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Fundamentals of High Dimensional Statistics

This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented;

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The fundamentals of ultra-high dimensional mosaic FPs

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Large Covariance and Autocovariance Matrices

matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models;

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Large Covariance and Autocovariance Matrices

matrices in high-dimensional models and novel ideas on how to use them for statistical inference in one or more high-dimensional time series models;

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Functional and High-Dimensional Statistics and Related Fields

This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing;

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Fundamentals of Low-Dimensional Carbon Nanomaterials

Symposium C, 'Fundamentals of Low-Dimensional Carbon Nanomaterials', was held November 29-December 3 at the 2010 MRS Fall Meeting in Boston;

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Statistics for High-Dimensional Data

comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This;

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Statistics for High-Dimensional Data

comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This;

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High-Dimensional Covariance Matrix Estimation

estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime;

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High Dimensional Econometrics and Identification

name a few. In this book, High-Dimensional Econometrics and Identification, we illustrate the true signal and, hence, identification can be;

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High-Dimensional Covariance Estimation

environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern;

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Multivariate Statistics

Written by well-known, award-winning authors, this is the first book to focus on high-dimensional data analysis while presenting real-world;

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High-Dimensional Statistics

introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core;

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An Invitation to Statistics in Wasserstein Space

(where the data are functions, thus lying in infinite dimensional Hilbert space) and non-Euclidean statistics (where the data satisfy nonlinear;

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Modern Directional Statistics

statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics;

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Modern Directional Statistics

statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics;

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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;

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High Dimensional Probability III

The title High Dimensional Probability is used to describe the many tributaries of research on Gaussian processes and probability in Banach;

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Fundamentals of Three Dimensional Descriptive Geometry

A complete overview of the fundamentals of three-dimensional descriptive geometry From an overview of the history of descriptive;

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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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Perspectives on Big Data Analysis

This volume contains the proceedings of the International Workshop on Perspectives on High-dimensional Data Analysis II, held May 30-June 1;

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional;

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Application Of Dimensional Analysis In Systems Modeling And

Dimensional analysis is an engineering tool that is widely applied to numerous engineering problems, but has only recently been applied to;

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Shrinkage Estimation for Mean and Covariance Matrices

, it presents recent techniques and results in estimation of mean and covariance matrices with a high-dimensional setting that implies;

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Fundamentals of Statistics

For courses in Introductory Statistics. Helping today's students think statistically Funda;...

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Functional and Operatorial Statistics

high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data;

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Functional and Operatorial Statistics

high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data;

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