2017 - 2018

Tiancha Qian - Deductive Estimation: Towards Automated Semiparametric Estimation Maxime Richard - Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling

John O'Leary - Unbiased Markov chain Monte Carlo with couplings Zach Branson - Is My Matched Dataset As-If Randomized, More, or Less?

Guillaume Basse - Estimation and Testing in Two-Stage Randomized Designs with Interference Masatoshi Uehara - Analysis of noise contrastive estimation from the perspective of asymptotic variance

Iavor Bojinov: Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading Jie Ding: Bridging AIC and BIC: a new information criterion towards optimal prediction

Big Data Inference: Combining Hierarchical Bayes and Machine Learning to Improve Photometric Redshifts for Hyper Suprime Cam