Prediction intervals for Poisson‐based regression models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Prediction intervals for Poisson‐based regression models

Published:2021-06-21 Issue: Volume: Page:
ISSN:1939-5108
Container-title:WIREs Computational Statistics
language:en
Short-container-title:WIREs Comp Stat

Author:

Kim Taeho¹^ORCID,Lieberman Benjamin²^ORCID,Luta George³⁴^ORCID,Peña Edsel A.²^ORCID

Affiliation:

1. Department of Statistics University of Haifa Haifa Israel

2. Department of Statistics University of South Carolina Columbia South Carolina USA

3. Department of Biostatistics, Bioinformatics & Biomathematics Georgetown University Washington District of Columbia USA

4. The Parker Institute Copenhagen University Hospital Frederiksberg Denmark

Funder

National Science Foundation

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1568

Reference64 articles.

1. Curating a COVID‐19 data repository and forecasting county‐level death counts in the United States;Altieri N.;Harvard Data Science Review,2021

2. Comparison of confidence and prediction intervals for different mixed-Poisson regression models

3. Prediction intervals based on partial observations for some discrete distributions

4. Prediction and Asymptotics

5. Bayesian and frequentist prediction limits for the Poisson distribution

Cited by 6 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. Fitting Epidemic Models to Data: A Tutorial in Memory of Fred Brauer;Bulletin of Mathematical Biology;2024-07-25

2. Fine-grained effect sizes.;School Psychology;2024-04-11

3. A Bayesian model for predicting monthly fire frequency in Kenya;PLOS ONE;2024-01-25

4. A Statistical Forecast Model for Extratropical Cyclones Including Intensity and Precipitation Type;Monthly Weather Review;2023-11

5. The calculation of historical control limits in toxicology: Do's, don'ts and open issues from a statistical perspective;Mutation Research/Genetic Toxicology and Environmental Mutagenesis;2023-11

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