Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Maria J. Bayarri"'
Autor:
James O. Berger, Luis R. Pericchi, Maria J. Bayarri, Ingmar Visser, Woncheol Jang, Surajit Ray
Publikováno v:
Statistical Theory and Related Fields, 3(1), 2-13. Routledge
We present a new approach to model selection and Bayes factor determination, based on Laplace expansions (as in BIC), which we call Prior-based Bayes Information Criterion (PBIC). In this approach, the Laplace expansion is only done with the likeliho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e552c6646a4338fcf8595f74f06489e
https://dare.uva.nl/personal/pure/en/publications/priorbased-bayesian-information-criterion(154ba7b7-a308-45bd-b98e-755edac193d7).html
https://dare.uva.nl/personal/pure/en/publications/priorbased-bayesian-information-criterion(154ba7b7-a308-45bd-b98e-755edac193d7).html
Publikováno v:
Journal of mathematical psychology
Much of science is (rightly or wrongly) driven by hypothesis testing. Even in situations where the hypothesis testing paradigm is correct, the common practice of basing inferences solely on p-values has been under intense criticism for over 50 years.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c74515ff42a9b22dde46ba05e72bda
Autor:
Maria J. Bayarri, James O. Berger, Robert L. Wolpert, Abani Patra, E. Bruce Pitman, Elaine Spiller, Eliza S. Calder
Publikováno v:
International Journal for Uncertainty Quantification. 5:297-325
This paper presents a novel approach to assessing the hazard threat to a locale due to a large volcanic avalanche. The methodology combines: (i) mathematical modeling of volcanic mass flows; (ii) field data of avalanche frequency, volume, and runout;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c81b21659fce1af6730dbb2c085428
https://doi.org/10.1615/int.j.uncertaintyquantification.2015011451
https://doi.org/10.1615/int.j.uncertaintyquantification.2015011451
Autor:
Abani Patra, E. Bruce Pitman, Elaine Spiller, Eliza S. Calder, Robert L. Wolpert, Maria J. Bayarri, James O. Berger
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 2:126-152
This paper describes an efficient and systematic process for using geophysical computer model simulations to guide efforts in probabilistic hazard mapping. The framework being proposed requires the simultaneous construction of many ($10^2$--$10^4$) s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e819f50aa60c03b0fe5645f4be3f758a
https://doi.org/10.1137/120899285
https://doi.org/10.1137/120899285
Publikováno v:
Journal of Mathematical Psychology. 89:98
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81d1917226420028a583a88146618748
https://doi.org/10.1016/j.jmp.2019.03.005
https://doi.org/10.1016/j.jmp.2019.03.005
Publikováno v:
Econometric Reviews. 33:197-217
Model selection procedures often depend explicitly on the sample size n of the experiment. One example is the Bayesian information criterion (BIC) criterion and another is the use of Zellner–Siow priors in Bayesian model selection. Sample size is w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5422be549cdcf1139f2bb11f1c61f8b6
https://doi.org/10.1080/07474938.2013.807157
https://doi.org/10.1080/07474938.2013.807157
Autor:
Maria J. Bayarri, Robert L. Wolpert, Elaine Spiller, James O. Berger, Eliza S. Calder, Simon Lunagomez, Abani Patra, Keith Dalbey, E. Bruce Pitman
Publikováno v:
Technometrics. 51:402-413
Risk assessment of rare natural hazards, such as large volcanic block and ash or pyroclastic flows, is addressed. Assessment is approached through a combination of computer modeling, statistical modeling, and extreme-event probability computation. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c7770020c852a38eef04be5f9160ec9
https://doi.org/10.1198/tech.2009.08018
https://doi.org/10.1198/tech.2009.08018
Autor:
James O. Berger, Marc C. Kennedy, Rui Paulo, Maria J. Bayarri, J Sacks, Jian Tu, Athanasios Kottas, John A. Cafeo, Chin-Hsu Lin
Publikováno v:
Journal of the American Statistical Association. 104:929-943
The CRASH computer model simulates the effect of a vehicle colliding against different barrier types. If it accurately represents real vehicle crashworthiness, the computer model can be of great value in various aspects of vehicle design, such as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a85f6be76bcaf16e0e4350fafa7d47
https://doi.org/10.1198/jasa.2009.ap06623
https://doi.org/10.1198/jasa.2009.ap06623
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 70:981-1003
Summary We introduce objective proper prior distributions for hypothesis testing and model selection based on measures of divergence between the competing models; we call them divergence-based (DB) priors. DB priors have simple forms and desirable pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247926203ec01dea5b42d8028d449af5
https://doi.org/10.1111/j.1467-9868.2008.00667.x
https://doi.org/10.1111/j.1467-9868.2008.00667.x
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 197:2457-2466
A major question for the application of computer models is Does the computer model adequately represent reality? Viewing the computer models as a potentially biased representation of reality, Bayarri et al. [M. Bayarri, J. Berger, R. Paulo, J. Sacks,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9796eed0525ac51dab88c277d2e3459
https://doi.org/10.1016/j.cma.2007.05.032
https://doi.org/10.1016/j.cma.2007.05.032