High Dimensional Probability

This book PDF is perfect for those who love Business & Economics genre, written by Roman Vershynin and published by Cambridge University Press which was released on 27 September 2018 with total hardcover pages 296. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related High Dimensional Probability books below.

High Dimensional Probability
Author : Roman Vershynin
File Size : 50,7 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 27 September 2018
ISBN : 9781108415194
Pages : 296 pages
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High Dimensional Probability by Roman Vershynin Book PDF Summary

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

High Dimensional Probability

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

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Introduction to High Dimensional Statistics

Praise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. ... it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. ... recommended to anyone

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High Dimensional Statistics

A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.

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Statistics for High Dimensional Data

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.

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High Dimensional Covariance Estimation

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage

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Uncertainty Analysis with High Dimensional Dependence Modelling

Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In

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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

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High Dimensional Probability

Download or read online High Dimensional Probability written by Evarist Giné, published by IMS which was released on 2006. Get High Dimensional Probability Books now! Available in PDF, ePub and Kindle.

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