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02/08/2022
Variance matrix priors for Dirichlet process mixture models with Gaussian kernels
The Dirichlet Process Mixture Model (DPMM) is a Bayesian non-parametric ...
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02/26/2019
Parameter Redundancy and the Existence of Maximum Likelihood Estimates in Log-linear Models
In fitting log-linear models to contingency table data, the presence of ...
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11/28/2017
On the correspondence of deviances and maximum likelihood and interval estimates from log-linear to logistic regression modelling
Consider a set of categorical variables P where at least one, denoted by...
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09/04/2017
On synthetic data with predetermined subject partitioning and cluster profiling, and pre-specified categorical variable marginal dependence structure
A standard approach for assessing the performance of partition or mixtur...
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09/04/2017