Probability and statistics

This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022.

This book introduces some recent developments in Bayesian real-time system identification.

This book explains the importance of using the probability that the hypothesis is correct (PHC), an intuitive measure that anyone can understand, as an alternative to the p-value.

This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples.

This textbook presents an introduction to the mathematical foundations of software engineering.

This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples.

This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference.

This volume provides a comprehensive survey that covers various modern methods used for detecting and estimating change points in time series and their models.

This revised edition offers an approach to information theory that is more general than the classical approach of Shannon.

This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimensional stochastic Hamiltonian systems.

This book is a rigorous but practical presentation of the Bayesian techniques of uncertainty quantification, with applications in R.

This book publishes select papers presented at the 4th International Conference on Frontiers in Industrial and Applied Mathematics (FIAM-2021), held at the Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India, from 21-22 December 2021.

This book provides a self-contained introduction of mixed-effects models and small area estimation techniques.

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

This book mainly focuses on the sampled-data control of logical networks.

This book constitutes the refereed proceedings of the 20th European Workshop on Computer Performance Engineering, EPEW 2024, held in Venice, Italy, on June 14, 2024.

This book provides empirical applications of macroeconometric methods through discussions on  key issues in the  Indian economy.

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 treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for estimating model parameters and forecasting the volatility and quantiles of financial asset returns.

This book provides an introduction to computer-based methods for the analysis of genomic data.

This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution.

This book is an introduction to the theory of causal inference in observational studies.

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology.

This book presents recent non-asymptotic results for approximations in multivariate statistical analysis.

This book is a collection of original research and survey articles on mathematical inequalities and their numerous applications in diverse areas of mathematics and engineering.

This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the theory of cubature formulas in numerical analysis.

This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems.

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019.

This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the estimable parameter.

This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal distribution models.

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19.

This book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021.

This book provides a comprehensive content for professionals engaged in the development of flight safety regulatory framework, as well as in the design and operation of ground-based or on-board flight support radio electronic systems.

This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata.

This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution inclusions, together with its relevant applications in control problems and partial differential equations.

The book comprises three chapters, with each chapter assigned various type data such as time series data, cross sectional data and panel data.

This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field.

Charles M.

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises.

This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences.

This book is an easy-to-read reference providing a link between functional analysis and diffusion processes.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia.

This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.

This book gathers selected science and technology papers presented at the 2018 International Conference on Science Technology and Social Sciences (ICSTSS 2018), organised bi-annually by Universiti Teknologi MARA Pahang, Malaysia.

This volume constitutes the papers of the 3rd International Workshop on Active Inference, IWAI 2022, held in Grenoble, France, in conjunction with ECML/PKDD, on September 19, 2022.

This book constitutes the refereed proceedings of the 21st International Conference on Information Technologies and Mathematical Modelling.

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference.

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference.

Forecasting from multi-equation models has very rarely been the focus in econometric literature.