Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Likelihood-Free Methods for Cognitive Science, James J. Palestro; Per B. Sederberg; Adam F. Osth;


Варианты приобретения
Цена: 12577.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: James J. Palestro; Per B. Sederberg; Adam F. Osth;
Название:  Likelihood-Free Methods for Cognitive Science
ISBN: 9783319724249
Издательство: Springer
Классификация:



ISBN-10: 331972424X
Обложка/Формат: Hardcover
Страницы: 129
Вес: 0.43 кг.
Дата издания: 2018
Серия: Computational Approaches to Cognition and Perception
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 7 illustrations, color; 20 illustrations, black and white; xiv, 129 p. 27 illus., 7 illus. in color.
Размер: 234 x 156 x 10
Читательская аудитория: General (us: trade)
Основная тема: Psychology
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:
This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science. 


Дополнительное описание: Chapter 1. Motivation.- Chapter 2. Likelihood-Free Algorithms.- Chapter 3. A Tutorial.- Chapter 4. Validations.- Chapter 5. Applications.- Chapter 6. Conclusions.- Chapter 7. Distributions.



Maximum Penalized Likelihood Estimation

Автор: P.P.B. Eggermont; V.N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 1441929282 ISBN-13(EAN): 9781441929280
Издательство: Springer
Рейтинг:
Цена: 25853.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints.

Likelihood-Free Methods for Cognitive Science

Автор: James J. Palestro; Per B. Sederberg; Adam F. Osth;
Название: Likelihood-Free Methods for Cognitive Science
ISBN: 3319891812 ISBN-13(EAN): 9783319891811
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science. 

Tools for Statistical Inference

Автор: Martin A. Tanner
Название: Tools for Statistical Inference
ISBN: 0387946888 ISBN-13(EAN): 9780387946887
Издательство: Springer
Рейтинг:
Цена: 13969.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. The third edition expands the discussion of many of the techniques discussed, includes additional examples, and adds exercise sets at the end of each chapter.

Empirical Likelihood

Автор: Owen
Название: Empirical Likelihood
ISBN: 1584880716 ISBN-13(EAN): 9781584880714
Издательство: Taylor&Francis
Рейтинг:
Цена: 20671.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Applies empirical likelihood method to problems ranging from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data.

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Автор: Daniel Sorensen; Daniel Gianola
Название: Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
ISBN: 1441929975 ISBN-13(EAN): 9781441929976
Издательство: Springer
Рейтинг:
Цена: 26120.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits.

Empirical Likelihood Methods in Biomedicine and Health

Автор: Vexler, Albert
Название: Empirical Likelihood Methods in Biomedicine and Health
ISBN: 1032401818 ISBN-13(EAN): 9781032401812
Издательство: Taylor&Francis
Рейтинг:
Цена: 7348.00 р.
Наличие на складе: Поставка под заказ.

Generalized Linear Models with Random Effects

Автор: Lee, Youngjo (Seoul National University, South Korea) Nelder, John A. Pawitan, Yudi (Karolinska Institute, Stockholm, Sweden)
Название: Generalized Linear Models with Random Effects
ISBN: 1032096632 ISBN-13(EAN): 9781032096636
Издательство: Taylor&Francis
Рейтинг:
Цена: 7501.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in var

Meta-analysis of Binary Data Using Profile Likelihood

Автор: Bohning, Dankmar
Название: Meta-analysis of Binary Data Using Profile Likelihood
ISBN: 1584886307 ISBN-13(EAN): 9781584886303
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
Наличие на складе: Поставка под заказ.

Advanced applications in remote sensing of agricultural crops and natural vegetation

Автор: Klima, Richard (appalachian State University, Boone, North Carolina, Usa) Klima, Richard E. (appalachian State University, Boone, North Carolina, Usa)
Название: Advanced applications in remote sensing of agricultural crops and natural vegetation
ISBN: 1032478004 ISBN-13(EAN): 9781032478005
Издательство: Taylor&Francis
Рейтинг:
Цена: 6583.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm.

In all likelihood

Автор: Pawitan, Yudi (professor Of Statistics, Department Of Statistics, National University Of Ireland, Cork)
Название: In all likelihood
ISBN: 0199671222 ISBN-13(EAN): 9780199671229
Издательство: Oxford Academ
Рейтинг:
Цена: 9504.00 р.
Наличие на складе: Поставка под заказ.

Maximum Likelihood Estimation for Sample Surveys

Автор: Chambers, Raymond L.
Название: Maximum Likelihood Estimation for Sample Surveys
ISBN: 1584886323 ISBN-13(EAN): 9781584886327
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Maximum Penalized Likelihood Estimation

Автор: Paul P. Eggermont; Vincent N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 1461417120 ISBN-13(EAN): 9781461417125
Издательство: Springer
Рейтинг:
Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Ideal for researchers and practitioners in statistics and industrial mathematics, this book covers the theory and practice of nonparametric estimation. It is novel in its use of maximum penalized likelihood estimation and convex minimization problem theory.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия