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microbiome data

3 papers

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bayesian structure learning (1) gaussian copula graphical model (1) multivariate count data (1) kernel methods (1) matrix-t process (1) multinomial logistic normal (1) compositional data (1) sufficient dimension reduction (1) inference acceleration (1) high-dimensional data (1)

Papers

Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems JMLR 2024 Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022