A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Ren? Carmona; Fran?ois Delarue Название: Probabilistic Theory of Mean Field Games with Applications II ISBN: 3319564358 ISBN-13(EAN): 9783319564357 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.
Автор: Ren? Carmona; Fran?ois Delarue Название: Probabilistic Theory of Mean Field Games with Applications I ISBN: 3319564374 ISBN-13(EAN): 9783319564371 Издательство: Springer Рейтинг: Цена: 129970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.
Автор: Ren? Carmona; Fran?ois Delarue Название: Probabilistic Theory of Mean Field Games with Applications I ISBN: 3030132609 ISBN-13(EAN): 9783030132606 Издательство: Springer Рейтинг: Цена: 129970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications.
Автор: Narens Louis Название: Probabilistic Lattices: With Applications To Psychology ISBN: 9814630411 ISBN-13(EAN): 9789814630412 Издательство: World Scientific Publishing Рейтинг: Цена: 83430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
There are many books on lattice theory in the field, but none interfaces with the foundations of probability. This book does. It also develops new probability theories with rigorous foundations for decision theory and applies them to specific well-known problematic examples. There is only one other book that attempts this. It uses quantum probability theory from physics. The new probability theories developed in this book are different; they are not borrowed from physics but are explicitly designed for decision theory.
Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry Название: Probabilistic and Stochastic Methods in Analysis, with Applications ISBN: 0792318048 ISBN-13(EAN): 9780792318040 Издательство: Springer Рейтинг: Цена: 437900.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains three expositions on wavelets, frames and their applications. This book includes the relation between probability and partial differential equations, including probabilistic representations of solutions to elliptic and parabolic PDEs.
Автор: Gheorghe Constantin; Ioana Istratescu Название: Elements of Probabilistic Analysis with Applications ISBN: 9027728380 ISBN-13(EAN): 9789027728388 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry Название: Probabilistic and Stochastic Methods in Analysis, with Applications ISBN: 9401052395 ISBN-13(EAN): 9789401052399 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Italy, July 14-27, 1991
Автор: Koller Daphne, Friedman Nir Название: Probabilistic Graphical Models: Principles and Techniques ISBN: 0262013193 ISBN-13(EAN): 9780262013192 Издательство: MIT Press Рейтинг: Цена: 141070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.
Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Автор: Poul Henrik Damgaard; H. H?ffel; A. Rosenblum Название: Probabilistic Methods in Quantum Field Theory and Quantum Gravity ISBN: 1461366860 ISBN-13(EAN): 9781461366867 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of a NATO ARW held in Cargese, France, August 21-27, 1989
Автор: Thomas-Paul Hack Название: Cosmological Applications of Algebraic Quantum Field Theory in Curved Spacetimes ISBN: 331921893X ISBN-13(EAN): 9783319218939 Издательство: Springer Рейтинг: Цена: 43530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a largely self-contained and broadly accessible exposition on two cosmological applications of algebraic quantum field theory (QFT) in curved spacetime: a fundamental analysis of the cosmological evolution according to the Standard Model of Cosmology;
Автор: Ramachandran, Kandethody M. Tsokos, Chris P. Название: Stochastic differential games. theory and applications ISBN: 9462390479 ISBN-13(EAN): 9789462390478 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The subject theory is important in finance, economics, investment strategies, health sciences, environment, industrial engineering, etc.
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