Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7 707 857-29-98
  +7(7172) 65-23-70
  10:00-18:00 пн-пт
  shop@logobook.kz
   
    Поиск книг                        
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Бестселлеры | |
 

Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo, L. Bauwens


Варианты приобретения
Цена: 102480.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 272 шт.  
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: L. Bauwens
Название:  Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo
ISBN: 9783540133841
Издательство: Springer
Классификация:

ISBN-10: 3540133844
Обложка/Формат: Paperback
Страницы: 114
Вес: 0.22 кг.
Дата издания: 01.09.1984
Серия: Lecture Notes in Economics and Mathematical Systems
Язык: English
Размер: 244 x 170 x 7
Основная тема: Economics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: In their review of the Bayesian analysis of simultaneous equation systems, Dr ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys- tems i) the method allows a flexible specification of the prior density, including well defined noninformative prior measures; ii) it yields exact finite sample posterior and predictive densities. However, they call for further developments so that these densities can be eval- uated through numerical methods, using an integrated software packa e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that the integrations can be done and how they are done. In this monograph, we explain how we contribute to achieve the developments suggested by Dr ze and Richard. A basic idea is to use known properties of the porterior density of the param- eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.

Bayesian Data Analysis in Ecology Using Linear Models with R, BUG

Автор: Franzi Korner-Nievergelt
Название: Bayesian Data Analysis in Ecology Using Linear Models with R, BUG
ISBN: 0128013702 ISBN-13(EAN): 9780128013700
Издательство: Elsevier Science
Рейтинг:
Цена: 66240.00 T
Наличие на складе: Невозможна поставка.
Описание:

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions--including all R codes--that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.


Estimation of Simultaneous Equation Models with Error Components Structure

Автор: Jayalakshmi Krishnakumar
Название: Estimation of Simultaneous Equation Models with Error Components Structure
ISBN: 3540500316 ISBN-13(EAN): 9783540500315
Издательство: Springer
Рейтинг:
Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: After a substantial survey of panel data models, the newly proposed model is presented in detail and indirect estimations, full information and limited information estimations, and estimations with and without the assumption of normal distribution errors.

Posterior and Predictive Densities for Simultaneous Equation Models

Автор: J.-F. Richard
Название: Posterior and Predictive Densities for Simultaneous Equation Models
ISBN: 3540065253 ISBN-13(EAN): 9783540065258
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2)
ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
Kaspi QR
   В Контакте     В Контакте Мед  Мобильная версия