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\n  \n 2018\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding.\n \n \n \n \n\n\n \n Gautier, E.; and Le Pennec, E.\n\n\n \n\n\n\n EJS, 12. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Adaptive pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{gautier16:_adapt_estim_nonpar_random_coeff,\n  author =\t {Gautier, E. and Le Pennec, E.},\n  title =\t {Adaptive Estimation in the Nonparametric Random\n                  Coefficients Binary Choice Model by Needlet\n                  Thresholding},\n  journal =\t {EJS},\n  year =\t 2018,\n  volume =\t 12,\n  nummber =\t 1,\n  page =\t {277-320},\n  doi =\t\t {10.1214/17-EJS1383},\n  SICI =\t {1935-7524(2018)12:1<277:AEITNR>2.0.CO;2-U},\n  keywords =\t {Article, Needlet, ThemeNeedlet},\n  pubtype =\t {Article},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2017-arXiv-GLP.pdf},\n  reprint =\t {Needlet/2018-EJS-GLP.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2018-EJS-GLP.pdf},\n  reprintok =\t 1,\n  lang =\t {English},\n  hal =\t\t {inria-00601274},\n  arXiv =\t {1106.3503},\n  inriaRR =\t 7647,\n}\n\n\n\n%%% 2017\n\n
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\n \n\n \n \n \n \n \n \n Fractional-order variational numerical methods for tomographic reconstruction of binary images .\n \n \n \n \n\n\n \n Bergounioux, M.; Le Pennec, E.; and Trélat, E.\n\n\n \n\n\n\n Preprint. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Fractional-order pdf\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Bergounioux18,\n  author =\t {Bergounioux, M. and Le Pennec, E. and Trélat, E.},\n  title =\t {Fractional-order variational numerical methods for\n                  tomographic reconstruction of binary images },\n  journal =\t {Preprint},\n  year =\t 2018,\n  lang =\t {English},\n  keywords =\t {Preprint, Needlet, ThemeNeedlet},\n  pubtype =\t {Preprint},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2018-HAL-BLPT.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Preprint/Needlet/2018-HAL-BLPT.pdf},\n  hal =\t\t {hal-01794224}\n}\n\n
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\n \n\n \n \n \n \n \n \n Variational Methods for Tomographic Reconstruction with Few Views.\n \n \n \n \n\n\n \n Bergounioux, M.; Abraham, I.; Abraham, R.; Carlier, G.; Le Pennec, E.; and Trélat, E.\n\n\n \n\n\n\n . 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Variational pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{bergounioux18:_variat_method_tomog_recon_few_views,\n  author =\t {Bergounioux, M. and Abraham, I. and Abraham, R. and\n                  Carlier, G.  and Le Pennec, E. and Trélat, E.},\n  title =\t {Variational Methods for Tomographic Reconstruction\n                  with Few Views},\n  journaltitle = {Milan Journal of Mathematics},\n  year =\t 2018,\n  doi =\t\t {10.1007/s00032-018-0285-1},\n  lang =\t {English},\n  keywords =\t {Article, Needlet, ThemeNeedlet},\n  pubtype =\t {Preprint},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2018-arXiv-BAACLPT.pdf},\n  reprint =\t {Needlet/2018-Milan-BAACLPT.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2018-Milan-BAACLPT.pdf},\n  reprintOK =\t 1\n}\n\n
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\n \n\n \n \n \n \n \n \n Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding (extended version).\n \n \n \n \n\n\n \n Gautier, E.; and Le Pennec, E.\n\n\n \n\n\n\n Technical Report Inria, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Adaptive pdf\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@TechReport{gautier11:_adapt_estim_nonpar_random_coeff,\n  author =\t {Gautier, E. and Le Pennec, E.},\n  title =\t {Adaptive Estimation in the Nonparametric Random\n                  Coefficients Binary Choice Model by Needlet\n                  Thresholding (extended version)},\n  institution =\t {Inria},\n  year =\t 2013,\n  keywords =\t {TechReport, Needlet, ThemeNeedlet},\n  pubtype =\t {Technical report},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2011-arXiv-GLP.pdf},\n  url_PDF = {http://lepennec.perso.math.cnrs.fr/Preprint/Needlet/2011-arXiv-GLP.pdf},\n  lang =\t {English},\n  hal =\t\t {inria-00601274v1},\n  arXiv =\t {1106.3503},\n  inriaRR =\t 7647\n}\n\n
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\n \n\n \n \n \n \n \n \n Radon needlet thresholding.\n \n \n \n \n\n\n \n Kerkyacharian, G.; Le Pennec, E.; and Picard, D.\n\n\n \n\n\n\n Bernoulli, 18(2): 391–433. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Radon pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{kerkyachaian10:_radon,\n  author =\t {Kerkyacharian, G. and Le Pennec, E. and Picard, D.},\n  title =\t {Radon needlet thresholding},\n  journal =\t {Bernoulli},\n  fjournal =\t {Bernoulli},\n  year =\t 2012,\n  volume =\t 18,\n  number =\t 2,\n  pages =\t {391--433},\n  x-editorial-board ={yes},\n  x-international-audience ={yes},\n  keywords =\t {Article, Needlet, ThemeNeedlet},\n  pubtype =\t {Article},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2010-Bernoulli-KLPP.pdf},\n  reprint =\t {Needlet/2012-Bernoulli-KLPP.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2012-Bernoulli-KLPP.pdf},\n  reprintok =\t 1,\n  lang =\t {English},\n  hal =\t\t {hal-00409903},\n  arXiv =\t {0908.2514},\n  doi =\t\t {10.3150/10-BEJ340},\n}\n\n%%% 2011\n\n
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\n \n\n \n \n \n \n \n \n Inversion of noisy Radon transform by SVD based needlets.\n \n \n \n \n\n\n \n Kerkyacharian, G.; Kyriazis, G.; Le Pennec, E.; Petrushev, P.; and Picard, D.\n\n\n \n\n\n\n Appl. Comput. Harmon. Anal., 28(1): 24–45. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"Inversion pdf\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article {kerkyacharian10:_inver_radon_svd,\n  AUTHOR =\t {Kerkyacharian, G. and Kyriazis, G. and Le Pennec,\n                  E. and Petrushev, P. and Picard, D.},\n  TITLE =\t {Inversion of noisy {Radon} transform by SVD based\n                  needlets},\n  JOURNAL =\t {Appl. Comput. Harmon. Anal.},\n  FJOURNAL =\t {Applied and Computational Harmonic Analysis},\n  YEAR =\t 2010,\n  VOLUME =\t 28,\n  NUMBER =\t 1,\n  PAGES =\t {24--45},\n  x-editorial-board ={yes},\n  x-international-audience ={yes},\n  keywords =\t {Article, Needlet, TOP10,ThemeNeedlet},\n  pubtype =\t {Article},\n  subject =\t {Needlet},\n  preprint =\t {Needlet/2010-ACHA-KKLPPP.pdf},\n  reprint =\t {Needlet/2010-ACHA-KKLPPP.pdf},\n  url_PDF =\n                  {http://lepennec.perso.math.cnrs.fr/Reprint/Needlet/2010-ACHA-KKLPPP.pdf},\n  reprintok =\t 1,\n  lang =\t {English},\n  hal =\t\t {hal-00321894},\n  arXiv =\t {0809.3332},\n  doi =\t\t {10.1016/j.acha.2009.06.001},\n}\n\n
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