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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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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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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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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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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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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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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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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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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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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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Separating Information Maximum Likelihood Method for High-Frequency Financial Data

econometrics. Considerable interest has been given to the estimation problem of integrated volatility and covariance by using high-frequency financial;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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Asymptotic Theory for Econometricians

/>* Central limit theory * Asymptotically efficient instrumental variables estimation* Estimation of asymptotic covariance matrices

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Random Fields Estimation

This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No;

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Transient Hydraulic Tomography and Tracer Tomography

tomography to estimate three dimensional hydraulic conductivity and specific storage fields. We first analyzed the cross correlation between;

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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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Functional and High-Dimensional Statistics and Related Fields

, depth, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Nonparametric Function Estimation, Modeling, and Simulation

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory;

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Underwater Vehicles Design and Applications

This book first explores the application of the adaptive Kalman filter algorithm to the estimation of high speed autonomous underwater;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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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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Estimation, Inference and Specification Analysis

of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Multi-View Geometry Based Visual Perception and Control of Robotic Systems

geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to;

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