BSPCoA uses Bayesian methods to create a sparse linear approximation of principal coordinates from microbiome dissimilarity data, with a tolerance check for when the approximation holds.
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stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
PL-Cox and GPL-Cox are new Gibbs samplers for Bayesian Cox models based on rank-ordered Plackett-Luce representations that avoid posterior corrections and handle ties and frailty.
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Bayesian sparse principal coordinates analysis with delta-tolerant linear approximation for microbiome data
BSPCoA uses Bayesian methods to create a sparse linear approximation of principal coordinates from microbiome dissimilarity data, with a tolerance check for when the approximation holds.
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Efficient Bayesian Inference in the Cox Model via Rank-Ordered Likelihood
PL-Cox and GPL-Cox are new Gibbs samplers for Bayesian Cox models based on rank-ordered Plackett-Luce representations that avoid posterior corrections and handle ties and frailty.