Probability and statistics

This volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability.

Nanohertz Gravitational Wave Astronomy explores the exciting hunt for low frequency gravitational waves by using the extraordinary timing precision of pulsars.

This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators.

This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics.

INLA stands for Integrated Nested Laplace Approximations, which is a new method for fitting a broad class of Bayesian regression models.

Biostatistics is one of the scientific fields for which the recent developments have been extremely important.

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics.

Dieses Arbeitsbuch ergänzt perfekt das Lehrbuch Fahrmeir/Künstler/Pigeot/Tutz: Statistik - Der Weg zur Datenanalyse.

Computational techniques based on simulation have now become an essential part of the statistician's toolbox.

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data.

​Angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer helfen, nicht direkt messbare Grössen zu bestimmen und Prognosen zu zukünftigen Werten von unsicheren Grössen zu berechnen.

This book is about building platforms for pandemic prediction.

The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers.

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications.

This book presents a collection of selected papers that represent the current variety of research on the teaching and learning of probability.

Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty.

This upper-level textbook presents a new approach to large scale qualitative analysis - the pioneering breadth-and-depth method.

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory.

This book is devoted to Corrado Gini, father of the Italian statistical school.

This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.

On what grounds can one reasonably expect that a complex financial contract solving a complex real-world issue does not deserve the same thorough scientific treatment as an aeroplane wing or a micro-proces- sor?

Actuarial Models: The Mathematics of Insurance, Second Edition thoroughly covers the basic models of insurance processes.

Linear stochastic systems are successfully used to provide mathematical models for real processes in fields such as aerospace engineering, communications, manufacturing, finance and economy.

This unique book officially defines microbiome statistics as a specific new field of statistics and addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research.

Als Instanzen der Beschreibung moderner Gesellschaften gewinnen die Kulturwissenschaften immer mehr an Bedeutung.

This book provides some recent advance in the study of stochastic nonlinear Schrodinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity.

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This is the first book on the U.

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS , MATLAB , and R throughout This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole.

Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science.

This book offers accessible probabilistic modelling of relevant financial problems.

The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks.

This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.

Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products.

In this volume experts present the latest status of mathematical and statistical methods in use for the analysis and modeling of plant disease epidemics.

This edited collection commemorates the career of Dr.

Keine ausführliche Beschreibung für "Meßstochastik und Störsicherheit" verfügbar.

Collecting information previously scattered throughout the vast literature, including the author's own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems.

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics.

This book introduces physics students to concepts and methods of finance.

Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life.

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.

Disease Modelling and Public Health, Part A, Volume 36 addresses new challenges in existing and emerging diseases with a variety of comprehensive chapters that cover Infectious Disease Modeling, Bayesian Disease Mapping for Public Health, Real time estimation of the case fatality ratio and risk factor of death, Alternative Sampling Designs for Time-To-Event Data with Applications to Biomarker Discovery in Alzheimer's Disease, Dynamic risk prediction for cardiovascular disease: An illustration using the ARIC Study, Theoretical advances in type 2 diabetes, Finite Mixture Models in Biostatistics, and Models of Individual and Collective Behavior for Public Health Epidemiology.

Traditionally the Stability seminar, organized in Moscow but held in different locations, has dealt with a spectrum of topics centering around characterization problems and their stability, limit theorems, probabil- ity metrics and theoretical robustness.