@inproceedings{
 title = {The application of bayesian networks to approximate the probability distribution of returns of equities},
 type = {inproceedings},
 year = {2009},
 keywords = {Bayes methods,Bayesian method,Bayesian methods,Bayesian network,Design engineering,ETF,Economic forecasting,Grounding,Pricing,Probability density function,Probability distribution,Sampling methods,Systems engineering and theory,USA Councils,belief networks,commodity trading,exchange-traded fund,finance application,financial data processing,posterior probability distribution approximation,returns-of-equity index,security future price movement,share prices,statistical distributions,statistical testing,trading strategy,unsupervised learning,unsupervised learning process},
 pages = {177-182},
 websites = {http://ieeexplore.ieee.org/articleDetails.jsp?arnumber=5166176},
 month = {4},
 publisher = {IEEE},
 id = {4e0d0242-c65c-3fd5-a948-ddee359e5649},
 created = {2015-04-22T21:03:44.000Z},
 accessed = {2015-04-22},
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 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
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 last_modified = {2017-03-14T13:43:36.285Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 language = {English},
 private_publication = {false},
 bibtype = {inproceedings},
 author = {English, Timothy S. and Ledwith, Michael J. and Davis, Ginger M.},
 booktitle = {2009 Systems and Information Engineering Design Symposium}
}

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