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, 2000 After making some general remarks, I consider two examples that illustrate the use of Bayesian Probability Theory. The first is a simple one, the physicist's favorite "toy," that provides a forum for a discussion of the key conceptual issue of Bayesian ...
Prosper, Harrison B.
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BAT - The Bayesian Analysis Toolkit [PDF]
Computer Physics Communications, 2008 We describe the development of a new toolkit for data analysis. The analysis package is based on Bayes' Theorem, and is realized with the use of Markov Chain Monte Carlo. This gives access to the full posterior probability distribution.
Akaike +14 more
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Multiscale Bayesian survival analysis [PDF]
The Annals of Statistics, 2021 We consider Bayesian nonparametric inference in the right-censoring survival model, where modeling is made at the level of the hazard rate. We derive posterior limiting distributions for linear functionals of the hazard, and then for `many' functionals simultaneously in appropriate multiscale spaces.
Castillo, Ismaël +1 more
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Adsorption studies of Iodine removal by low-cost Bioinspired Mushuma and Mupane bark derived adsorbents for urban and rural wastewater reuse [PDF]
International Journal of Human Capital in Urban Management, 2022 BACKGROUND AND OBJECTIVES: Water pollution and scarcity are becoming a serious challenge worldwide and methods of treating or recycling the wastewater are becoming expensive, especially in rural areas of least developed countries.
O. Gotore +4 more
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Informed Bayesian survival analysis
BMC Medical Research Methodology, 2022 AbstractBackgroundWe provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to the currently dominant frequentist approach and highlight advantages, such as seamless incorporation of historical data, continuous monitoring of ...
Bartoš, F., Aust, F., Haaf, J.M.
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Italian Journal of Animal Science, 2021 Bayes Cπ methodology due to the simultaneous use of all SNPs in a random regression model is an alternative to overcome the overestimation of SNPs effects and excess of false positives.
Zeinab Asgari +3 more
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Revista Internacional de Ciencias del Deporte, 2021 Señor editor, En el volumen 16 de RICYDE. Revista Internacional de Ciencias del Deporte, se publicó una importante investigación que reporta la existencia de una correlación negativa y estadísticamente significativa entre la frecuencia cardíaca media (
Cristian Antony Ramos-Vera
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The Marshall-Olkin Gompertz Distribution: Properties and Applications
Statistica, 2021 This article introduces three parameters class for lifetime Poisson processes in the Marshall-Olkin transformation family that are increasing, bathtub and skewed.
Joseph Thomas Eghwerido +2 more
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Bayesian exploratory factor analysis [PDF]
Journal of Econometrics, 2014 This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings.
Conti, Gabriella +3 more
openaire +15 more sources
Comment on Article by Berger, Bernardo, and Sun
, 2015 Discussion of Overall Objective Priors by James O. Berger, Jose M. Bernardo, Dongchu Sun [arXiv:1504.02689].Comment: Published at http://dx.doi.org/10.1214/14-BA937 in the Bayesian Analysis (http://projecteuclid.org/euclid.ba) by the International ...
Rousseau, Judith
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