Statistical Inference from Stochastic Processes

Statistical Inference from Stochastic Processes
Author :
Publisher : American Mathematical Soc.
Total Pages : 406
Release :
ISBN-10 : 9780821850879
ISBN-13 : 0821850873
Rating : 4/5 (873 Downloads)

Book Synopsis Statistical Inference from Stochastic Processes by : Narahari Umanath Prabhu

Download or read book Statistical Inference from Stochastic Processes written by Narahari Umanath Prabhu and published by American Mathematical Soc.. This book was released on 1988 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprises the proceedings of the AMS-IMS-SIAM Summer Research Conference on Statistical Inference from Stochastic Processes, held at Cornell University in August 1987. This book provides students and researchers with a familiarity with the foundations of inference from stochastic processes and intends to provide a knowledge of the developments.


Statistical Inference from Stochastic Processes Related Books

Statistical Inference from Stochastic Processes
Language: en
Pages: 406
Authors: Narahari Umanath Prabhu
Categories: Mathematics
Type: BOOK - Published: 1988 - Publisher: American Mathematical Soc.

DOWNLOAD EBOOK

Comprises the proceedings of the AMS-IMS-SIAM Summer Research Conference on Statistical Inference from Stochastic Processes, held at Cornell University in Augus
Statistical Inference in Stochastic Processes
Language: en
Pages: 294
Authors: N.U. Prabhu
Categories: Mathematics
Type: BOOK - Published: 2020-08-13 - Publisher: CRC Press

DOWNLOAD EBOOK

Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image
Statistical Inferences for Stochasic Processes
Language: en
Pages: 464
Authors: Ishwar V. Basawa
Categories: Mathematics
Type: BOOK - Published: 1980-01-28 - Publisher: Academic Press

DOWNLOAD EBOOK

Introductory examples of stochastic models; Special models; General theory; Further approaches.
Bayesian Inference for Stochastic Processes
Language: en
Pages: 409
Authors: Lyle D. Broemeling
Categories: Mathematics
Type: BOOK - Published: 2017-12-12 - Publisher: CRC Press

DOWNLOAD EBOOK

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the Bayesian approach (includ
Statistical Inference for Discrete Time Stochastic Processes
Language: en
Pages: 121
Authors: M. B. Rajarshi
Categories: Mathematics
Type: BOOK - Published: 2014-07-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This work is an overview of statistical inference in stationary, discrete time stochastic processes. Results in the last fifteen years, particularly on non-Gaus