Probability and statistics

This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges.

This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges.

This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography.

This book integrates the fundamentals of asymmetric multidimensional scaling, spectral graph theory, graph embedding theory, and various dynamical systems theories, that deal with the static and dynamic aspects of asymmetric phenomena.

This book integrates the fundamentals of asymmetric multidimensional scaling, spectral graph theory, graph embedding theory, and various dynamical systems theories, that deal with the static and dynamic aspects of asymmetric phenomena.

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces.

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces.

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023).

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023).

This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2-4, 2024.

This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2-4, 2024.

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession.

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession.

This book provides a novel perspective on human migration dynamics by examining it through the lenses of complex systems science and philosophy of science.

This important new book presents an introduction to Environmental Neuroscience, an emerging field devoted to the study of brain-mediated bidirectional relationships between organisms and their physical environments.

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications.

The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024.

This important new book presents an introduction to Environmental Neuroscience, an emerging field devoted to the study of brain-mediated bidirectional relationships between organisms and their physical environments.

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation.

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation.

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles.

This up-to-date overview of Bayesian nonparametric statistics provides both an introduction to the field and coverage of recent research topics, including deep neural networks, high-dimensional models and multiple testing, Bernstein-von Mises theorems and variational Bayes approximations, many of which have previously only been accessible through research articles.

This book constitutes the refereed proceedings of the 17th International Conference on Simulation of Adaptive Behavior, SAB 2024, held in Irvine, CA, USA, during September 9-12, 2024.

This book constitutes the refereed proceedings of the 17th International Conference on Simulation of Adaptive Behavior, SAB 2024, held in Irvine, CA, USA, during September 9-12, 2024.

The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis.

The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis.

This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data.

This book focuses exclusively on the domain of parametric inference and that, too, from a reader's perspective, i.

This book explores multiple types of innovation within the modern wine industry and how it has developed historically.

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.

This book focuses exclusively on the domain of parametric inference and that, too, from a reader's perspective, i.

This monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields.

This monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields.

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments.

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments.

This book addresses the challenge of presenting biostatistics to medical and health science audiences coherently.

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024.

Radio astronomy is irreversibly moving towards the exabyte era.

This book is a comprehensive guide to pseudo-Hermitian random matrices, their properties, and their role in many models that are relevant to physical processes.

This book is a comprehensive guide to pseudo-Hermitian random matrices, their properties, and their role in many models that are relevant to physical processes.

In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data.

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results.

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results.

Monte Carlo Methods are among the most used, and useful, computational tools available today.

This book delves into contemporary business analytics techniques across sectors for critical decision-making.

This book delves into contemporary business analytics techniques across sectors for critical decision-making.

This book delves into a rigorous mathematical exploration of the well-posedness and long-time behavior of weak solutions to nonlinear Fokker-Planck equations, along with their implications in the theory of probabilistically weak solutions to McKean-Vlasov stochastic differential equations and the corresponding nonlinear Markov processes.

This book delves into a rigorous mathematical exploration of the well-posedness and long-time behavior of weak solutions to nonlinear Fokker-Planck equations, along with their implications in the theory of probabilistically weak solutions to McKean-Vlasov stochastic differential equations and the corresponding nonlinear Markov processes.

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022.