Cited by 156Statistical Methods and Bayesian InferenceStatistical Methods and InferenceStatistical Distribution Estimation and Applications

Predictive Likelihood: A Review

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Bjornstad, Jan F.·1990·Statistical Science

Abstract

The concept of predictive likelihood is reviewed and studied. The emphasis is on comparing and clarifying some of the more important predictive likelihoods suggested in the literature. A unified modification and simplification of the sufficiency-based predictive likelihoods is suggested. Other predictive likelihoods discussed include the profile predictive likelihood and various modifications of it.

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Crossref · 10.1214/ss/1177012175

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  • MCMC and bootstrap based approaches are numerically demanding and provide only rough approximations for ODE models, making it difficult to control the coverage of prediction confidence intervals.

    “Methods for an approximate sampling of the parameter space, e.g. the Markov Chain Monte Carlo (MCMC) methods [11,12], and bootstrap based approaches [4,13] are numerically demanding and provide only rough approximations for ODE models. Therefore, it is difficult to control the coverage of the prediction confidence intervals for such approaches.”

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Research works printed but not linked: 1

  1. Rao, C. R. (1977). Prediction of future observations with special reference to linear models. In Multivariate Analysis IV (P. R. Krishnaiah, ed.) 193-208. North-Holland, Amsterdam.

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Authors
Bjornstad, J. F.
Venue
Statistical Science
Published
1990-05-01
Volume
5
Issue
2
Pages
242-254
ISSN
  • 0883-4237 (ISSN-L)
  • 2168-8745
OpenAlex
W2050190133
Cited by
156
References
20
Citations by year
2026: 1 · 2025: 1 · 2024: 5 · 2022: 5 · 2021: 12 · 2020: 1 · 2019: 5 · 2018: 6 · 2017: 7 · 2016: 4 · 2015: 5 · 2014: 4 · 2013: 8 · 2012: 4
FWCI
2.81
Type
journal article
Language
en
Open access
Locations
  • Statistical Science (publishedVersion)
  • Project Euclid (Cornell University) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
Keywords
predictive likelihood, predictive distribution, sufficiency, Bayesian forecasting, likelihood comparison

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