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Tensor Methods in Statistics

A pioneering monograph on tensor methods applied to distributional problems arising in statistics, this work constitutes a valuable;

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Tensor Methods in Statistics

This book provides a systematic development of tensor methods in statistics, beginning with the study of multivariate moments and cumulants;

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Tensor Numerical Methods in Quantum Chemistry

cannot be eliminated by using parallel architectures and high performance computing. The novel tensor numerical methods are based on a smart;

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Tensor Numerical Methods in Scientific Computing

The most difficult computational problems nowadays are those of higher dimensions. This research monograph offers an introduction to tensor;

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Matrix and Tensor Decompositions in Signal Processing

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as;

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Introduction to Tensor Network Methods

problem: it reviews the numerical renormalization group and then focuses on tensor network methods, from basic concepts to gauge invariant ones;

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Tensors for Data Processing

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor;

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

tensor imaging, similarity shape analysis, directional data analysis, and projective shape analysis for machine vision. The book concludes with a;

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

, including diffusion tensor imaging, similarity shape analysis, directional data analysis, and projective shape analysis for machine vision. The book;

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Tensor Spaces and Numerical Tensor Calculus

Special numerical techniques are already needed to deal with n x n matrices for large n. Tensor data are of size n x n x...x n=nd, where nd;

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Mathematical Methods for Geophysics and Space Physics

elements of vector and tensor analysis to ordinary differential equations, special functions, and chaos and fractals. Other topics include integral;

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An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases

, the spotlight is on tensor-product bases, which means that only line elements (in one dimension), quadrilateral elements (in two dimensions;

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An Introduction to Element-Based Galerkin Methods on Tensor-Product Bases

, the spotlight is on tensor-product bases, which means that only line elements (in one dimension), quadrilateral elements (in two dimensions;

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Tensor Computation for Data Analysis

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss;

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New Developments in the Visualization and Processing of Tensor Fields

analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a;

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New Developments in the Visualization and Processing of Tensor Fields

analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a;

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An Introduction to Differential Geometry

A solid introduction to the methods of differential geometry and tensor calculus, this volume is suitable for advanced undergraduate and;

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Applications of Tensor Analysis

explains the fundamental ideas and the notation of tensor theory; covers the geometrical treatment of tensor algebra; introduces the theory of the;

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Semialgebraic Statistics and Latent Tree Models

uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new combinatorial tools to study;

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Semialgebraic Statistics and Latent Tree Models

uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new combinatorial tools to study;

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Introduction To Diffusion Tensor Imaging

The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make;

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Understanding Research Methods and Statistics

This text successfully integrates statistics and research methods, by placing statistics in the cont;...

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Introduction To Statistics And Research Methods

For undergraduate Psychology courses in statistics and research methods. A forward-looking text that;...

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Geometric Science of Information

information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications;

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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that;

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Business Research Methods and Statistics Using SPSS

A simple, logically sequenced guide to research methods and statistics in business based on SPSS;...

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Expansions and Asymptotics for Statistics

Providing a broad toolkit of analytical methods, "Expansions and Asymptotics for Statistics" shows h;...

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