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stat.AP2025
Bayesian integrative factor analysis methods, with application in nutrition and genomics data
Mavis Liang, Blake Hansen, Alejandra Avalos-Pacheco +1
High-dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models…
stat.CO2025
Probabilistic Programming with Sufficient Statistics for faster Bayesian Computation
Clemens Pichler, Jack Jewson, Alejandra Avalos-Pacheco
Probabilistic programming methods have revolutionised Bayesian inference, making it easier than ever for practitioners to perform Markov-chain-Monte-Carlo sampling from non-conjuga…