estimator_variance

Monte Carlo methods 2014-11-16 – 2023-08-26

Monte Carlo gradient estimation 2020-09-30 – 2023-05-02

Bayesian posterior inference via optimisation Conditioning by gradient 2020-08-17 – 2023-04-28

Data summarization On maps drawn at smaller than 1:1 scale 2019-01-14 – 2023-04-27

Leakage in predictive models 2016-09-05 – 2023-04-12

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

Generic variance reduction in Monte Carlo samplers 2022-08-25

Markov Chain Monte Carlo methods 2017-08-28 – 2022-06-08

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

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

Markov Chain Monte Carlo methods 2020-06-28 – 2020-10-28

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

Monte Carlo optimisation 2020-09-30

Adaptive Markov Chain Monte Carlo samplers 2020-04-28 – 2020-04-30

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

The cross entropy method 2020-04-24

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

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

Rare-event-conditional estimation 2017-05-29 – 2017-11-10

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