Description
Back to topRandom permutation, as a particularly interesting type of stochasticity, has been a fundamental object of interest in two branches of statistics: causal inference, which focuses on drawing causal conclusions from randomized and quasi-randomized experiments, and distribution-free methods, which focuses on constructing and studying the stochastic structures of certain functionals of a distribution-free nature. The two fields have each witnessed explosive development in recent years. Notably, as the ideas of randomization, re-randomization, and multiple permutation tests have been booming in causal inference in the last ten years, conformal prediction, knockoffs, rank statistics, graph-based statistics, optimal transport, combinatorial inference, and Stein’s methods have simultaneously received increasing attention in the world of distribution-free methods.
Researchers working in these two areas are now, more than ever, realizing the foundational connection between them: they are faced with similar data analysis challenges and need similar technical tools. This workshop will bring experts from these two distinct worlds together, to communicate, to learn from each other, and to stimulate conversations and collaborations.
Organizers
Back to topSpeakers
Back to topSchedule
Back to topSpeaker: Holger Dette (Ruhr-Universität Bochum)
Speaker: Sam Pimentel (University of California, Berkeley)
Speaker: Lihua Lei (Stanford University)
Speaker: Jingshen Wang (University of California, Berkeley)
Speaker: Anqi Zhao (National University of Singapore)
Speaker: Tirthankar Dasgupta (Rutgers University)
Speaker: Mona Azadkia (ETH Zürich and London School of Economics)
Speaker: EunYi Chung (University of Illinois at Urbana-Champaign)
Speaker: Adrian Roellin (National University of Singapore)
Speaker: Panos Toulis (University of Chicago)
Speaker: Bodhi Sen (Columbia University)
Speaker: Philip Stark (University of California, Berkeley)
Speaker: Colin Fogarty (University of Michigan)
Speaker: Lei Shi (University of California, Berkeley)
Speaker: Nianqiao Phyllis Ju (Purdue University)
Speaker: Lester Mackey (Microsoft New England)
Speaker: Jingshu Wang (University of Chicago)
Speaker: Yaniv Romano (Technion – Israel Institute of Technology)
Speaker: Xinran LI (University of Illinois at Urbana-Champaign)