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International Journal of Heat and Mass Transfer, 2019
The present article shows that a combination of Bayesian statistics and convolutional neural networks can be used to successfully detect the transition from nucleate to film boiling from visualization, even if the heater is not visible in the ...
Gustavo M. Hobold, Alexandre K. da Silva
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The present article shows that a combination of Bayesian statistics and convolutional neural networks can be used to successfully detect the transition from nucleate to film boiling from visualization, even if the heater is not visible in the ...
Gustavo M. Hobold, Alexandre K. da Silva
semanticscholar +1 more source
The Bayesian score statistic [PDF]
, 2000 We propose a novel Bayesian test under a (noninformative) Jeffreys'priorspecification. We check whether the fixed scalar value of the so-calledBayesian Score Statistic (BSS) under the null hypothesis is aplausiblerealization from its known and standardized distribution under thealternative. Unlike highest posterior density regions the BSS isinvariantto
Kleibergen, F.R., Kleijn, R., Paap, R.
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Analytical Methods, 2012
While data evaluation methods based on significance tests are familiar to analytical scientists, it is not so widely appreciated that alternative Bayesian methods are now also commonly used in a range of fields. This Technical Brief outlines some examples of the importance of Bayesian methods in a variety of areas of applied analytical science.
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While data evaluation methods based on significance tests are familiar to analytical scientists, it is not so widely appreciated that alternative Bayesian methods are now also commonly used in a range of fields. This Technical Brief outlines some examples of the importance of Bayesian methods in a variety of areas of applied analytical science.
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Bayesian Statistics in Archaeology
Annual Review of Anthropology, 2018Null hypothesis significance testing (NHST) is the most common statistical framework used by scientists, including archaeologists. Owing to increasing dissatisfaction, however, Bayesian inference has become an alternative to these methods.
Erik R. Otárola-Castillo +1 more
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2010
Bayesian statistics 478 How Bayesian methods work 480 Prior distributions 482 Likelihood; posterior distributions 484 Summarizing and presenting results 486 Using Bayesian analyses in medicine 488
Janet L. Peacock, Philip J. Peacock
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Bayesian statistics 478 How Bayesian methods work 480 Prior distributions 482 Likelihood; posterior distributions 484 Summarizing and presenting results 486 Using Bayesian analyses in medicine 488
Janet L. Peacock, Philip J. Peacock
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A comprehensive review of Bayesian statistics in natural hazards engineering
Natural Hazards, 2021Ye Zheng, Yazhou Xie, Xuejiao Long
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2005
This chapter discusses Bayesianism in statistics. The first section of the chapter is devoted to the First Bayesian Theory, which is immediately followed by a discussion of significance tests and the Second Bayesian Theory. Lindley's Paradox and the Neyman-Pearson Theory are examined in detail, along with the concept of priors and likelihood. The final
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This chapter discusses Bayesianism in statistics. The first section of the chapter is devoted to the First Bayesian Theory, which is immediately followed by a discussion of significance tests and the Second Bayesian Theory. Lindley's Paradox and the Neyman-Pearson Theory are examined in detail, along with the concept of priors and likelihood. The final
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Bayesian statistics for conformity assessment
2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15), 2015This paper discusses the opportunity to use the Bayesian inference methods to evaluate the uncertainty of measurement in the conformity assessment. In a small practical example the approach is applied to the conductivity measurement of a rubber insulating.
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Bayesian image restoration, with two applications in spatial statistics
, 1991J. Besag, J. York, A. Mollié
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