Results 311 to 320 of about 1,820,384 (367)
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Proceedings of the IEEE, 2016Bobak Shahriari, Nando De Freitas
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Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Applied and Environmental Microbiology, 2007 Qiong Wang +2 more
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MRBAYES: Bayesian inference of phylogenetic trees
Bioinformatics, 2001 John P Huelsenbeck, Fredrik Ronquist
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BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
PLoS Computational Biology, 2014 We present a new open source, extensible and flexible software platform for Bayesian evolutionary analysis called BEAST 2. This software platform is a re-design of the popular BEAST 1 platform to correct structural deficiencies that became evident as the
Remco R Bouckaert +2 more
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NEJM Evidence, 2023
In the Stats, STAT! video, "Bayesian Way", originally published April 25, 2023 (DOI: 10.1056/EVIDstat2300090), at the 5:19 mark, the video states "…there is a 95% probability that biking is faster than taking the train…". It should have said, "…there is a greater than 95% probability that biking is faster than taking the train…" A corrected version of ...
C Corey, Hardin +6 more
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In the Stats, STAT! video, "Bayesian Way", originally published April 25, 2023 (DOI: 10.1056/EVIDstat2300090), at the 5:19 mark, the video states "…there is a 95% probability that biking is faster than taking the train…". It should have said, "…there is a greater than 95% probability that biking is faster than taking the train…" A corrected version of ...
C Corey, Hardin +6 more
openaire +4 more sources
Academy of Management Proceedings, 2007
We study three distinct measures of overconfidence: (1) overestimation of one's performance, (2) overplacement of one's performance relative to others, and (3) overprecision in one's belief about private signals. A new set of experiments verifies a strong negative link between overestimation and overprecision that depends crucially on task difficulty ...
Healy, Paul J., Moore, Don A.
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We study three distinct measures of overconfidence: (1) overestimation of one's performance, (2) overplacement of one's performance relative to others, and (3) overprecision in one's belief about private signals. A new set of experiments verifies a strong negative link between overestimation and overprecision that depends crucially on task difficulty ...
Healy, Paul J., Moore, Don A.
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Statistics and computing, 2015Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction accuracy from a fitted Bayesian model using the log-likelihood evaluated at the posterior ...
Aki Vehtari, A. Gelman, Jonah Gabry
semanticscholar +1 more source
Econometrica, 1985
The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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The widespread use of prior information in formulating, estimating, and using econometric models is reviewed. Attempts to avoid the use of prior information by formulating multivariate statistical VAR and ARMA time series models for economic time series data have resulted in heavily over-parametrized models.
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Econometrica, 1991
Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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SSRN Electronic Journal, 2005 This paper presents a modification of the inspection game: The ?Bayesian Monitoring? model rests on the assumption that judges are interested in enforcing compliant behavior and making correct decisions. They may base their judgements on an informative but imperfect signal which can be generated costlessly.
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