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Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees

Bayesian Analysis(2024)10.1214/23-ba1412Source: DataRank Database

Incorporating Prior Information Into Distributed Lag Nonlinear Models With Zero-Inflated Monotone Regression Trees is a research paper published in Bayesian Analysis (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Authors (2)

Ander Wilson ORCID,Daniel Mork ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: 1R01AG066793-01

National Cohort Studies of Alzheimer's Disease, Related Dementias and Air Pollution

goldLicense: cc-by

publisherhttps://projecteuclid.org/journals/bayesian-analysis/advance-publication/Incorporating-Prior-Information-Into-Distributed-Lag-Nonlinear-Models-With-Zero/10.1214/23-BA1412.pdf

https://doi.org/10.1214/23-ba1412

https://dx.doi.org/10.48550/arxiv.2301.12937

http://arxiv.org/abs/2301.12937

https://zbmath.org/8044859

Fields of Study

01 natural sciences03 medical and health sciences0302 clinical medicine0101 mathematics

Keywords

FOS: Computer and information sciencesGeneralized linear models (logistic models)distributed lagApplications of statistics to biology and medical sciences; meta analysisMethodology (stat.ME)Time series, auto-correlation, regression, etc. in statistics (GARCH)monotoneBayesian additive regression treesinformative priorsApplications of statistics to environmental and related topicsStatistics - Methodologyvariable selection