Model complexity penalties Information criteria, degrees of freedom etc 2015-04-22 – 2020-06-22

Learning with conservation laws, invariances and symmetries 2020-04-11 – 2020-05-01

Empirical estimation of information Informing yourself from your data how informative your data was 2011-04-19 – 2020-04-28

Model averaging On keeping many incorrect hypotheses and using them all as one goodish one 2017-06-20 – 2020-03-22

Informations Entropies and other measures of surprise 2011-11-25 – 2019-09-10

Bayesian model selection 2017-08-20 – 2019-07-22

Algorithmic statistics 2014-07-25 – 2019-01-15

Data summarization On maps drawn at smaller than 1:1 scale 2019-01-14

Nearly sufficient statistics How about “Sufficient sufficiency”? – is that taken? 2018-03-13 – 2019-01-14

Bayesian sparsity 2019-01-08

Hamiltonian and Langevin Monte Carlo Physics might be on to something 2018-07-31 – 2018-07-12

Post-selection inference Adaptive data analysis without cheating 2017-08-20

Model/hyperparameter selection 2016-04-15 – 2017-08-20

Granger causation/Transfer Entropy 2012-07-26 – 2017-05-04