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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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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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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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High-Dimensional Covariance Matrix Estimation

that better fits the big data context. It draws attention to the deficiencies of standard statistical tools when used in the high-dimensional;

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High Dimensional Econometrics and Identification

exception. One of the tools to analyze large, high-dimensional data is the panel data model.High-Dimensional Econometrics and Identification grew;

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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 Covariance Estimation

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

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Shrinkage Estimation for Mean and Covariance Matrices

, thus yielding a unified approach to both high- and low-dimensional shrinkage estimations. The unified shrinkage approach not only integrates;

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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 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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Introduction to High-Dimensional Statistics

Revised chapters from the previous edition, with the inclusion of many additional materials on some ;...

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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

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

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An Invitation to Statistics in Wasserstein Space

introduction to the fundamentals of this current topic, as well as an overview that will serve as an invitation and catalyst for further research;

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Introduction To The Mathematical Theory Of Vibrations Of Elastic Plates, An - By R D Mindlin

This book by the late R D Mindlin is destined to become a classic introduction to the mathematical aspects of two-dimensional theories;

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Introduction to Mathematical Statistics and Its Applications, An

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to;

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An Introduction to Bayesian Analysis

at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to;

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Functional and Operatorial Statistics

An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies;

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Functional and Operatorial Statistics

An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies;

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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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Mechanics Of Piezoelectric Structures, The

A continuation of the author's previous book An Introduction to the Theory of Piezoelectricity (Springer, New York, 2005) on the three;

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Handbook of Big Data Analytics

prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs;

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