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ANALISIS SURVIVAL UNTUK PARAMETER SKALA DARI DISTRIBUSI WEIBULL MENGGUNAKAN MLE DAN METODE BAYESIAN
Barekeng, 2021 Modeling of survival data is necessary and important to do. Survival data is generally assumed to have a Weibull distribution. Bayesian approach has been implemented to estimate the parameter in such this survival analysis. This study purposes to compare
Ferra Yanuar +2 more
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A channel-based perspective on conjugate priors [PDF]
Mathematical Structures in Computer Science, 2020 AbstractA desired closure property in Bayesian probability is that an updated posterior distribution be in the same class of distributions – say Gaussians – as the prior distribution. When the updating takes place via a statistical model, one calls the class of prior distributions the ‘conjugate priors’ of the model.
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Mechanism of retrotransfer in conjugation: prior transfer of the conjugative plasmid is required [PDF]
Journal of Bacteriology, 1996 Bacterial conjugation normally involves the unidirectional transfer of DNA from donor to recipient. Occasionally, conjugation results in the transfer of DNA from recipient to donor, a phenomenon known as retrotransfer. Two distinct models have been generally considered for the mechanism of retrotransfer.
E A Sia, D M Kuehner, David H. Figurski
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Enriched standard conjugate priors and the right invariant prior for Wishart distributions
Journal of Multivariate Analysis, 2023 The prediction of the variance-covariance matrix of the multivariate normal distribution is important in the multivariate analysis. We investigated Bayesian predictive distributions for Wishart distributions under the Kullback-Leibler divergence. The conditional reducibility of the family of Wishart distributions enables us to decompose the risk of a ...
Hidemasa Oda, Fumiyasu Komaki
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Vaccination in Kidney Transplant Candidates
Transplantation Direct, 2023 Background:. Kidney transplant (KT) candidates have historically low immunization rates against recommended vaccines. A retrospective single-center study of contemporary KT candidates was conducted to assess vaccination rates and vaccine uptake. Methods:.
Kiran Gajurel, MD +3 more
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Gradient conjugate priors and multi-layer neural networks [PDF]
Artificial Intelligence, 2020 The paper deals with learning probability distributions of observed data by artificial neural networks. We suggest a so-called gradient conjugate prior (GCP) update appropriate for neural networks, which is a modification of the classical Bayesian update for conjugate priors. We establish a connection between the gradient conjugate prior update and the
Pavel Gurevich, Hannes Stuke
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Mathematical modelling long-term effects of replacing Prevnar7 with Prevnar13 on invasive pneumococcal diseases in England and Wales. [PDF]
PLoS ONE, 2012 England and Wales recently replaced the 7-valent pneumococcal conjugate vaccine (PCV7) with its 13-valent equivalent (PCV13), partly based on projections from mathematical models of the long-term impact of such a switch compared to ceasing pneumococcal ...
Yoon Hong Choi +4 more
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A conjugate prior for discrete hierarchical log-linear models [PDF]
The Annals of Statistics, 2009 24 pages, 1 ...
Massam, Hélène +2 more
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Conjugate-prior-regularized multinomial pLSA for collaborative filtering [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Stefan Ingi Adalbjörnsson +3 more
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Approximating Priors by Mixtures of Natural Conjugate Priors
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1983 SUMMARY The purpose of this paper is twofold: First, to show that a natural enlargement of the class of natural conjugate priors–namely, mixtures of natural conjugate priors–also leads to mathematically tractable solutions. Secondly, to show that this enlargement is “adequate” in that any prior may be arbitrarily closely approximated by ...
S. R. Dalal, W. J. Hall
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