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.

Read more >Order hardcopy
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

3269 Total Chapter Downloads

1 Crossref Citations


Open access peer-reviewed

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

By Fatemeh Ghaderinezhad and Christophe Ley


Open access peer-reviewed

2. A Brief Tour of Bayesian Sampling Methods

By Michelle Y. Wang and Trevor Park


Open access peer-reviewed

3. A Review on the Exact Monte Carlo Simulation

By Hongsheng Dai


Open access peer-reviewed

4. Bayesian Analysis for Random Effects Models

By Junshan Shen and Catherine C. Liu


Open access peer-reviewed

5. Bayesian Inference of Gene Regulatory Network

By Xi Chen and Jianhua Xuan


Open access peer-reviewed

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

By Shahid Naseem


Open access peer-reviewed

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

By Ying-Ying Zhang


Edited Volume and chapters are indexed in

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

Order a hardcopy of the Edited Volume

Free shipping with DHL Express

Hardcover (ex. VAT)£119

Order now

Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Special discount for IntechOpen contributors

All IntechOpen contributors are offered special discounts starting at 40% OFF available through your personal dashboard

Login and purchase

Related books