Probability and statistics

This guide offers a clear step-by-step approach for graduate students and early-career researchers, especially non-native English speakers, seeking to publish in international journals in the social sciences.

This book constitutes revised papers from the International Workshops held at the 22nd International Conference on Business Process Management, BPM 2024, in Krakow, Poland, during September 2024.

This book offers the first comprehensive analysis of long COVID fatigue using advanced neuroimaging and artificial intelligence (AI).

Designed as a self-contained text, this book covers a wide spectrum of topics on portfolio theory.

The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration.

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.

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 develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance.

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), held in Bari, Italy, on June 17-20, 2024.

This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization.

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

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analysis and Application in Modeling (CMAAM-2023), held at the Department of Mathematics & the Center for Mathematical Biology and Ecology, Jadavpur University, Kolkata, West Bengal, India, from 9-11 October 2023.

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under uncertainty.

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”, SIS 2025, held in Genoa, Italy, June 16-18, 2025.

This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving.

This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python.

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis.

This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the interface between probability and functional analysis.

This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving.

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

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

This book examines statistical models for frequency data.

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008.

This book presents a comprehensive, innovative, integrated, and empirically effective system for cross-sectionally analyzing prices of government bonds (GBs) and corporate bonds (CBs) to timely obtain practically useful information on yield curves and default curves.

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

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4-9, 2023.

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4-9, 2023.

This book is devoted to real analysis methods for the problem of constructing Markov processes with boundary conditions in probability theory.

This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT).

How can we teach machine learning to identify causal patterns in data?

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.

This volume on the latest developments in statistical modelling is a collection of refereed papers presented at the 38th International Workshop on Statistical Modelling, IWSM 2024, held from 14 to 19 July 2024 in Durham, UK.

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data.

This 2nd edition of the book focuses on the properties of stationary states in chaotic systems of particles or fluids, setting aside the theory of how these states are achieved.

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analysis and Application in Modeling (CMAAM-2023), held at the Department of Mathematics & the Center for Mathematical Biology and Ecology, Jadavpur University, Kolkata, West Bengal, India, from 9-11 October 2023.

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data.

This volume honors the life and legacy of renowned economist and econometrician Marc Nerlove, who passed away in July 2024.

This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models.

This book presents a comprehensive, innovative, integrated, and empirically effective system for cross-sectionally analyzing prices of government bonds (GBs) and corporate bonds (CBs) to timely obtain practically useful information on yield curves and default curves.

This book offers the first comprehensive analysis of long COVID fatigue using advanced neuroimaging and artificial intelligence (AI).

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15–19, 2024.

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.

Thistimely text presents a comprehensive guide to genetic association, a new andrapidly expanding field that aims to elucidate how our genetic code (genotypes)influences the traits we possess (phenotypes).

This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into.