1 citations · 2 across the 5 of their papers we have counts for
5 papers
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy
Elham Afzali, Saman Muthukumarana, Liqun Wang
Generalized Bayesian Inference (GBI) provides a flexible framework for updating prior distributions using various loss functions instead of the traditional likelihoods, thereby enh…
FRODO: A novel approach to micro-macro multilevel regression
Shaun McDonald, Alexandre Leblanc, Saman Muthukumarana +1
Within the field of hierarchical modelling, little attention is paid to micro-macro models: those in which group-level outcomes are dependent on covariates measured at the level of…
A Bayesian factor analysis model for high-dimensional microbiome count data
Ismaïla Ba, Maxime Turgeon, Simona Veniamin +18
Dimension reduction techniques are among the most essential analytical tools in the analysis of high-dimensional data. Generalized principal component analysis (PCA) is an extensio…
Bayesian Hypothesis Assessment in Two-arm Trials Using Relative Belief Ratios
Saman Muthukumarana, Michael Evans
This paper develops a Bayesian approach for assessing equivalence and non-inferiority hypotheses in two-arm trials using relative belief ratios. A relative belief ratio is a measur…
A New Approach to Inference in Multi-Survey Studies with Unknown Population Size
Kyle Vincent, Saman Muthukumarana
We investigate a Poisson sampling design in the presence of unknown selection probabilities when applied to a population of unknown size for multiple sampling occasions. The fixed-…