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Inverse Heat Transfer

of inverse heat transfer protocol, as a parameter estimation approach and as a function estimation approach. These techniques are then applied to the;

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Inverse Problems and High-Dimensional Estimation

by Victor Chernozhukov (Massachusetts Institute of Technology) on High-dimensional Estimation with Applications to Economics . Ten invited;

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Inverse Heat Transfer

, function estimation, and state estimation Applies these inverse techniques to the solution of practical inverse heat transfer problems;

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Inverse Problems in Quantum Scattering Theory

, inverse radial problems at fixed energy, inverse one-dimensional problems, inverse three-dimensional problems, and construction of the scattering;

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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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Discrete Inverse and State Estimation Problems

static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and;

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Discrete Inverse and State Estimation Problems

static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and;

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Linear Inverse Problems

mean automatically takes care of the constraints. It consists of a technique for transforming a large dimensional inverse problem into a small;

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Bayesian Approach to Inverse Problems

problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three;

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Spectral Analysis of Signals

, and can provide high resolution and low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional;

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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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High-Dimensional Covariance Matrix Estimation

estimator and provides a holistic description of its properties under two asymptotic regimes: the traditional one, and the high-dimensional regime;

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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

, it presents recent techniques and results in estimation of mean and covariance matrices with a high-dimensional setting that implies;

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Time Series In High Dimensions

Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides;

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Direct and Inverse Finite-Dimensional Spectral Problems on Graphs

of the methods used. The book also unravels connections between finite dimensional and infinite dimensional spectral problems on graphs, and;

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Direct and Inverse Finite-Dimensional Spectral Problems on Graphs

of the methods used. The book also unravels connections between finite dimensional and infinite dimensional spectral problems on graphs, and;

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Blind Identification and Separation of Complex-valued Signals

Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind;

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Inverse Problem Theory and Methods for Model Parameter Estimation

probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Inverse Problems

This textbook is an introduction to the subject of inverse problems with an emphasis on practical solution methods and applications from;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

distributions on infinite-dimensional spaces. It is also intended for researchers working on inverse problems and uncertainty quantification;

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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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Parameter Estimation and Inverse Problems

Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be;

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Point Sources and Multipoles in Inverse Scattering Theory

, stability, and reconstructions for both two-and three-dimensional problems. With interest in extracting information about an object through;

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Point Sources and Multipoles in Inverse Scattering Theory

, stability, and reconstructions for both two-and three-dimensional problems. With interest in extracting information about an object through;

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High-dimensional Data Analysis

of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high;

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