Bayesian framework for interval-valued data using Jeffreys’ prior and posterior predictive checking methods-Reference-Cited by-同舟云学术

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Bayesian framework for interval-valued data using Jeffreys’ prior and posterior predictive checking methods

Published:2022-06-03 Issue: Volume: Page:1-19
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Xu Min¹²,Qin Zhongfeng¹³

Affiliation:

1. School of Economics and Management, Beihang University, Beijing, China

2. Key Laboratory of Advanced Theory and Application in Statistics and Data Science (East China Normal University), Ministry of Education

3. Key Laboratory of Complex System Analysis, Management and Decision (Beihang University), Ministry of Education

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2076869

Reference21 articles.

1. Beranger, B, H. Lin, and S. A. Sisson. 2020. New models for symbolic data analysis.

2. Descriptive Statistics for Symbolic Data

3. Regression Analysis for Interval-Valued Data

4. Bayesian Inference in Statistical Analysis

5. Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models

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