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Statistical Inference from High Dimensional Data

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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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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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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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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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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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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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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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Statistical Inference via Convex Optimization

This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an;

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Refining the Concept of Scientific Inference When Working with Big Data

technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that;

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Aspects of Statistical Inference

draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate;

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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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An Introduction to Bayesian Analysis

-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high;

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Statistical Optimization for Geometric Computation

This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from;

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Principles and Methods for Data Science

Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics;

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Modern Directional Statistics

statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics;

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Modern Directional Statistics

statistical techniques, and to technological advances. This book covers important progresses in distribution theory,high-dimensional statistics;

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Handbook of Econometrics

inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying;

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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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Gaussian Process Regression Analysis for Functional Data

methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression;

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Bayesian Inference for Gene Expression and Proteomics

data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high;

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Bayesian Inference For Gene Expression And Proteomics

data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high;

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Bayesian Modeling in Bioinformatics

Bayesian kernel machines, and QTL mapping. Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume;

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Bayesian Modeling in Bioinformatics

Bayesian kernel machines, and QTL mapping. Focusing on design, statistical inference, and data analysis from a Bayesian perspective, this volume;

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Inference for Heavy-Tailed Data

Heavy tailed data appears frequently in social science, internet traffic, insurance and finance. Statistical inference has been studied;

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