Open access peer-reviewed Edited Volume

Bayesian Inference on Complicated Data

Edited by Niansheng Tang

Yunnan University

Due to great applications in various fields, such as social science, biomedicine, genomics, and signal processing, and the improvement of computing ability, Bayesian inference has made substantial developments for analyzing complicated data. This book introduces key ideas of Bayesian sampling methods, Bayesian estimation, and selection of the prior. It is structured around topics on the impact of the choice of the prior on Bayesian statistics, some advances on Bayesian sampling methods, and Bayesian inference for complicated data including breast cancer data, cloud-based healthcare data, gene network data, and longitudinal data. This volume is designed for statisticians, engineers, doctors, and machine learning researchers.

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Bayesian Inference on Complicated DataEdited by Niansheng Tang

Published: July 15th 2020

DOI: 10.5772/intechopen.83214

ISBN: 978-1-83880-386-5

Print ISBN: 978-1-83880-385-8

eBook (PDF) ISBN: 978-1-83962-704-0

Copyright year: 2020

Books open for chapter submissions

890 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. On the Impact of the Choice of the Prior in Bayesian Statistics

By Fatemeh Ghaderinezhad and Christophe Ley

193

Open access peer-reviewed

2. A Brief Tour of Bayesian Sampling Methods

By Michelle Y. Wang and Trevor Park

129

Open access peer-reviewed

3. A Review on the Exact Monte Carlo Simulation

By Hongsheng Dai

114

Open access peer-reviewed

4. Bayesian Analysis for Random Effects Models

By Junshan Shen and Catherine C. Liu

65

Open access peer-reviewed

5. Bayesian Inference of Gene Regulatory Network

By Xi Chen and Jianhua Xuan

161

Open access peer-reviewed

6. Patient Bayesian Inference: Cloud-Based Healthcare Data Analysis Using Constraint-Based Adaptive Boost Algorithm

By Shahid Naseem

55

Open access peer-reviewed

7. The Bayesian Posterior Estimators under Six Loss Functions for Unrestricted and Restricted Parameter Spaces

By Ying-Ying Zhang

195

Edited Volume and chapters are indexed in

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  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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