Normed likelihood as saddlepoint approximation
From MaRDI portal
Publication:1105935
DOI10.1016/0047-259X(88)90124-8zbMath0649.62016OpenAlexW2066869993MaRDI QIDQ1105935
Publication date: 1988
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(88)90124-8
saddlepoint approximationconditional inferencelikelihood functionsexponential modelsBarndorff-Nielsen's formulaapproximate conditional distributionLaplace's method of integrationmaximum-likelihood estimatenormed likelihoodnormed likelihood with constant-information metric
Related Items
Converting observed likelihood functions to tail probabilities, An averaging approach to prediction, Numerical conversion of likelihood to significance, On partial likelihood and the construction of factorisable transformations, Tilted Edgeworth expansions for asymptotically normal vectors, Asymptotics and the theory of inference, Likelihood and higher‐order approximations to tail areas: A review and annotated bibliography, The second order ancillary is rotation based, Likelihood centered asymptotic model exponential and location model versions, Directional tests and statistical frames
Cites Work
- Likelihood and observed geometries
- Saddlepoint methods and statistical inference. With comments and a rejoinder by the author
- On a formula for the distribution of the maximum likelihood estimator
- Local sufficiency
- On conditional inference for a real parameter: A differential approach on the sample space
- On comparing two methods for approximate conditional inference
- The Multivariate Saddlepoint Method and Chi-Squared for the Multinomial Distribution
- Saddlepoint Approximations in Statistics
- Unnamed Item
- Unnamed Item