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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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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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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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High-Dimensional Covariance Matrix Estimation

setting, and introduces the basic concepts and major results related to spectral statistics and random matrix theory under high-dimensional;

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Recent Advances in Functional Data Analysis and Related Topics

selected and extended papers presented at the second International Workshop of Functional and Operatorial Statistics (Santander, Spain, 16-18 June;

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Perspectives on Big Data Analysis

methodological developments in high-dimensional statistics dealing with interesting and challenging problems concerning the analysis of complex, high;

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Quantum Probability And Related Topics - Proceedings Of The 32nd Conference

This volume contains the current research in quantum probability, infinite dimensional analysis and related topics. Contributions by;

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Introduction to Ramsey Spaces (AM-174)

-dimensional principles. It is the first book-length treatment of this area of Ramsey theory, and emphasizes applications for related and surrounding;

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Analytical Methods in Statistics

, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.;

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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 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 Covariance Estimation

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

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Wavelets in Functional Data Analysis

meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. 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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Geometric Aspects of Functional Analysis: Israel Seminar (Gafa) 2017-2019 Volume II

order in high dimensions. Central to the text is the study of the Poincare and log-Sobolev functional inequalities, their reverses, and other;

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Geometric Aspects of Functional Analysis: Israel Seminar (Gafa) 2017-2019 Volume I

order in high dimensions. Central to the text is the study of the Poincare and log-Sobolev functional inequalities, their reverses, and other;

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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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Synthesis of Functional Nanomaterials for Electrochemical Energy Storage

of nanomaterials with different dimensions and their applications in electrochemical energy storage. It also discusses the synthesis of functional;

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Synthesis of Functional Nanomaterials for Electrochemical Energy Storage

of nanomaterials with different dimensions and their applications in electrochemical energy storage. It also discusses the synthesis of functional;

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An Invitation to Statistics in Wasserstein Space

dimensional traits of functional data, but are intrinsically nonlinear due to positivity and integrability restrictions. Indeed, their dominating;

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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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Gaussian Measures in Hilbert Space

measure and via a characteristic functional based on Minlos-Sazonov theorem. As such, it can be utilized for obtaining results for topological;

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Random Fields for Spatial Data Modeling

inference, kriging-based prediction) and statistical physics (fractals, Ising model, simulated annealing, maximum entropy, functional integral;

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Big Data in Omics and Imaging, Two Volume Set

high dimensional, multivariate to functional data analysis with next-generation sequencing (NGS) data, and from homogeneous populations to;

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