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Chapman and Hall/CRC Multivariate Bayesian Statistics Book

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Description

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing by Chapman and Hall/CRC provides a thorough and self-contained treatment of the source separation problem. Unlike other primary approaches that impose unreasonable model and likelihood constraints, the Bayesian statistical approach incorporates available information regarding model parameters. This method allows for the estimation of both sources and mixing coefficients while enabling users to draw meaningful inferences from them. This text serves as a technical resource for understanding how Bayesian methods address complex signal unmixing challenges without the limitations of traditional modeling constraints.

Key Features

This book by Chapman and Hall/CRC offers a self-contained treatment of the source separation problem.

The Bayesian statistical approach used in this text avoids unreasonable model and likelihood constraints.

Users can estimate both sources and mixing coefficients through the methods presented in this volume.

The text allows for drawing inferences from model parameters using available information.

Multivariate Bayesian Statistics provides specialized models for signal unmixing and source separation.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 November 2002
Listed Since
05 February 2007

Barcode

No barcode data available

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