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Inference for Functional Data with Applications

This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis;

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Gaussian Process Regression Analysis for Functional Data

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;

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Inference for Heavy-Tailed Data

scattered in different statistics journals. Inference for Heavy-Tailed Data Analysis puts these methods into a single place with a clear picture on;

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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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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Statistical Inference for Engineers and Data Scientists

in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Learning Functional Data Structures and Algorithms

Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book;

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Information Theory, Inference and Learning Algorithms

coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Missing Data in Longitudinal Studies

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for;

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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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Digital Signal Processing (DSP) with Python Programming

of data processing. Besides that, methods of Monte Carlo type have become an essential tool to assess performance. For pedagogical purposes the;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big;

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Multivariate Statistical Inference And Applications

is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no;

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Functional Data Structures in R

Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book;

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RxJS in Action

system for JavaScript. RxJS is ideal for applications with features that have continuous data flows that have to fetch and combine;

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Introduction to Functional Data Analysis

in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who;

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Introduction to Functional Data Analysis

functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth;

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Economic Modeling and Inference

Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest;

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Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation;

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Statistical Factor Analysis And Related Methods

of data including time series, spatial data, rank orders, and nominal variable* Applications of factor models to the estimation of functional;

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Functional Data Analysis with R and MATLAB

The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such;

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An Introduction to Statistical Inference and Its Applications with R

of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and;

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An Introduction to Statistical Inference and Its Applications with R

of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and;

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