Probability and statistics

This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.

This book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems, with a special focus on the emerging properties of heterogeneous agents that cannot be deduced from the characteristics of individual agents.

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes.

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.

This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes.

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.

This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.

This textbook offers a clear, unified introduction to nonequilibrium statistical mechanics.

This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulation software.

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks.

This book addresses the well-known capability and flexibility of classical and constructive semigroups (inherited from algebraic structures), to model, solve problems in extremely diverse situations, and develop interesting new algebraic ideas with many applications and connections to other areas of mathematics (logic, biomathematics, analysis, geometry, etc.

This book addresses the well-known capability and flexibility of classical and constructive semigroups (inherited from algebraic structures), to model, solve problems in extremely diverse situations, and develop interesting new algebraic ideas with many applications and connections to other areas of mathematics (logic, biomathematics, analysis, geometry, etc.

This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs),  along with numerical methods for computing parabolic partial differential equations (PDEs).

This textbook challenges the limitations of traditional rational decision-making, arguing that it often fails to address complex, real-world problems.

This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems.

This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems.

This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs),  along with numerical methods for computing parabolic partial differential equations (PDEs).

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time Series and Forecasting, ITISE 2023, held in Gran Canaria, Spain, July 12-14, 2023.

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time Series and Forecasting, ITISE 2023, held in Gran Canaria, Spain, July 12-14, 2023.

This volume is designed not only as a foundation for mastering modern data analysis but also as a trusted companion for revision and review.

This book delves into the fascinating intersection of video gaming, social dynamics, and affective neuroscience, offering a comprehensive exploration of how gaming impacts the brain, influences social interactions, and shapes emotional experiences.

This book delves into the fascinating intersection of video gaming, social dynamics, and affective neuroscience, offering a comprehensive exploration of how gaming impacts the brain, influences social interactions, and shapes emotional experiences.

This volume is designed not only as a foundation for mastering modern data analysis but also as a trusted companion for revision and review.

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs.

This textbook challenges the limitations of traditional rational decision-making, arguing that it often fails to address complex, real-world problems.

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs.

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively.

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively.

This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography.

This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography.

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Florida Atlantic University in Boca Raton, USA, from March 6th to 10th, 2023.

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis.

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application.

This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization.

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis.

This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization.

This book provides a comprehensive and concise introduction of experiments on contemporary issues of language processing and the brain.

This book provides a comprehensive and concise introduction of experiments on contemporary issues of language processing and the brain.

This textbook provides students with a hands-on introduction to time series analysis.

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the areas of criminology or criminal justice.

his book contains selected, peer-reviewed articles presented at the International Conference on Mathematical Modeling and Modern Applications (M3A_24), held in Istanbul, Türkiye, on June 4–6 2024.

This book provides a novel and unifying perspective on the structural properties of fair solutions in optimization formulations.

This textbook provides students with a hands-on introduction to time series analysis.

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Florida Atlantic University in Boca Raton, USA, from March 6th to 10th, 2023.