Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete Название: Handbook of spatial statistics ISBN: 1420072870 ISBN-13(EAN): 9781420072877 Издательство: Taylor&Francis Рейтинг: Цена: 103610.00 T Наличие на складе: Есть Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.
Автор: Tvrtko Tadic Название: Time-Like Graphical Models ISBN: 147043685X ISBN-13(EAN): 9781470436858 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 67710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The author studies continuous processes indexed by a special family of graphs. Processes indexed by vertices of graphs are known as probabilistic graphical models. In 2011, Burdzy and Pal proposed a continuous version of graphical models indexed by graphs with an embedded time structure-- so-called time-like graphs. The author extends the notion of time-like graphs and finds properties of processes indexed by them. In particular, the author solves the conjecture of uniqueness of the distribution for the process indexed by graphs with infinite number of vertices.The author provides a new result showing the stochastic heat equation as a limit of the sequence of natural Brownian motions on time-like graphs. In addition, the author's treatment of time-like graphical models reveals connections to Markov random fields, martingales indexed by directed sets and branching Markov processes.
Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson Название: Handbook of Measurement Error Models ISBN: 1138106402 ISBN-13(EAN): 9781138106406 Издательство: Taylor&Francis Рейтинг: Цена: 219470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.
Автор: Sucar Luis Enrique Название: Probabilistic Graphical Models: Principles and Applications ISBN: 3030619451 ISBN-13(EAN): 9783030619459 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Part I: Fundamentals
Introduction
Probability Theory
Graph Theory
Part II: Probabilistic Models
Bayesian Classifiers
Hidden Markov Models
Markov Random Fields
Bayesian Networks: Representation and Inference
Bayesian Networks: Learning
Dynamic and Temporal Bayesian Networks
Part III: Decision Models
Decision Graphs
Markov Decision Processes
Partially Observable Markov Decision Processes
Part IV: Relational, Causal and Deep Models
Relational Probabilistic Graphical Models
Graphical Causal Models
Causal Discovery
Deep Learning and Graphical Models
A: A Python Library for Inference and Learning
Glossary
Index
Автор: Sucar, Luis Enrique Название: Probabilistic graphical models ISBN: 3030619427 ISBN-13(EAN): 9783030619428 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.
The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes.
Topics and features: presents a unified framework encompassing all of the main classes of PGMs; explores the fundamental aspects of representation, inference and learning for each technique; describes the practical application of the different techniques; examines the latest developments in the field, covering multidimensional Bayesian classifiers, relational graphical models and causal models; provides exercises, suggestions for further reading, and ideas for research or programming projects at the end of each chapter; suggests possible course outlines for instructors in the preface.
This classroom-tested work is suitable as a textbook for an advanced undergraduate or a graduate course in probabilistic graphical models for students of computer science, engineering, and physics. Professionals wishing to apply probabilistic graphical models in their own field, or interested in the basis of these techniques, will also find the book to be an invaluable reference.
Автор: Whittaker, Joe Название: Graphical models in applied multivariate statistics ISBN: 0470743662 ISBN-13(EAN): 9780470743669 Издательство: Wiley Рейтинг: Цена: 70700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: - It reveals the interrelationships between multiple variables and features of the underlying conditional independence. - It covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. - Many numerical examples and exercises with solutions are included.
Автор: Heidi H. Andersen; Malene Hojbjerre; Dorte Sorense Название: Linear and Graphical Models ISBN: 0387945210 ISBN-13(EAN): 9780387945217 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides an account of graphical models for multivariate complex normal distributions. Beginning with an introduction to the multivariate complex normal distribution, the authors develop the marginal and conditional distributions of random vectors and matrices. Then they introduce complex MANOVA models and hypothesis testing for these models.
Автор: M.I. Jordan Название: Learning in Graphical Models ISBN: 9401061041 ISBN-13(EAN): 9789401061049 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996
Автор: Roverato Alberto Название: Graphical Models for Categorical Data ISBN: 1108404960 ISBN-13(EAN): 9781108404969 Издательство: Cambridge Academ Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and recent results.
Автор: Radhika Ranjan Roy Название: Handbook of Mobile Ad Hoc Networks for Mobility Models ISBN: 1489979328 ISBN-13(EAN): 9781489979322 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook introduces 40 major mobility models, with numerous associate mobility models to be used in MANET networking environments in the ground, air, space and underwater mobile vehicles and handheld devices. Includes case studies, examples and exercises.
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