Model averaging On keeping many incorrect hypotheses and using them all as one goodish one 2017-06-20 – 2023-07-24
Bayesian model selection by model evidence maximisation Type II maximum likelihood, marginal maximum likelihood, Bayes Occam’s razor 2017-08-20 – 2022-12-22
Random binary vectors The class of distributions that cause you to reinvent Shannon information if you stare at them long enough 2017-02-20 – 2022-03-30
Data dimensionality reduction Wherein I teach myself, amongst other things, feature selection, how a sparse PCA works, and decide where to file multidimensional scaling 2015-03-22 – 2020-09-11
Empirical estimation of information Informing yourself from your data how informative your data was 2011-04-19 – 2020-04-28
Nearly sufficient statistics How about “Sufficient sufficiency”? — is that taken? 2018-03-13 – 2019-01-14