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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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High-dimensional Data Analysis

-dimensional data analysis to explore key ideas for statistical inference and prediction.It is structured around topics on multiple hypothesis testing;

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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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Statistical Inference via Convex Optimization

accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex;

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An Introduction to Bayesian Inference in Econometrics

coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and;

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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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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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Statistical Inference from 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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Fundamental Statistical Inference

modern approaches. The recent literature on the misuse of hypothesis testing and p-values for model selection is discussed, and emphasis is given;

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Monte Carlo

of options on joint minima and maxima; model calibration in the Monte Carlo framework; and numerical valuation of high-dimensional multivariate;

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Dependence Modeling with Copulas

high-dimensional copula models. He also incorporates results to determine dependence and tail properties of multivariate distributions for;

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Dependence Modeling with Copulas

high-dimensional copula models. He also incorporates results to determine dependence and tail properties of multivariate distributions for;

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Mathematical Statistics

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at;

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High-Throughput Screening Methods in Toxicity Testing

High-throughput assays are part of a paradigm shift, to more cost-effective and reliable methods, in the testing of chemical and drug;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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High-Dimensional Probability

applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;

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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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Optimal Statistical Inference in Financial Engineering

testing hypothesis and discriminant analysis for independent observations. It then explores stochastic processes, many famous time series models;

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The Limits of Inference without Theory

The role of theory in ex ante policy evaluations and the limits that eschewing theory places on inference In this rigorous and well-crafted;

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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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Molecular Epidemiology

, including DNA biosampling methods principles for high-quality genotyping haplotypes biomarkers of exposure and effect exposure assessment;

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Defluoridation- Gift to Mankind

Defluoridation is a prestigious gift to human beings suffering from adverse effects of high concentration of fluoride in water. Fluoride;

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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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Finite Elements Using Maxima

elements, i.e. bars, Euler-Bernoulli and Timoshenko beams as well as their combination to generalized beam elements. Focusing on one-dimensional;

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