estimator_variance

Langevin dynamcs MCMC 2020-08-17 – 2022-10-01

Bayesian posterior sampling via SGD One of those times when the easy thing can also be the smart thing 2020-08-17 – 2022-09-21

Monte Carlo gradient estimation Especially stochastic automatic differentiation 2020-09-30 – 2022-08-18

Bootstrap Shuffling reality to produce your data 2014-11-26 – 2022-01-27

Monte Carlo methods 2014-11-16 – 2021-09-02

Cross validation 2016-09-05 – 2021-05-13

Log concave distributions associated tools 2017-08-28 – 2021-03-11

Weighted data in statistics 2020-11-04 – 2020-11-06

Sparse model selection 2016-09-05 – 2020-10-02

Data summarization On maps drawn at smaller than 1:1 scale 2019-01-14 – 2020-09-18

Tuning an MCMC sampler 2020-04-30 – 2020-04-30

Sparse regression 2016-06-23 – 2019-10-24

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

Stability (in learning) 2016-05-25 – 2016-10-05