Bayesian Inference on Complicated Data
Editor
- Niansheng Tang
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.5772/intechopen.83214
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Book Chapters
The following chapters of this book are listed in IDEAS- Ying-Ying Zhang, 2020. "The Bayesian Posterior Estimators under Six Loss Functions for Unrestricted and Restricted Parameter Spaces," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Hongsheng Dai, 2020. "A Review on the Exact Monte Carlo Simulation," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Fatemeh Ghaderinezhad & Christophe Ley, 2020. "On the Impact of the Choice of the Prior in Bayesian Statistics," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Xi Chen & Jianhua Xuan, 2020. "Bayesian Inference of Gene Regulatory Network," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Junshan Shen & Catherine Chunling Liu, 2020. "Bayesian Analysis for Random Effects Models," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Michelle Yongmei Wang & Trevor Park, 2020. "A Brief Tour of Bayesian Sampling Methods," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
- Shahid Naseem, 2020. "Patient Bayesian Inference: Cloud-Based Healthcare Data Analysis Using Constraint-Based Adaptive Boost Algorithm," Chapters, in: Niansheng Tang (ed.), Bayesian Inference on Complicated Data, IntechOpen.
More about this item
JEL classification:
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
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