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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 Econometrics and Identification

recovered even with noisy data in high-dimensional data, e.g., large panels. High-dimensional data in econometrics is the rule rather than the;

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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 Estimation

. High-Dimensional Covariance Estimation features chapters on: * Data, Sparsity, and Regularization * Regularizing the Eigenstructure * Banding;

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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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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 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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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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Perspectives on Big Data Analysis

estimation for an array of interesting models. The book also presents some surprising results on high-dimensional data analysis, especially when;

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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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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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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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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics.;

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Principles and Methods for Data Science

Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics;

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Sufficient Dimension Reduction for the Conditional Kth Moment

The scale and complexity of data sets have increased drastically in the light of development in modern technology. High-dimensional data;

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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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Big Data Application in Power Systems

approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories;

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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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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Analysis Of Multivariate & High Dimensio

methods with small classical data, data from medicine, biology, marketing and finance, high-dimensional data from bioinformatics, functional data;

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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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