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Lehmann, E. L., Romano, J. P. (2021)
Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume set. The first volume covers finite-sample theory, while the …
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O'Quigley, J. (2021)
This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics. The framework is that of …
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Kallenberg, O. (2021)
This new, thoroughly revised and expanded 3rd edition of a classic gives a comprehensive coverage of modern probability in a single book. It is a truly modern text, providing not …
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Klein Haneveld, W. K., van der Vlerk, M. H., Romeijnders, W. (2020)
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with …
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Klenke, A. (2020)
This popular textbook, now in a revised and expanded third edition, presents a comprehensive course in modern probability theory. Probability plays an increasingly important role …
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Ökten, G. (2020)
This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure …
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Nolan, J. P. (2020)
This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and statistical methods used to work with stable laws. …
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Koch-Medina, P., Munari, C. (2020)
Arbitrage Theory provides the foundation for the pricing of financial derivatives and has become indispensable in both financial theory and financial practice. This textbook …
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Kulik, R., Soulier, P. (2020)
This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, incorporating the latest research trends alongside …
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Berk, R. A. (2020)
This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the …
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Cufaro Petroni, N. (2020)
This book seeks to bridge the gap between the parlance, the models, and even the notations used by physicists and those used by mathematicians when it comes to the topic of …
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Lewicka, M. (2020)
This graduate textbook provides a detailed introduction to the probabilistic interpretation of nonlinear potential theory, relying on the recently introduced notion of tug-of-war …
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Jahnel, B., König, W. (2020)
Probabilistic modeling and analysis of spatial telecommunication systems have never been more important than they are today. In particular, it is an essential research area for …
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Friz, P. K., Hairer, M. (2020)
With many updates and additional exercises, the second edition of this book continues to provide readers with a gentle introduction to rough path analysis and regularity …
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Brémaud, P. (2020)
This 2nd edition is a thoroughly revised and augmented version of the book with the same title published in 1999. The author begins with the elementary theory of Markov chains and …
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Asmussen, S., Steffensen, M. (2020)
This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both …
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Brémaud, P. (2020)
The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. …
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Christensen, R. (2019)
Now in its third edition, this companion volume to Ronald Christensen’s Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory—best …
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Bas, E. (2019)
This textbook explores probability and stochastic processes at a level that does not require any prior knowledge except basic calculus. It presents the fundamental concepts in a …
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Lakatos, L., Szeidl, L., Telek, M. (2019)
The book is the extended and revised version of the 1st edition and is composed of two main parts: mathematical background and queueing systems with applications. The mathematical …
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