24小时热门版块排行榜

>论坛更新日志 (3223)
>虫友互识 (264)
>文献求助 (209)
>导师招生 (144)
>硕博家园 (100)
>休闲灌水 (68)
>考博 (67)
>论文道贺祈福 (53)
>考研 (45)
>博后之家 (44)
>教师之家 (42)
>公派出国 (42)
>论文投稿 (40)
>基金申请 (35)
>招聘信息布告栏 (33)
>找工作 (28)

返回列表

当前主题已经存档。

nimalu

铁杆木虫 (著名写手)

应助: 9 (幼儿园)
金币: 8358.2
散金: 131
红花: 12
帖子: 1073
在线: 1332.2小时
虫号: 286110
注册: 2006-10-15
专业: 应用数学方法

[交流] Multivariate Bayesian Statistics

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing

ISBN: 1584883189
Title: Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing
Author: Daniel B. Rowe
Publisher: Chapman & Hall/CRC
Publication Date: 2002-11-25
Number Of Pages: 352

Book Info
Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information regarding the model parameters and not only allow estimation of the sources and mixing coefficients, but also allow inferences to be drawn from them.

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing offers a thorough, self-contained treatment of the source separation problem. After an introduction to the problem using the "cocktail-party" analogy, Part I provides the statistical background needed for the Bayesian source separation model. Part II considers the instantaneous constant mixing models, where the observed vectors and unobserved sources are independent over time but allowed to be dependent within each vector. Part III details more general models in which sources can be delayed, mixing coefficients can change over time, and observation and source vectors can be correlated over time. For each model discussed, the author gives two distinct ways to estimate the parameters.

Real-world source separation problems, encountered in disciplines from engineering and computer science to economics and image processing, are more difficult than they appear. This book furnishes the fundamental statistical material and up-to-date research results that enable readers to understand and apply Bayesian methods to help solve the many "cocktail party" problems they may confront in practice.

http://djvu.504.com1.ru:8019/WWW ... 48409014e097f5.djvu

回复此楼