Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference

This book PDF is perfect for those who love Mathematics genre, written by Zheng Gao and published by Springer which was released on 08 September 2021 with total hardcover pages 140. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference books below.

Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference
Author : Zheng Gao
File Size : 49,7 Mb
Publisher : Springer
Language : English
Release Date : 08 September 2021
ISBN : 3030809633
Pages : 140 pages
DOWNLOAD

Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference by Zheng Gao Book PDF Summary

This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problems of detection and support estimation for sparse signals observed with noise. Novel phase-transition results are obtained for the signal support estimation problem under a variety of statistical risks. Based on a surprising connection to a concentration of maxima probabilistic phenomenon, the authors obtain a complete characterization of the exact support recovery problem for thresholding estimators under dependent errors.

Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference

This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problems of detection and support estimation for sparse signals observed with noise. Novel phase-transition results are obtained for the signal support estimation problem under a variety of statistical risks. Based on

DOWNLOAD
Concentration of Maxima and Fundamental Limits in High Dimensional Testing and Inference

This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problems of detection and support estimation for sparse signals observed with noise. Novel phase-transition results are obtained for the signal support estimation problem under a variety of statistical risks. Based on

DOWNLOAD
High Dimensional Probability

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

DOWNLOAD
Principles of Statistical Inference

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to

DOWNLOAD
Scientific and Technical Aerospace Reports

Download or read online Scientific and Technical Aerospace Reports written by Anonim, published by Unknown which was released on 1992. Get Scientific and Technical Aerospace Reports Books now! Available in PDF, ePub and Kindle.

DOWNLOAD
An Invitation to Statistics in Wasserstein Space

This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Further to reviewing state-of-the-art aspects, it also provides an accessible introduction to the fundamentals of this current topic, as well

DOWNLOAD
The Sherrington Kirkpatrick Model

The celebrated Parisi solution of the Sherrington-Kirkpatrick model for spin glasses is one of the most important achievements in the field of disordered systems. Over the last three decades, through the efforts of theoretical physicists and mathematicians, the essential aspects of the Parisi solution were clarified and proved mathematically. The

DOWNLOAD
Mathematical Foundations of Infinite Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including mathematical foundations and key decision-theoretic principles.

DOWNLOAD