upcoming
past
ASA Conference on Statistical Learning and Data Science , Nov 7, 2024INFORMS 2024 Annual Meeting, Oct 23, 2024
Robustness meets causality: theory and applications , July 22, 2024Workshop on Translational Research on Data Heterogeneity , April 6, 2024MRC Biostat seminar , Nov 14, 2023Statistics Seminar, UGent , Nov 16, 2023
IMS Young Mathematical Scientist Forum , National University of Singapore, Nov 20-23, 2023Statistics Seminar, Technical University of Munich , Dec 6, 2023
Online causal inference seminar , Oct 31, 2023Two factorizations and a density ratio, on `Parameterizing and simulating from causal models’ by Evans and Didelez [Slides] Pacific Causal Inference Conference 2023 . Sept 16-17, 2023.Latent variable justifies the stronger IV bounds Causal Inference & Quantum Foundations Workshop, Perimeter Institute Harnessing Extra Randomness: Reproducibility, Flexibility and Causality .
Statistics, EPFL, Oct 2023
ACMS, University of Notre Dame, Jan 2023
Statistics, UC Riverside, Jan 2023
Data Sciences and Operations, Marshall School, USC, Jan 2023
Statistics, University of Michigan, Jan 2023
Statistics & Operations Research, UNC, Jan 2023
Statistics, Iowa State, Jan 2023
Biostatistics, University of Washington, Jan 2023
Statistics, University of Connecticut, Feb 2023
Statistics, University of Pittsburgh, Feb 2023
Inference for multiple data splitting and exchangeable p-values . CMStatistics 2022 Variable elimination, graph reduction and efficient g-formula . Fellows Seminar, Simons Institute, UC Berkeley Latent variable justifies the stronger IV bounds . Quantum Physics and Statistical Causal Models Workshop, Simons Institute, UC Berkeley Variable elimination, graph reduction and efficient g-formula . Causal Inference Reading Group, UC Berkeley Variable elimination, graph reduction and efficient g-formula . Young Data Science Researcher Seminar, ETH Zurich Variable elimination, graph reduction and efficient g-formula . Biostatistics, UC Berkeley , Feb 7, 2022.Variable elimination and graph reduction: towards an efficient g-formula . CMStatistics 2021 Automated analysis of discrete IV with finite-sample guarantees . The Future of Mendelian Randomization Studies Variable elimination and graph reduction: towards an efficient g-formula for causal DAGs . Statistics Seminar Efficient least squares for estimating total causal effects . Pacific Causal Inference Conference Possible causal effects: enumeration and estimation . UW Statistics Seminar Empirical Bayes for A/B testing and meta-analysis: a spectral approach . UW CSSS Seminar On testing marginal versus conditional independence . UW Causal Working Group