
titles | abstracts
Naomi Altman | Penn State U Reproducibility, Evidence and Experimental Design
Jim Berger | Duke Four types of frequentism and their interplay with Bayesianism
Peter Bickel | UC Berkeley Independence and functional dependence
Tony Cai | Wharton | U Penn Minimax and Adaptive Estimation under Nonstatistical Constraints
Aurore Delaigle | Uni Melbourne Estimating a Covariance Function from Fragments of Functional Data
Zhou Fan | Yale
Ed George | Wharton U Penn From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction
Christopher Jennison | Bath Sequential and adaptive designs
Tracy Ke | Harvard Optimal Inference for Network Data by Cycle Count Statistics
Thomas Lee | UC Davis Fiducial Made Sexy
Oleg Lepski | Aix-Marseille Univ Minimax estimation of nonlinear functionals
Zongming Ma | Wharton | U Penn
Hans-Georg Mueller | UC Davis Distributional Regression Models
Gourab Mukherjee | USC Improved Nonparametric Empirical Bayes Estimation using Side Information
Alexei Onatskiy | Cambridge Uniform asymptotics for weak and strong factor
Debashis Paul | UC Davis Regularized testing of linear hypotheses in high-dimensional settings
Prathapasinghe Dharmawansa | U of Morotuwa
Nancy Reid | U Toronto Likelihood theory and high-dimensional inference
Marta Sanz Solé | U Barcelona Anisotropic random fields: hitting probabilities
Tselil Schramm | Stanford The computational complexity of spiked matrix models
Sir Bernard Silverman | Nottingham Statistics and The Fight Against Modern Slavery and Human Trafficking
Craig Tracy | UC Davis From Random Matrices to Stochastic Growth Processes
Alexandre Tsybakov | CREST, ENSAE & IP Paris Statistical decisions for variable selection
Matt Wand | U Tech Sydney The generalized linear mixed model leading terms : a Stanford story
Jane-Ling Wang | UC Davis The Trouble with Sparse Functional Data
Bin Yu | UC Berkeley Interpreting Deep Neural Networks towards Trustworthiness
Linda Zhao | Wharton | U Penn “Needles and straw in the haystack” : Detect sparse signals via nonparametric empirical Bayes
Huibin Harry Zhou | Yale Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering