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  2019 (6)
Fehrmann, L.; Kukunda, C. B.; Nölke, N.; Schnell, S.; Seidel, D.; Magnussen, S.; and Kleinn, C. A unified framework for land cover monitoring based on a discrete global sampling grid (GSG). Environmental Monitoring and Assessment, 191(2). 2019.
A unified framework for land cover monitoring based on a discrete global sampling grid (GSG) [link]Paper   doi   bibtex
Freudenberg, M.; Nölke, N.; Agostini, A.; Urban, K.; Wörgötter, F.; and Kleinn, C. Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net. Remote Sensing, 11(3): 312. 2019.
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Kukunda, C. B.; Beckschäfer, P.; Magdon, P.; Schall, P.; Wirth, C.; and Kleinn, C. Scale-guided mapping of forest stand structural heterogeneity from airborne LiDAR. Ecological Indicators, 102: 410–425. 2019.
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Li, Z.; Gao, N.; Martini, J. W. R.; and Simianer, H. Integrating Gene Expression Data Into Genomic Prediction. Frontiers in Genetics, 10: 126. 2019.
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Martini, J. W. R.; Rosales, F.; Ha, N.; Heise, J.; Wimmer, V.; and Kneib, T. Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions. G3 (Bethesda, Md.). 2019.
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Yasmeen, S.; Papiol, S.; Falkai, P.; Schulze, T. G.; and Bickeböller, H. Polygenic Risk for Schizophrenia and Global Assessment of Functioning – A Comparison with In-Silico Data. Journal of Psychiatry and Brain Science. 2019.
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  2018 (19)
Beduschi, T.; Kormann, U. G.; Tscharntke, T.; and Scherber, C. Spatial community turnover of pollinators is relaxed by semi-natural habitats, but not by mass-flowering crops in agricultural landscapes. Biological Conservation, 221: 59–66. 2018.
Spatial community turnover of pollinators is relaxed by semi-natural habitats, but not by mass-flowering crops in agricultural landscapes [link]Paper   doi   bibtex
Beissinger, T.; Kruppa, J.; Cavero, D.; Ha, N.; Erbe, M.; and Simianer, H. A Simple Test Identifies Selection on Complex Traits. Genetics, 209(1): 321–333. 2018.
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Hambuckers, J.; Kneib, T.; Langrock, R.; and Silbersdorff, A. A Markov-switching generalized additive model for compound Poisson processes, with applications to operational loss models. Quantitative Finance, 18(10): 1679–1698. 2018.
A Markov-switching generalized additive model for compound Poisson processes, with applications to operational loss models [link]Paper   doi   bibtex
Hambuckers, J.; Groll, A.; and Kneib, T. Understanding the economic determinants of the severity of operational losses: A regularized generalized Pareto regression approach. Journal of Applied Econometrics. 2018.
Understanding the economic determinants of the severity of operational losses: A regularized generalized Pareto regression approach [link]Paper   doi   bibtex
Heise, J.; Stock, K. F.; Reinhardt, F.; Ha, N.; and Simianer, H. Phenotypic and genetic relationships between age at first calving, its component traits, and survival of heifers up to second calving. Journal of Dairy Science, 101(1): 425–432. 2018.
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Herwartz, H.; and Schley, K. Improving health care service provision by adapting to regional diversity: An efficiency analysis for the case of Germany. Health policy (Amsterdam, Netherlands), 122(3): 293–300. 2018.
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Hesselbarth, M.; Wiegand, K.; Dreber, N.; Kellner, K.; Esser, D.; and Tsvuura, Z. Density-dependent spatial patterning of woody plants differs between a semi-arid and a mesic savanna in South Africa. Journal of Arid Environments, 157: 103–112. 2018.
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Kukunda, C. B.; Duque-Lazo, J.; González-Ferreiro, E.; Thaden, H.; and Kleinn, C. Ensemble classification of individual Pinus crowns from multispectral satellite imagery and airborne LiDAR. International Journal of Applied Earth Observation and Geoinformation, 65: 12–23. 2018.
Ensemble classification of individual Pinus crowns from multispectral satellite imagery and airborne LiDAR [link]Paper   doi   bibtex
Martini, J. W. R.; Schrauf, M. F.; Garcia-Baccino, C. A.; Pimentel, E. C. G.; Munilla, S.; Rogberg-Muñoz, A.; Cantet, R. J. C.; Reimer, C.; Gao, N.; Wimmer, V.; and Simianer, H. The effect of the H\textsuperscript-1 scaling factors \textgreekt and \textgreekw on the structure of H in the single-step procedure. Genetics, Selection, Evolution : GSE, 50(1): 16. 2018.
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Radny, J.; van der Putten , W. H.; Tielbörger, K.; and Meyer, K. M. Influence of seed size on performance of non-native annual plant species in a novel community at two planting densities. Acta Oecologica, 92: 131–137. 2018.
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Radny, J.; and Meyer, K. M. The role of biotic factors during plant establishment in novel communities assessed with an agent-based simulation model. PeerJ, 6: e5342. 2018.
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Reimer, C.; Rubin, C.; Sharifi, A. R.; Ha, N.; Weigend, S.; Waldmann, K.; Distl, O.; Pant, S. D.; Fredholm, M.; Schlather, M.; and Simianer, H. Analysis of porcine body size variation using re-sequencing data of miniature and large pigs. BMC genomics, 19(1): 687. 2018.
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Schley, K. Health care service provision in Europe and regional diversity: a stochastic metafrontier approach. Health Economics Review, 8(1). 2018.
Health care service provision in Europe and regional diversity: a stochastic metafrontier approach [link]Paper   doi   bibtex
Simpkins, C. E.; Dennis, T. E.; Etherington, T. R.; and Perry, G. L. Assessing the performance of common landscape connectivity metrics using a virtual ecologist approach. Ecological Modelling, 367: 13–23. 2018.
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Simpkins, C.; Lee, F.; Powers, B.; Anderson, S.; Asena, Q.; Brock, J.; and Perry, G. Population viability analyses in New Zealand: a review. New Zealand Journal of Ecology, 42(2): 107–115. 2018.
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Skevas, I.; Emvalomatis, G.; and Brümmer, B. Heterogeneity of Long-run Technical Efficiency of German Dairy Farms: A Bayesian Approach. Journal of Agricultural Economics, 69(1): 58–75. 2018.
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Skevas, I.; Emvalomatis, G.; and Brümmer, B. The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming. European Review of Agricultural Economics, 45(1): 3–25. 2018.
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Thaden, H.; and Kneib, T. Structural Equation Models for Dealing With Spatial Confounding. The American Statistician, 72(3): 239–252. 2018.
Structural Equation Models for Dealing With Spatial Confounding [link]Paper   doi   bibtex   abstract
Yasmeen, S.; Burger, P.; Friedrichs, S.; Papiol, S.; and Bickeböller, H. Relating drug response to epigenetic and genetic markers using a region-based kernel score test. BMC Proceedings, 12(Suppl 9): 47. 2018.
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  2017 (12)
Dislich, C.; Keyel, A. C.; Salecker, J.; Kisel, Y.; Meyer, K. M.; Auliya, M.; Barnes, A. D.; Corre, M. D.; Darras, K.; Faust, H.; Hess, B.; Klasen, S.; Knohl, A.; Kreft, H.; Meijide, A.; Nurdiansyah, F.; Otten, F.; Pe'er, G.; Steinebach, S.; Tarigan, S.; Tölle, M. H.; Tscharntke, T.; and Wiegand, K. A review of the ecosystem functions in oil palm plantations, using forests as a reference system. Biological reviews of the Cambridge Philosophical Society, 92(3): 1539–1569. 2017.
A review of the ecosystem functions in oil palm plantations, using forests as a reference system [link]Paper   doi   bibtex   abstract
Friedrichs, S.; Manitz, J.; Burger, P.; Amos, C. I.; Risch, A.; Chang-Claude, J.; Wichmann, H.; Kneib, T.; Bickeböller, H.; and Hofner, B. Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. Computational and Mathematical Methods in Medicine, 2017: 1–17. 2017.
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies [link]Paper   doi   bibtex
Gao, N.; Martini, J. W. R.; Zhang, Z.; Yuan, X.; Zhang, H.; Simianer, H.; and Li, J. Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes. Genetics, 207(2): 489–501. 2017.
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Ha, N.; Sharifi, A. R.; Heise, J.; Schlather, M.; Schnyder, U.; Gross, J. J.; Schmitz-Hsu, F.; Bruckmaier, R. M.; and Simianer, H. A reaction norm sire model to study the effect of metabolic challenge in early lactation on the functional longevity of dairy cows. Journal of Dairy Science, 100(5): 3742–3753. 2017.
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Ha, N.; Drögemüller, C.; Reimer, C.; Schmitz-Hsu, F.; Bruckmaier, R. M.; Simianer, H.; and Gross, J. J. Liver transcriptome analysis reveals important factors involved in the metabolic adaptation of the transition cow. Journal of Dairy Science, 100(11): 9311–9323. 2017.
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Hambuckers, J.; Dauvrin, A.; Trolliet, F.; Evrard, Q.; Forget, P. M.; and Hambuckers, A. How can seed removal rates of zoochoric tree species be assessed quickly and accurately?. Forest Ecology and Management, 403: 152–160. 2017.
How can seed removal rates of zoochoric tree species be assessed quickly and accurately? [link]Paper   doi   bibtex
Manitz, J.; Harbering, J.; Schmidt, M.; Kneib, T.; and Schöbel, A. Source estimation for propagation processes on complex networks with an application to delays in public transportation systems. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(3): 521–536. 2017.
Source estimation for propagation processes on complex networks with an application to delays in public transportation systems [link]Paper   doi   bibtex
Martini, J. W. R.; Gao, N.; Cardoso, D. F.; Wimmer, V.; Erbe, M.; Cantet, R. J. C.; and Simianer, H. Genomic prediction with epistasis models: on the marker-coding-dependent performance of the extended GBLUP and properties of the categorical epistasis model (CE). BMC bioinformatics, 18(1): 3. 2017.
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Rosenberger, A.; Sohns, M.; Friedrichs, S.; Hung, R. J.; Fehringer, G.; McLaughlin, J.; Amos, C. I.; Brennan, P.; Risch, A.; Brüske, I.; Caporaso, N. E.; Landi, M. T.; Christiani, D. C.; Wei, Y.; and Bickeböller, H. Gene-set meta-analysis of lung cancer identifies pathway related to systemic lupus erythematosus. PLOS ONE, 12(3): e0173339+. 2017.
Gene-set meta-analysis of lung cancer identifies pathway related to systemic lupus erythematosus [link]Paper   doi   bibtex   abstract
Thaden, H.; Pata, M. P.; Klein, N.; Cadarso-Suárez, C.; and Kneib, T. Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels. Spatial Statistics, 22: 419–433. 2017.
Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels [link]Paper   doi   bibtex
Tifaoui, S.; and von Cramon-Taubadel, S. Temporary Sales Prices and Asymmetric Price Transmission. Agribusiness, 33(1): 85–97. 2017.
Temporary Sales Prices and Asymmetric Price Transmission [link]Paper   doi   bibtex   abstract
  2016 (16)
Friedrichs, S.; Malzahn, D.; Pugh, E. W.; Almeida, M.; Liu, X. Q.; and Bailey, J. N. Filtering genetic variants and placing informative priors based on putative biological function. BMC Genetics, 17(S2). 2016.
Filtering genetic variants and placing informative priors based on putative biological function [link]Paper   doi   bibtex
Hambuckers, J.; and Heuchenne, C. Estimating the Out-of-Sample Predictive Ability of Trading Rules: A Robust Bootstrap Approach. Journal of Forecasting, 35(4): 347–372. 2016.
Estimating the Out-of-Sample Predictive Ability of Trading Rules: A Robust Bootstrap Approach [link]Paper   doi   bibtex   abstract
Hambuckers, J.; and Heuchenne, C. A robust statistical approach to select adequate error distributions for financial returns. Journal of Applied Statistics, 44(1): 137–161. 2016.
A robust statistical approach to select adequate error distributions for financial returns [link]Paper   doi   bibtex
Herwartz, H.; Klein, N.; and Strumann, C. Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models. Journal of Applied Econometrics, 31(6): 1159–1182. 2016.
Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models [link]Paper   doi   bibtex
Keyel, A. C.; Gerstenlauer, J. L. K.; and Wiegand, K. SpatialDemography: a spatially explicit, stage-structured, metacommunity model. Ecography, 39(11): 1129–1137. 2016.
SpatialDemography: a spatially explicit, stage-structured, metacommunity model [link]Paper   doi   bibtex
Keyel, A. C.; and Wiegand, K. Validating the use of unique trait combinations for measuring multivariate functional richness. Methods in Ecology and Evolution, 7(8): 929–936. 2016.
Validating the use of unique trait combinations for measuring multivariate functional richness [link]Paper   doi   bibtex
Klein, N.; and Kneib, T. New Notion of Bivariate Quantiles based on the Cumulative Distribution Function. . 2016.
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Klein, N.; and Kneib, T. Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression. Bayesian Analysis, 11(4): 1071–1106. 2016.
Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression [link]Paper   doi   bibtex
Kormann, U.; Scherber, C.; Tscharntke, T.; Klein, N.; Larbig, M.; Valente, J. J.; Hadley, A. S.; and Betts, M. G. Corridors restore animal-mediated pollination in fragmented tropical forest landscapes. Proc. R. Soc. B, 283(1823): 20152347+. 2016.
Corridors restore animal-mediated pollination in fragmented tropical forest landscapes [link]Paper   doi   bibtex
Madeira, F.; Tscharntke, T.; Elek, Z.; Kormann, U. G.; Pons, X.; Rösch, V.; Samu, F.; Scherber, C.; and Batáry, P. Spillover of arthropods from cropland to protected calcareous grassland – the neighbouring habitat matters. Agriculture, Ecosystems & Environment, 235: 127–133. 2016.
Spillover of arthropods from cropland to protected calcareous grassland – the neighbouring habitat matters [link]Paper   doi   bibtex
März, A.; Klein, N.; Kneib, T.; and Musshoff, O. Analysing farmland rental rates using Bayesian geoadditive quantile regression. European Review of Agricultural Economics, 43(4): 663–698. 2016.
Analysing farmland rental rates using Bayesian geoadditive quantile regression [link]Paper   doi   bibtex
Malzahn, D.; Friedrichs, S.; and Bickeböller, H. Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data. BMC Proceedings, 10(S7). 2016.
Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype data [link]Paper   doi   bibtex
Martini, J. W. R.; Wimmer, V.; Erbe, M.; and Simianer, H. Epistasis and covariance: how gene interaction translates into genomic relationship. TAG. Theoretical and Applied Genetics. Theoretische und angewandte Genetik, 129(5): 963–976. 2016.
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Schwarzer, A.; Bergmann, S.; Manitz, J.; Küchenhoff, H.; Erhard, M.; and Rauch, E. Behavioral studies on the use of open water basins by American mink (Neovison vison). Journal of Veterinary Behavior: Clinical Applications and Research, 13: 19–26. 2016.
Behavioral studies on the use of open water basins by American mink (Neovison vison) [link]Paper   doi   bibtex
Tahden, M.; Manitz, J.; Baumgardt, K.; Fell, G.; Kneib, T.; and Hegasy, G. Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011. PLOS ONE, 11(10): e0164508+. 2016.
Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011 [link]Paper   doi   bibtex   abstract
Wood, S. N.; Pya, N.; and Säfken, B. Smoothing Parameter and Model Selection for General Smooth Models. Journal of the American Statistical Association, 111(516): 1548–1563. 2016.
Smoothing Parameter and Model Selection for General Smooth Models [link]Paper   doi   bibtex   abstract
  2015 (19)
Beduschi, T.; Tscharntke, T.; and Scherber, C. Using multi-level generalized path analysis to understand herbivore and parasitoid dynamics in changing landscapes. , 30(10): 1975–1986. 2015.
Using multi-level generalized path analysis to understand herbivore and parasitoid dynamics in changing landscapes [link]Paper   doi   bibtex
Berger, S.; Schlather, M.; de los Campos , G.; Weigend, S.; Preisinger, R.; Erbe, M.; and Simianer, H. A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions. PLOS ONE, 10(10): e0141216+. 2015.
A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions [link]Paper   doi   bibtex   abstract
Berger, S.; and Pérez-Rodrlos Campos, G. Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals. Annals of Human Genetics, 79(2): 122–135. 2015.
Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals [link]Paper   doi   bibtex   abstract
Engelke, S.; Malinowski, A.; Kabluchko, Z.; and Schlather, M. Estimation of Hüsler-Reiss distributions and Brown-Resnick processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77(1): 239–265. 2015.
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Esser, D. S.; Leveau, J. H. J.; and Meyer Modeling microbial growth and dynamics. Applied Microbiology and Technology, 99(21). 2015.
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Esser, D. S.; Leveau, J. H. J.; Meyer, K. M.; and Wiegand, K. Spatial scales of interactions among bacteria and between bacteria and the leaf surface. FEMS Microbiology Ecology, 91(3). 2015.
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Ha, N.; Gross, J. J.; van Dorland , A.; Tetens, J.; Thaller, G.; Schlather, M.; Bruckmaier, R.; and Simianer, H. Gene-based mapping and pathway analysis of metabolic traits in dairy cows. PLOS ONE, 10(3): e0122325. 2015.
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Ha, N.; Gross, J. J.; van Dorland , A.; Tetens, J.; Thaller, G.; Schlather, M.; Bruckmaier, R.; and Simianer, H. Gene-Based Mapping and Pathway Analysis of Metabolic Traits in Dairy Cows. PLOS ONE, 10(3). 2015.
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Klaus, F.; Bass, J.; Marholt, L.; Müller, B.; Klatt, B.; and Kormann, U. Hedgerows Have a Barrier Effect and Channel Pollinator Movement in the Agricultural Landscape. Journal of Landscape Ecology, 8(1). 2015.
Hedgerows Have a Barrier Effect and Channel Pollinator Movement in the Agricultural Landscape [link]Paper   doi   bibtex
Klein, N.; Kneib, T.; Klasen, S.; and Lang, S. Bayesian structured additive distributional regression for multivariate responses. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(4): 569–591. 2015.
Bayesian structured additive distributional regression for multivariate responses [link]Paper   doi   bibtex
Klein, N.; Kneib, T.; and Lang, S. Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed~Count~Data. Journal of the American Statistical Association, 110(509): 405–419. 2015.
Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed~Count~Data [link]Paper   doi   bibtex   abstract
Klein, N.; Kneib, T.; Lang, S.; and Sohn, A. Bayesian structured additive distributional regression with an application to regional income inequality in Germany. The Annals of Applied Statistics, 9(2): 1024–1052. 2015.
Bayesian structured additive distributional regression with an application to regional income inequality in Germany [link]Paper   doi   bibtex   abstract
Klein, N.; and Kneib, T. Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. Statistics and Computing, 26(4): 841–860. 2015.
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach [link]Paper   doi   bibtex
Kormann, U.; Rösch, V.; Batáry, P.; Tscharntke, T.; Orci, K. M.; Samu, F.; and Scherber, C. Local and landscape management drive trait-mediated biodiversity of nine taxa on small grassland fragments. Diversity Distrib, 21(10): 1204–1217. 2015.
Local and landscape management drive trait-mediated biodiversity of nine taxa on small grassland fragments [link]Paper   doi   bibtex   abstract
Rosenberger, A.; Friedrichs, S.; Amos, C. I.; Brennan, P.; Fehringer, G.; Heinrich, J.; Hung, R. J.; Muley, T.; Müller-Nurasyid, M.; Risch, A.; and Bickeböller, H. META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies. PLOS ONE, 10(10): e0140179+. 2015.
META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies [link]Paper   doi   bibtex   abstract
Sohn, A.; Klein, N.; and Kneib, T. A Semiparametric Analysis of Conditional Income Distributions. Schmollers Jahrbuch, 135(1): 13–22. 2015.
A Semiparametric Analysis of Conditional Income Distributions [link]Paper   doi   bibtex
Sutcliffe, L. M. E.; Batáry, P.; Kormann, U.; Báldi, A.; Dicks, L. V.; Herzon, I.; Kleijn, D.; Tryjanowski, P.; Apostolova, I.; Arlettaz, R.; Aunins, A.; Aviron, S.; Baležentienė, L.; Fischer, C.; Halada, L.; Hartel, T.; Helm, A.; Hristov, I.; Jelaska, S. D.; Kaligarič, M.; Kamp, J.; Klimek, S.; Koorberg, P.; Kostiuková, J.; Kovács-Hostyánszki, A.; Kuemmerle, T.; Leuschner, C.; Lindborg, R.; Loos, J.; Maccherini, S.; Marja, R.; Máthé, O.; Paulini, I.; Proença, V.; Rey-Benayas, J.; Sans, F. X.; Seifert, C.; Stalenga, J.; Timaeus, J.; Török, P.; van Swaay , C.; Viik, E.; and Tscharntke, T. Harnessing the biodiversity value of Central and Eastern European farmland. Diversity and Distributions, 21(6): 722–730. 2015.
Harnessing the biodiversity value of Central and Eastern European farmland [link]Paper   doi   bibtex
Zahawi, R. A.; Duran, G.; and Kormann, U. Sixty-Seven Years of Land-Use Change in Southern Costa Rica. PLOS ONE, 10(11): e0143554+. 2015.
Sixty-Seven Years of Land-Use Change in Southern Costa Rica [link]Paper   doi   bibtex
Zhang, Z.; Erbe, M.; He, J.; Ober, U.; Gao, N.; Zhang, H.; Simianer, H.; and Liand, J. Accuracy of Whole-Genome Prediction Using a Genetic Architecture-Enhanced Variance-Covariance Matrix. G3: Genes|Genomes|Genetics, g3.114.016261. 2015.
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  2014 (13)
Chisholm, R. A.; Condit, R.; Rahman; Baker, P. J.; Bunyavejchewin, S.; Chen, Y.; Chuyong, G.; Dattaraja, H. S.; Davies, S.; Ewango, C. E. N.; Gunatilleke, C. V. S.; Nimal Gunatilleke, I. A. U.; Hubbell, S.; Kenfack, D.; Kiratiprayoon, S.; Lin, Y.; Makana, J.; Pongpattananurak, N.; Pulla, S.; Punchi-Manage, R.; Sukumar, R.; Su, S.; Sun, I.; Suresh, H. S.; Tan, S.; Thomas, D.; and Yap, S. Temporal variability of forest communities: empirical estimates of population change in 4000 tree species. Ecology Letters, 17(7): 855–865. 2014.
Temporal variability of forest communities: empirical estimates of population change in 4000 tree species [link]Paper   doi   bibtex   abstract
Engelke, S.; Malinowski, A.; Oesting, M.; and Schlather, M. Statistical Inference for Max-Stable Processes by Conditioning on Extreme Events. Advances in Applied Probability, 46(02): 478–495. 2014.
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Ha, N.; Freytag, S.; and Bickeboeller, H. Coverage and efficiency in current SNP chips. European Journal of Human Genetics : EJHG, 22(9): 1124–1130. 2014.
Coverage and efficiency in current SNP chips [link]Paper   doi   bibtex   abstract
Klein, N.; Herwartz, H.; and Kneib, T. Modelling Regional Patterns of Efficiency: A Bayesian Approach to Geoadditive Panel Stochastic Frontier Analysis with an Application to Cereal Production in England and Wales. . 2014.
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Klein, N.; Denuit, M.; Lang, S.; and Kneib, T. Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape. Insurance: Mathematics and Economics, 55: 225–249. 2014.
Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape [link]Paper   doi   bibtex
Malzahn, D.; Friedrichs, S.; Rosenberger, A.; and Bickeböller, H. Kernel score statistic for dependent data. BMC Proceedings, 8(Suppl 1): S41. 2014.
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Manitz, J.; Kneib, T.; Schlather, M.; Helbing, D.; and Brockmann, D. Origin Detection During Food-borne Disease Outbreaks – A Case Study of the 2011 EHEC/HUS Outbreak in Germany. PLoS Currents: Outbreaks. 2014.
Origin Detection During Food-borne Disease Outbreaks – A Case Study of the 2011 EHEC/HUS Outbreak in Germany [link]Paper   doi   bibtex
Pfeifer, M.; Lefebvre, V.; Gardner, T. A.; Arroyo-Rodriguez, V.; Baeten, L.; Banks-Leite, C.; Barlow, J.; Betts, M. G.; Brunet, J.; Cerezo, A.; Cisneros, L. M.; Collard, S.; D'Cruze, N.; da Silva Motta , C.; Duguay, S.; Eggermont, H.; Eigenbrod, F.; Hadley, A. S.; Hanson, T. R.; Hawes, J. E.; Heartsill Scalley, T.; Klingbeil, B. T.; Kolb, A.; Kormann, U.; Kumar, S.; Lachat, T.; Lakeman Fraser, P.; Lantschner, V.; Laurance, W. F.; Leal, I. R.; Lens, L.; Marsh, C. J.; Medina-Rangel, G. F.; Melles, S.; Mezger, D.; Oldekop, J. A.; Overal, W. L.; Owen, C.; Peres, C. A.; Phalan, B.; Pidgeon, A. M.; Pilia, O.; Possingham, H. P.; Possingham, M. L.; Raheem, D. C.; Ribeiro, D. B.; Ribeiro Neto, J. D.; Douglas Robinson, W.; Robinson, R.; Rytwinski, T.; Scherber, C.; Slade, E. M.; Somarriba, E.; Stouffer, P. C.; Struebig, M. J.; Tylianakis, J. M.; Tscharntke, T.; Tyre, A. J.; Urbina Cardona, J. N.; Vasconcelos, H. L.; Wearn, O.; Wells, K.; Willig, M. R.; Wood, E.; Young, R. P.; Bradley, A. V.; and Ewers, R. M. BIOFRAG - a new database for analyzing BIOdiversity responses to forest FRAGmentation. Ecology and Evolution, 4(9): 1524–1537. 2014.
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Punchi-Manage, R.; Wiegand, T.; Wiegand, K.; Getzin, S.; Gunatilleke, C. V. S.; and Gunatilleke, I. A. U. Nimal Effect of spatial processes and topography on structuring species assemblages in a Sri Lankan dipterocarp forest. Ecology, 95(2): 376–386. 2014.
Effect of spatial processes and topography on structuring species assemblages in a Sri Lankan dipterocarp forest [link]Paper   doi   bibtex
Réjou-Méchain, M.; Muller-Landau, H. C.; Detto, M.; Thomas, S. C.; Le Toan, T.; Saatchi, S. S.; Barreto-Silva, J. S.; Bourg, N. A.; Bunyavejchewin, S.; Butt, N.; Brockelman, W. Y.; Cao, M.; Cárdenas, D.; Chiang, J. M.; Chuyong, G. B.; Clay, K.; Condit, R.; Dattaraja, H. S.; Davies, S. J.; Duque, A.; Esufali, S.; Ewango, C.; Fernando, R. H. S.; Fletcher, C. D.; Gunatilleke, I. A. U. N.; Hao, Z.; Harms, K. E.; Hart, T. B.; Hérault, B.; Howe, R. W.; Hubbell, S. P.; Johnson, D. J.; Kenfack, D.; Larson, A. J.; Lin, L.; Lin, Y.; Lutz, J. A.; Makana, J. R.; Malhi, Y.; Marthews, T. R.; McEwan, R. W.; McMahon, S. M.; McShea, W. J.; Muscarella, R.; Nathalang, A.; Noor, N. S. M.; Nytch, C. J.; Oliveira, A. A.; Phillips, R. P.; Pongpattananurak, N.; Punchi-Manage, R.; Salim, R.; Schurman, J.; Sukumar, R.; Suresh, H. S.; Suwanvecho, U.; Thomas, D. W.; Thompson, J.; Ur$\backslash$'\iarte, M.; Valencia, R.; Vicentini, A.; Wolf, A. T.; Yap, S.; Yuan, Z.; Zartman, C. E.; Zimmerman, J. K.; and Chave, J. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks. Biogeosciences Discussions, 11(4): 5711–5742. 2014.
Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks [link]Paper   doi   bibtex   abstract
Saefken, B.; Kneib, T.; van Waveren , C.; and Greven, S. A Unifying Approach to the Estimation of the Conditional Akaike Information in Generalized Linear Mixed Models. Electronic Journal of Statistics, 8: 201–225. 2014.
A Unifying Approach to the Estimation of the Conditional Akaike Information in Generalized Linear Mixed Models [link]Paper   doi   bibtex
Weigend, S.; Janßen-Tapken, U.; Erbe, M.; Ober, U.; Weigend, A.; Preisinger, R.; and Simianer, H. Biodiversität beim Huhn – Potenziale für die Praxis. Züchtungskunde, 86(1): 24–41. 2014.
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Zhang, Z.; Ober, U.; Erbe, M.; Zhang, H.; Gao, N.; He, J.; Li, J.; and Simianer, H. Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PLOS ONE, 9(3): e93017. 2014.
Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies [link]Paper   doi   bibtex   abstract
  2013 (15)
Beckschäfer, P.; Mundhenk, P.; Kleinn, C.; Ji, Y.; Yu, D. W.; and Harrison, R. D. Enhanced Structural Complexity Index: An Improved Index for Describing Forest Structural Complexity. Open Journal of Forestry, 3(01): 23–29. 2013.
Enhanced Structural Complexity Index: An Improved Index for Describing Forest Structural Complexity [link]Paper   doi   bibtex   abstract
Beduschi, T.; and Castellani, T. T. Friends or Foes? Interplay of facilitation and competition depends on the interaction between abiotic stress and ontogenetic stage. Plant Ecology, 214(12): 1485–1492. 2013.
Friends or Foes? Interplay of facilitation and competition depends on the interaction between abiotic stress and ontogenetic stage [link]Paper   doi   bibtex   abstract
Chisholm, R. A.; Muller-Landau, H. C.; Abdul Rahman, K.; Bebber, D. P.; Bin, Y.; Bohlman, S. A.; Bourg, N. A.; Brinks, J.; Bunyavejchewin, S.; Butt, N.; Cao, H.; Cao, M.; Cárdenas, D.; Chang, L.; Chiang, J.; Chuyong, G.; Condit, R.; Dattaraja, H. S.; Davies, S.; Duque, A.; Fletcher, C.; Gunatilleke, N.; Gunatilleke, S.; Hao, Z.; Harrison, R. D.; Howe, R.; Hsieh, C.; Hubbell, S. P.; Itoh, A.; Kenfack, D.; Kiratiprayoon, S.; Larson, A. J.; Lian, J.; Lin, D.; Liu, H.; Lutz, J. A.; Ma, K.; Malhi, Y.; McMahon, S.; McShea, W.; Meegaskumbura, M.; Mohd; Morecroft, M. D.; Nytch, C. J.; Oliveira, A.; Parker, G. G.; Pulla, S.; Punchi-Manage, R.; Romero-Saltos, H.; Sang, W.; Schurman, J.; Su, S.; Sukumar, R.; Sun, I.; Suresh, H. S.; Tan, S.; Thomas, D.; Thomas, S.; Thompson, J.; Valencia, R.; Wolf, A.; Yap, S.; Ye, W.; Yuan, Z.; and Zimmerman, J. K. Scale-dependent relationships between tree species richness and ecosystem function in forests. Journal of Ecology, 101(5): 1214–1224. 2013.
Scale-dependent relationships between tree species richness and ecosystem function in forests [link]Paper   doi   bibtex
Freytag, S.; and Bickeböller, H. Comparison of Three Summary Statistics for Ranking Genes in Genome-Wide Association Studies. Statistics in Medicine. 2013.
Comparison of Three Summary Statistics for Ranking Genes in Genome-Wide Association Studies [link]Paper   doi   bibtex
Freytag, S.; Manitz, J.; Schlather, M.; Kneib, T.; Amos, C. I.; Risch, A.; Chang-Claude, J.; Heinrich, J.; and Bickeböller, H. A Network-Based Kernel Machine Test for the Identification of Risk Pathways in Genome-Wide Association Studies. Human Heredity, 76: 64–75. 2013.
A Network-Based Kernel Machine Test for the Identification of Risk Pathways in Genome-Wide Association Studies [link]Paper   doi   bibtex
Kormann, U.; and Sturmberger, B. A Sabine's Gull Xema sabini in Montenegro – first record in the north-eastern mediterranean and a short review of the species' status in the region. Acrocephalus, 34: 79–82. 2013.
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Manitz, J.; and Höhle, M. Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany. Biometrical Journal, 55(4): 509–526. 2013.
Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany [link]Paper   doi   bibtex
Manitz, J.; and Kneib, T. Model-based source estimation during foodborne disease outbreaks. Proceedings of 28th International Workshop on Statistical Modelling. 2013.
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Martini, J. W. R.; Schlather, M.; and Ullmann, G. M. On the interaction of two different types of ligands binding to the same molecule part I: basics and the transfer of the decoupled sites representation to systems with n and one binding sites. Journal of Mathematical Chemistry, 51(2): 672–695. 2013.
On the interaction of two different types of ligands binding to the same molecule part I: basics and the transfer of the decoupled sites representation to systems with n and one binding sites [link]Paper   doi   bibtex   abstract
Martini, J. W. R.; Schlather, M.; and Ullmann, G. M. On the interaction of different types of ligands binding to the same molecule Part II: systems with n to 2 and n to 3 binding sites. Journal of Mathematical Chemistry, 51(2): 696–714. 2013.
On the interaction of different types of ligands binding to the same molecule Part II: systems with n to 2 and n to 3 binding sites [link]Paper   doi   bibtex   abstract
Martini, J. W. R.; Ullmann, G. M.; and Schlather, M. The Meaning of the Decoupled Sites Representation in Terms of Statistical Mechanics and Stochastics. MATCH Communications in Mathematical and in Computer Chemistry, 70(3): 829–850. 2013.
The Meaning of the Decoupled Sites Representation in Terms of Statistical Mechanics and Stochastics [pdf]Paper   bibtex
Meichtry-Stier, K. S.; Korner-Nievergelt, F.; Kormann, U.; Spiess, M.; Mosimann-Kampe, P.; Strebel, S.; Zollinger, J. L.; and Spaar, R. Habitatwahl der Dorngrasmücke Sylvia communis in der Westschweiz: Folgerungen für die Artenförderung. Der Ornithologische Beobachter, 110(1): 1–15. 2013.
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Punchi-Manage, R.; Getzin, S.; Wiegand, T.; Kanagaraj, R.; Savitri Gunatilleke, C. V.; Nimal Gunatilleke, I. A. U.; Wiegand, K.; and Huth, A. Effects of topography on structuring local species assemblages in a Sri Lankan mixed dipterocarp forest. Journal of Ecology, 101(1): 149–160. 2013.
Effects of topography on structuring local species assemblages in a Sri Lankan mixed dipterocarp forest [link]Paper   doi   bibtex   abstract
Sobotka, F.; Kauermann, G.; Schulze Waltrup, L.; and Kneib, T. On confidence intervals for semiparametric expectile regression. Statistics and Computing, 23(2): 135–148. 2013.
On confidence intervals for semiparametric expectile regression [link]Paper   doi   bibtex   abstract
Sobotka, F.; Radice, R.; Marra, G.; and Kneib, T. Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(1): 25–45. 2013.
Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression [link]Paper   doi   bibtex
  2012 (5)
Freytag, S.; Bickeböller, H.; Amos, C. I.; Kneib, T.; and Schlather, M. A novel kernel for correcting size bias in the logistic kernel machine test with an application to rheumatoid arthritis. Human Heredity, 74(2): 97–108. 2012.
A novel kernel for correcting size bias in the logistic kernel machine test with an application to rheumatoid arthritis [link]Paper   doi   bibtex   abstract
Herrmann, J.; Kormann, U.; Schüepp, C.; Stocker, Y.; Herzog, F.; and Entling, M. Effects of habitat isolation and predation pressure on an arboreal food-web. Community Ecology, 13(1): 82–87. 2012.
Effects of habitat isolation and predation pressure on an arboreal food-web [link]Paper   doi   bibtex   abstract
Kormann, U.; Gugerli, F.; Ray, N.; Excoffier, L.; and Bollmann, K. Parsimony-based pedigree analysis and individual-based landscape genetics suggest topography to restrict dispersal and connectivity in the endangered capercaillie. Biological Conservation, 152: 241–252. 2012.
Parsimony-based pedigree analysis and individual-based landscape genetics suggest topography to restrict dispersal and connectivity in the endangered capercaillie [link]Paper   doi   bibtex   abstract
Martini, J. W. R.; and Ullmann, G. M. A mathematical view on the decoupled sites representation. Journal of Mathematical Biology, 66: 477–503. 2012.
A mathematical view on the decoupled sites representation [link]Paper   doi   bibtex   abstract
Ober, U.; Ayroles, J. F.; Stone, E. A.; Richards, S.; Zhu, D.; Gibbs, R. A.; Stricker, C.; Gianola, D.; Schlather, M.; Mackay, T. F. C.; and Simianer, H. Using whole-genome sequence data to predict quantitative trait phenotypes in \emphDrosophila melanogaster. PLoS Genetics, 8(5): e1002685. 2012.
Using whole-genome sequence data to predict quantitative trait phenotypes in \emphDrosophila melanogaster [link]Paper   doi   bibtex   abstract
  2011 (1)
Ober, U.; Erbe, M.; Long, N.; Porcu, E.; Schlather, M.; and Simianer, H. Predicting genetic values: A kernel-based best linear unbiased prediction with genomic data. Genetics, 188(3): 695–708. 2011.
Predicting genetic values: A kernel-based best linear unbiased prediction with genomic data [link]Paper   doi   bibtex   abstract
  2010 (1)
Mühlner, S.; Kormann, U.; Schmidt-Entling, M.; Herzog, F.; and Bailey, D. Structural Versus Functional Habitat Connectivity Measures to Explain Bird Diversity in Fragmented Orchards. Journal of Landscape Ecology, 3(1): 52–64. 2010.
Structural Versus Functional Habitat Connectivity Measures to Explain Bird Diversity in Fragmented Orchards [link]Paper   doi   bibtex