General

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Sorry no description is available for this book at this time.

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Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with...

How dangerous is our diet? How much of sports falls into the realm of luck? When authorities categorize a given event as “highly likely”—how likely is that, really? Whether we’re trying to decide if the benefits of a new medication are worth the chance...

Sorry no description is available for this book at this time.

Sorry no description is available for this book at this time.

Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. This book explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge...

This book is a useful overview of results in multivariate probability distributions and multivariate analysis as well as a reference to harmonic analysis on symmetric cones adapted to the needs of researchers in analysis and probability theory.Book...

The De Gruyter Series in Probability and Stochastics is devoted to the publication of high-level monographs and specialized graduate texts in any branch of modern probability theory and stochastics, along with their numerous applications in other parts...

The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and global...

This book covers the basic probability of distributions with an emphasis on applications from the areas of investments, insurance, and engineering. Written by a Fellow of the Casualty Actuarial Society and the Society of Actuaries with many years of...

This book provides a concise account of four components of regression and smoothing methods: linear regression, generalized linear models, spline and kernel methods, and generalized linear mixed models. By bringing together parametric regression and...

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression,...

This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of functions from noisy data on functionals. The simplest example is the estimation of a smooth...

Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes and applies this theory to various special examples. The initial chapter is devoted to the most...

This book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.The reader will also benefit from the...

This volume is a collection of lecture notes for six of the ten courses given in Buzios, Brazil by prominent probabilists at the 2010 Clay Mathematics Institute Summer School, ``Probability and Statistical Physics in Two and More Dimensions'' and at the...

In recent years, statistical mechanics has been increasingly recognized as a central domain of mathematics. Major developments include the Schramm - Loewner evolution, which describes two-dimensional phase transitions, random matrix theory,...

This book gives an exposition of the principal concepts and results related to second order elliptic and parabolic equations for measures, the main examples of which are Fokker-Planck-Kolmogorov equations for stationary and transition probabilities of...

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or...

No detailed description available for "Analytic Methods of Probability Theory".Book InformationISBN 9783112751206Author H.-J. RossbergFormat HardbackPage Count 312Imprint De GruyterPublisher De GruyterWeight(grams) 707g

Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as...

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter...

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance. In addition, non-parametric statistics and vectorial...

This textbook, now in its second revised and extended edition, presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, which is addressed to students of mathematics and to...

Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783112307878Author Yu. V. ProhorovFormat HardbackPage Count 583Imprint De GruyterPublisher De GruyterWeight(grams) 10g

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. Since the text should also be suitable for self-study, excessive...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783112303009Author B. GrigelionisFormat HardbackPage Count 652Imprint De GruyterPublisher De GruyterWeight(grams) 10g

No detailed description available for "Strong Stable Markov Chains".Book InformationISBN 9783110460261Author N. V. KartashovFormat HardbackPage Count 138Imprint De GruyterPublisher De GruyterWeight(grams) 432g

In a certain sense characteristic functions and correlation functions are the same, the common underlying concept is positive definiteness. Many results in probability theory, mathematical statistics and stochastic processes can be derived by using these...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783112307892Author B. GrigelionisFormat HardbackPage Count 622Imprint De GruyterPublisher De GruyterWeight(grams) 10g

This book is a concise introduction to the stochastic calculus of variations for processes with jumps. The author provides many results on this topic in a self-contained way for e.g., stochastic differential equations (SDEs) with jumps. The book also...

No detailed description available for "Random Forests".Book InformationISBN 9789067643146Author Yu. L. PavlovFormat HardbackPage Count 122Imprint VSP International Science PublishersPublisher BrillWeight(grams) 405g

No detailed description available for "Interpretations of Probability".Book InformationISBN 9789067643108Author Andrei KhrennikovFormat HardbackPage Count 228Imprint VSP International Science PublishersPublisher BrillWeight(grams) 576g

Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a...

This book explores four real-world topics through the lens of probability theory. It can be used to supplement a standard text in probability or statistics. Most elementary textbooks present the basic theory and then illustrate the ideas with some neatly...