Empirical Bayesian Estimators for a Poisson Process Propagated in Time

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1521-4036(199907)41:4<385::AID-BIMJ385>3.0.CO;2-Z" /><385::AID-BIMJ385>3.0.CO;2-Z 10.1002/(SICI)1521-4036(199907)41:4<385::AID-BIMJ385>3.0.CO;2-ZzbMath0944.62009OpenAlexW1979932425MaRDI QIDQ4267700

Angela M. Downs, S. H. Heisterkamp, Hans C. van Houwelingen

Publication date: 26 September 2000

Full work available at URL: https://doi.org/10.1002/(sici)1521-4036(199907)41:4<385::aid-bimj385>3.0.co;2-z

zbMATH Keywords

predictionsmoothingback-calculationcomposite link functionsunobserved random walk

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Empirical decision procedures; empirical Bayes procedures (62C12)

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Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models ⋮ Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction ⋮ Hans van Houwelingen, 40 Years in Biostatistics ⋮ Multilevel and latent variable modeling with composite links and exploded likelihoods

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