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Bayesian timeâvarying quantile regression to extremes
Environmetrics, 2019AbstractMaximum analysis consists of modeling the maximums of a data set by considering a specific distribution. Extreme value theory (EVT) shows that, for a sufficiently large block size, the maxima distribution is approximated by the generalized extreme value (GEV) distribution.
Fernando Ferraz Do Nascimento +1 more
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Bayesian tobit quantile regression with penalty
Communications in Statistics - Simulation and Computation, 2017ABSTRACTTobit quantile regression (QReg) model provides an efficient way of coping with left-censored data and can be viewed as a linear QReg model, where only the data on the dependent variable is incompletely observed. This article considers the regularizer in tobit QReg from a Bayesian perspective.
Rahim Alhamzawi +1 more
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Bayesian Elastic Net Tobit Quantile Regression
Communications in Statistics - Simulation and Computation, 2014In this article, the problem of parameter estimation and variable selection in the Tobit quantile regression model is considered. A Tobit quantile regression with the elastic net penalty from a Bayesian perspective is proposed. Independent gamma priors are put on the l1 norm penalty parameters.
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Bayesian reaction optimization as a tool for chemical synthesis
Nature, 2021Benjamin J Shields +2 more
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Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
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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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Bayesian Composite [[Equation]]-Quantile Regression
SSRN Electronic Journal, 2022openaire +1 more source
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Systematic Biology, 2012Fredrik Ronquist +2 more
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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Systematic Biology, 2018Andrew Rambaut +2 more
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