Gaussian process regression And classification. And extensions. 2019-12-03 – 2020-09-21

Non-Gaussian Bayesian functional regression 2019-10-10 – 2020-09-16

Gaussian process quantile regression 2020-09-16

Boosting, bagging and other weak-learner ensemble methods A selection of randomly stopped clocks is never far from wrong 2015-09-23 – 2020-06-07

Long memory time series 0001-01-01 – 2020-05-28

Forecasting Haruspicy 2.0 2015-06-16 – 2020-05-21

Post stratification Making the optimal lemonade from the fruit life gave you 2020-04-22

Survey modelling Adjusting for the Lizardman constant 2019-08-29 – 2020-04-21

Applied psephology 2016-07-12 – 2020-01-20

Gaussian processes 2016-08-07 – 2019-12-03

Sparse coding How to make big things out of lists of small things. 2014-11-17 – 2019-11-05

Delays and reverbs for audio processing …ing …ing …ing 2015-11-11 – 2019-10-22

Statistical learning theory for time series 2016-11-03 – 2019-10-01

Models for count data 2015-05-14 – 2019-09-22

Covariance estimation for stochastic processes 2014-11-16 – 2019-09-21

Hierarchical models DAGs, multilevel models, random coefficient models, mixed effect models… 2015-06-07 – 2019-08-19

(Weighted) least squares fits 2016-09-22 – 2019-05-22

Wacky regression 2015-09-23 – 2019-05-02

Feedback system identification, linear 2016-07-27 – 2018-10-23

Feedback system identification, not necessarily linear 2016-08-01 – 2018-01-03

Marketing psychology 2017-04-27 – 2017-05-29

Generalised linear models 2016-03-24 – 2016-08-31

Count time series models 2015-06-03 – 2015-12-09

High frequency time series estimation 2016-06-12 – 2015-12-02

Sparse regression for inhomogeneous Hawkes processes My MSc thesis with Professors Didier Sornette and Sara van de Geer 2015-04-28 – 2015-05-12