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Found 6 papers, 1 papers with code
A Pólya-Gamma Sampler for a Generalized Logistic Regression
In this paper we introduce a novel Bayesian data augmentation approach for estimating the parameters of the generalised logistic regression model.
Methodology Computation Other Statistics
Bayes Calculations from Quantile Implied Likelihood
In statistical practice, a realistic Bayesian model for a given data set can be defined by a likelihood function that is analytically or computationally intractable, due to large data sample size, high parameter dimensionality, or complex likelihood functional form.
Methodology
Objective Bayesian Analysis for Change Point Problems
In this paper we present a loss-based approach to change point analysis.
Modelling Preference Data with the Wallenius Distribution
The Wallenius distribution is a generalisation of the Hypergeometric distribution where weights are assigned to balls of different colours.
Modelling and computation using NCoRM mixtures for density regression
Normalized compound random measures are flexible nonparametric priors for related distributions.
Generalized Species Sampling Priors with Latent Beta reinforcements
We evaluate the performance of the prior and the robustness of the resulting inference in a simulation study, providing a comparison with popular Dirichlet Processes mixtures and Hidden Markov Models.
