Some themes in high-dimensional statistics

Abstract

The symposium covered a broad spectrum of themes on High- Dimensional Statistics. We present here a short overview of some of the topics discussed at the symposium: high-dimensional inference in regression, highdimensional causal inference, Bayesian variable selection for high-dimensional analysis, and integration of multiple high-dimensional data, but this categorization is not exhaustive. The contributions by some of the participants, appearing as chapters in the book, include both in-depth reviews and development of new statistical methodology, applications and theory.