This book demonstrates the application of covariance matrices through cutting-edge models and practical applications, as well as extensions induced by multivariate data and other related subjects.
This book demonstrates the application of covariance matrices through cutting-edge models and practical applications, as well as extensions induced by multivariate data and other related subjects.
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of categorical data.
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of categorical data.
This book constitutes the conference proceedings of the Second International Conference on Computational Intelligence and Network Security, ICCINS 2025 held in Raipur, India, during April 2-4, 2025.
This book constitutes the conference proceedings of the Second International Conference on Computational Intelligence and Network Security, ICCINS 2025 held in Raipur, India, during April 2-4, 2025.
This book constitutes revised selected papers from the 6th International Workshop on Active Inference, IWAI 2025, held in Montreal, Canada, during October 15-17, 2025.
This book constitutes revised selected papers from the 6th International Workshop on Active Inference, IWAI 2025, held in Montreal, Canada, during October 15-17, 2025.
This book presents a broad range of computational techniques based on repeated random sampling, widely known as Monte Carlo methods and sometimes as stochastic simulation.
This volume provides a comprehensive introduction to the principles and practices of experimental design, a cornerstone of empirical research across disciplines.
This volume provides a comprehensive introduction to the principles and practices of experimental design, a cornerstone of empirical research across disciplines.
This book presents a broad range of computational techniques based on repeated random sampling, widely known as Monte Carlo methods and sometimes as stochastic simulation.
Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way.
Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way.
This book provides an introduction to the theory of random beta-type simplices and polytopes, exploring their connections to key research areas in stochastic and convex geometry.
This book provides an introduction to the theory of random beta-type simplices and polytopes, exploring their connections to key research areas in stochastic and convex geometry.
The monograph titled New Methods for Measuring Inequality by Analyzing Assortative Mating offers a comprehensive account of the methods and models proposed in the literature for measuring the degree of sorting into couples with the aim of identifying patterns in inequality.
The monograph titled New Methods for Measuring Inequality by Analyzing Assortative Mating offers a comprehensive account of the methods and models proposed in the literature for measuring the degree of sorting into couples with the aim of identifying patterns in inequality.
This book presents an overview of causal discovery, an emergent field with important developments in the last few years, and multiple applications in several fields.
This book presents an overview of causal discovery, an emergent field with important developments in the last few years, and multiple applications in several fields.
This book constitutes the revised selected papers of the 21st European Workshop on Computer Performance Engineering, EPEW 2025, held in Catania, Italy, on June 26, 2025.
This book constitutes the revised selected papers of the 21st European Workshop on Computer Performance Engineering, EPEW 2025, held in Catania, Italy, on June 26, 2025.
This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data.
This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data.
Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems.
