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 volume contains 30 of David Brillinger's most influential papers.

This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017.

This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

Cataclysmic Variables (CVs) are well furnished laboratories in which one can investigate a number of important physical processes.

Dieses Buch bietet eine einheitliche und geschlossene Darstellung von Theorie und Modellen, die der Zeitreihenanalyse zugrunde liegen.

This book organizes and explains, in a systematic and pedagogically effective manner, recent advances in path integral solution techniques with applications in stochastic engineering dynamics.

The problem of probability interpretation was long overlooked before exploding in the 20th century, when the frequentist and subjectivist schools formalized two conflicting conceptions of probability.

This book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus.

An interdisciplinary framework for learning methodologies covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data.

Intended as a self-contained introduction to measure theory, this textbook also includes a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups.

This book systematically addresses the design and analysis of efficient techniques for independent random sampling.

A new edition of the classic guide to the use of statistics in medicine, featuring examples from articles in the New England Journal of Medicine Medical Uses of Statistics has served as one of the most influential works on the subject for physicians, physicians-in-training, and a myriad of healthcare experts who need a clear idea of the proper application of statistical techniques in clinical studies as well as the implications of their interpretation for clinical practice.

Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view.

This book aims to present a state-of-the-art survey of theories and methods of reliability, maintenance, and warranty with emphasis on multi-unit systems, and to reflect current hot topics: imperfect maintenance, economic dependence, opportunistic maintenance, quasi-renewal processes, warranty with maintenance and economic dependency, and software testing and maintenance.

The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research.

This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP).

"Nichtparametrische Datenanalyse" enthält eine umfassende Darstellung von nichtparametrischen Methoden zur statistischen Modellierung und Auswertung von Experimenten, wobei viele seit langem bekannte Verfahren in einer neuartigen Sichtweise beschrieben werden.

1-systems are a mathematical formalism which was proposed by Aristid 1indenmayer in 1968 as a foundation for an axiomatic theory of develop- ment.

This volume gathers peer-reviewed contributions presented at the 6th International Workshop on Functional and Operatorial Statistics, IWFOS 2025, held in Novara, Italy, June 25-27, 2025.

ten Beispiele und Aufgaben überpriift.

This book presents the state of the art in extreme value theory, with a collection of articles related to a seminal paper on the bivariate extreme value distribution written by Professor Masaaki Sibuya in 1960, demonstrating various developments of the original idea over the last half-century.

lengths, that could not be captured with univariate linear filters.

Focusing on the transnational LGBT movement that has gained unprecedented momentum, this study is a timely contribution to debates both scholarly and popular.

This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy.

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Quantum Interaction, QI 2018, held in Nice, France, in September 2018.

Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts.

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.

Incorporating a number of the author's recent ideas and examples, Dynamic Programming: Foundations and Principles, Second Edition presents a comprehensive and rigorous treatment of dynamic programming.

Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields.

Peter Kall and Janos Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization.

Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems.

This is the first book of two volumes covering the basics of statistical methods and analysis.

Computer science and physics have been closely linked since the birth of modern computing.

This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement.

Between Certainty & Uncertainty"e; is a one-of-a-kind short course on statistics for students, engineers and researchers.

A rigorous introduction to the mathematics of pricing, construction and hedging of derivative securities.

This book is an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools.

Presents elements of clinical trial methods that are essential in planning, designing, conducting, analyzing, and interpreting clinical trials with the goal of improving the evidence derived from these important studies This Third Edition builds on the text s reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials.

The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models.

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology.

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications.

The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively.

An increasing number of statistical problems and methods involve infinite-dimensional aspects.

Recent Advances in Statistical Research and Data Analysis is a collection of papers presented at the symposium of the same name, held in Tokyo by the Center for Information on Statistical Science of the Institute of Statistical Mathematics (ISM).

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series.