Robust Bayesian approach to logistic regression modeling in small sample size utilizing a weakly informative student’s t prior distribution-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Robust Bayesian approach to logistic regression modeling in small sample size utilizing a weakly informative student’s t prior distribution

Published:2021-05-17 Issue: Volume: Page:1-11
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Asanya Kenneth Chukwuemeka¹,Kharrat Mohamed¹,Udom Akaninyene Udo²,Torsen Emmanuel³

Affiliation:

1. Higher Institute of Computer Science and Management, University of Kairouan, Kairouan, Tunisia

2. Department of Statistics, University of Nigeria, Nsukka, Enugu, Nigeria

3. Department of Statistics and Operations Research, Modibbo Adama University of Technology Yola, Yola, Nigeria

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2021.1912767

Reference21 articles.

1. Qualitative methods of data analysis in psychology: an analysis of the literature

2. Robust Estimation in the Logistic Regression Model

3. Bayesian Inference in Statistical Analysis

4. Binary Regression Models for Contaminated Data

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring transportation equity issues for persons with disabilities: The impact of gender on mobility and accessibility indicators;Journal of Transport & Health;2024-05

2. Prediction for Risk of Hypouricemia in Hospitalized Patients: A Single-center, Retrospective Cohort Study;Internal Medicine;2024

3. The impact of power outages on households in Zambia;Economia Politica;2023-09-02

4. Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare;Computers in Biology and Medicine;2023-09

5. Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection;Energy;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3