activity
20162023
most citedSemi-Supervised linear regression

11 citations · 23 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ME2023★ 2 cited

Incentive-Theoretic Bayesian Inference for Collaborative Science

Stephen Bates, Michael I. Jordan, Michael Sklar +1

Contemporary scientific research is a distributed, collaborative endeavor, carried out by teams of researchers, regulatory institutions, funding agencies, commercial partners, and…

stat.ME2022

Guarantees for Comprehensive Simulation Assessment of Statistical Methods

James Yang, T. Ben Thompson, Michael Sklar

Simulation can evaluate a statistical method for properties such as Type I Error, FDR, or bias on a grid of hypothesized parameter values. But what about the gaps between the grid-…

stat.ME2022★ 1 cited

Adaptive Experiments and a Rigorous Framework for Type I Error Verification and Computational Experiment Design

Michael Sklar

This PhD thesis covers breakthroughs in several areas of adaptive experiment design: (i) (Chapter 2) Novel clinical trial designs and statistical methods in the era of precision me…

cs.GT2022

Principal-Agent Hypothesis Testing

Stephen Bates, Michael I. Jordan, Michael Sklar +1

Consider the relationship between a regulator (the principal) and an experimenter (the agent) such as a pharmaceutical company. The pharmaceutical company wishes to sell a drug for…

stat.ME2020★ 3 cited

Improving the Power of the Randomization Test

Abba M. Krieger, David Azriel, Michael Sklar +1

We consider the problem of evaluating designs for a two-arm randomized experiment with the criterion being the power of the randomization test for the one-sided null hypothesis. Ou…

stat.ME2019★ 6 cited

Optimal Rerandomization via a Criterion that Provides Insurance Against Failed Experiments

Adam Kapelner, Abba M. Krieger, Michael Sklar +1

We present an optimized rerandomization design procedure for a non-sequential treatment-control experiment. Randomized experiments are the gold standard for finding causal effects…

math.ST2016★ 11 cited

Semi-Supervised linear regression

David Azriel, Lawrence D. Brown, Michael Sklar +3

We study a regression problem where for some part of the data we observe both the label variable () and the predictors (), while for other part of the data only the pre…