Probability & Statistics

Art, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who...

This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and oth...

In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or ...

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to ...

This book is the seventh of 15 related monographs, concerns nonlinear dynamics and singularity of cubic dynamical systems possessing a product-cubi...

We call peacock an integrable process which is increasing in the convex order; such a notion plays an important role in Mathematical Finance. A dee...

The concept of Wiener chaos generalizes to an infinite-dimensional setting the properties of orthogonal polynomials associated with probability di...

Es gibt nur wenige Konzepte und Methoden, die so mächtig, aber auch so gefährlich und so oft unverstanden sind wie statistische Fachbegriffe und Ve...

Fractional Brownian motion (fBm) is a stochastic process which deviates significantly from Brownian motion and semimartingales, and others classica...

A Waterstones Best Popular Science Book of 2023'Delightfully clear and vivid to read...A splendid book! Philip Pullman'Absolutely fascinating' Jame...

A Waterstones Best Popular Science Book of 2023'Delightfully clear and vivid to read...A splendid book! Philip Pullman'Absolutely fascinating' Jame...

This book offers accessible probabilistic modelling of relevant financial problems. It is divided into two parts. The first part (cookbook) is writ...

This book offers accessible probabilistic modelling of relevant financial problems. It is divided into two parts. The first part (cookbook) is writ...

The primary focus of the book is to explore the asymptotic behavior of problems formulated within cylindrical structures. Various physical applicat...

Three paradigms have dominated machine translation (MT)rule-based machine translation (RBMT), statistical machine translation (SMT), and example-ba...

This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engi...

Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions unde...

This textbook presents an overview of the field of demography from a contemporary perspective. Designed as an introductory text for undergraduates ...

Discover the impact statistics has on your life and make better decisions when faced with uncertainty. Utts's SEEING THROUGH STATISTICS, 5th Editio...

This textbook covers the latest advances in machine-learning methods for asset management and asset pricing. Recent research in deep learning appli...

Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use o...

This text presents the two complementary aspects of thermal physics as an integrated theory of the properties of matter. Conceptual understanding i...

The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the underg...

This book provides a comprehensive presentation of a recently introduced framework, named probabilistic indexing (PrIx), for searching text in larg...