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Statistics, Society and Environment

This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023. Statisti…

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Statistics for Innovation I

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society's international conference on "Statistics for Innovation&…

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Approximation and Online Algorithms

This book constitutes the refereed proceedings of the 22nd International Workshop on Approximation and Online Algorithms, WAOA 2024, held in Egham, UK, during September 5-6, 2024.The 15 full papers includ…

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Sam Efromovich
Survival Analysis

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status …

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Sebastian Ani¿a, Vincenzo Capasso, Simone Scacchi
Mathematical Modeling and Control in Life and Environmental Sciences

This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences. Emphasizing an approach of learning …

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George J. Knafl
Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

Introduction. - Part I Continuous, Count, and Dichotomous Outcomes. - 2. Standard GEE Modeling of Correlated Univariate Outcomes. - 3. Partially Modified GEE Modeling of Correlated Univariate Outcomes. - …

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Computing Technologies and Applied Mathematics

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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Andrea Bellavia
Statistical Methods for Environmental Mixtures

This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. En…

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

An Introduction to Russo-Seymour-Welsh Theory.- 2. Random Tessellations - An Overview of Models.- 3. Gaussian Fields through Geometrical Properties.- 4. Complex Gaussian Zeros and Eigenvalues.- 5. Point P…

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Methodological and Applied Statistics and Demography III

This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024),…

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

This second edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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Gerhard Tutz
A Short Guide to Item Response Theory Models

Preface.- Introduction.- The Binary Rasch Model.- Extensions of the Rasch Model and Alternative Binary Models.- Ordinal Models.- Extended Ordinal Models Accounting for Response Styles.- The Thresholds Mod…

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Lajos Horváth, Gregory Rice
Change Point Analysis for Time Series

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models. The book primarily focuses on asymptotic the…

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Ronald W. Shonkwiler, Franklin Mendivil
Explorations in Monte Carlo Methods

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems i…

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Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet
Statistical Optimal Transport

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researcher…

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Sören Bartels
Numerical Mathematics 3x9

This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, …

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More UK Success Stories in Industrial Mathematics

This volume highlights successful projects in which academic mathematicians in the United Kingdom got involved with solving problems in industry for which mathematics was essential. It contains a wide ran…

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Mircea D. Grigoriu
Numerical Methods for Extreme Responses of Dynamical Systems

This book constructs input finite dimensional (FD) models that are amendable for numerical calculations and provides accurate representations for responses of dynamical systems to these inputs, i.e., nume…

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