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Created with Raphaël 2.2.018Aug813Jul29Jun2323Sep181531Jul28Nov1119Oct1615148May3Jan20Dec18Oct1710May7Mar51Feb13Nov1024Sep17Aug25Jul21151129Jun1725Apr611Feb22Jan1996215Dec24Nov8229Oct2029Sep201917161514Aug76327Jul817Jun624May211918131211727Apr19161327Feb2625Jan2119171615874331Dec18543126Nov729Oct2123Sep2115111087525Aug2422191710511Jul108643119Jun1831May30272622121096420Apr181576117Mar1620Feb171110925Jan201917161521Dec19171615129329Nov2826Oct2418161476410Sep976425Aug22212019151413129226Jul2019181716753229Jun26252423191514131187620May171110930Apr2924222120181716151412111098543131Mar3029282625762Feb10Jan726Oct23191195422SepUpdate file README.mdmastermasterUpdate file README.mdchanged readmecommenting work and lintingworkingworkingcommenting workRevert "Revert "comments and variable renaming""extended gitignoreextended gitignoreRevert "comments and variable renaming"comments and variable renamingimproved commentingupdated dynamic glm codereal fixincreased offset for dirichlet in case things go wrong, makes things less extreme and less prone to breakingmisc to specialmy changesupdating to scipy.special.logsumexpMerge branch 'master' of github.com:mattjj/pybasicbayescleaning up factor analysis model and examplesupdate readme image linksMerge branch 'master' of github.com:mattjj/pybasicbayesadd images for readmerev versionreplacing the resample_nu with a Metropolis-Hastings methodfixing minor bug in robust regression when given empty data listrev version numberMerge branch 'robust_regression'fixing minor scale issue in sampling student t regressionupdating robust regression with MLE for degree of freedom parameterfixing mask bug in factor_analysisfixing sign error in Gaussian VLB, i.e. KL divergence between two NIW distributionsplotting for o2 figures. adding feature for change in o2add color code to state usagemake robustregression _robust_ to nans. har har.working around weird bug with broadcasting over strided arraysadding robust distributions to list of all distributionsfixing bug in resampling. needed to compute scaled statistics using the precisions. as an added benefit, this avoids memory copies, and should make the code a bit faster.adding robust autoregressionadding a robust regression class with multivariate-t distributed noise. no sampling of degrees of freedom yet.Merge branch 'master' of github.com:mattjj/pybasicbayes