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Global Well-Posedness of High Dimensional Maxwell-Dirac for Small Critical Data

} (dgeq 4)$ for data with small scale-critical Sobolev norm, as well as modified scattering of the solutions. Main components of the authors;

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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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Motion of a Drop in an Incompressible Fluid

Hanzawa transformations, local well-posedness in the Hoelder and Sobolev-Slobodeckij on L2 spaces is proven as well. Global well-posedness for;

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Relativistic Quantum Mechanics and Field Theory of Arbitrary Spin

redundant components for the particle-antiparticle doublets of arbitrary spin are considered. The comparison with known arbitrary spin equations;

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High-dimensional Data Analysis

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide;

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Hyperboloidal Foliation Method, The

hypersurfaces. This method allows the authors to establish global-in-time existence results for systems of nonlinear wave equations posed on a curved;

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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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Feature Selection for High-Dimensional Data

foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis;

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Sparse representation of High Dimensional Data for Classification

In this book you will find the use of sparse Principal Component Analysis (PCA) for representing high dimensional data for classification;

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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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High-Dimensional Covariance Estimation

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

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Orbiting The Moons Of Pluto

The Maxwell, Einstein, Schroedinger and Dirac equations are considered the most important equations in all of physics. This volume aims to;

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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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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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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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Paul Dirac

Paul Adrien Maurice Dirac was one of the founders of quantum theory. He is numbered alongside Newton, Maxwell and Einstein as one of the;

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Paul Dirac

Paul Adrien Maurice Dirac was one of the founders of quantum theory. He is numbered alongside Newton, Maxwell and Einstein as one of the;

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High-dimensional Microarray Data Analysis

This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them;

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Control Theory of Infinite-Dimensional Systems

This book presents novel results by participants of the conference Control theory of infinite-dimensional systems that took place;

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Thermodynamics and Statistical Mechanics

the relationship between the ensemble theory of classical as well as quantum statistics and thermodynamics, and then obtains Maxwell-Boltzmann;

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Recent Advances in Theory and Methods for the Analysis of High Dimensional and High Frequency Financial Data

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Encyclopedia of Mathematics and its Applications

This volume deals with the Cauchy or initial value problem for linear differential equations. It treats in detail some of the applications;

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Encyclopedia of Mathematics and its Applications

This volume deals with the Cauchy or initial value problem for linear differential equations. It treats in detail some of the applications;

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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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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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DNA Microarrays and Related Genomics Techniques

statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a;

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DNA Microarrays and Related Genomics Techniques

statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a;

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