Network knockoffs simulate synthetic features on the topological network to control FDR in dyadic regression, outperforming data splitting and standard knockoffs in simulations and a stream barrier application.
Bayesian variable selection regression for genome-wide association studies and other large-scale problems
3 Pith papers cite this work. Polarity classification is still indexing.
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Rashomon-seeded annealing repurposes Rashomon sets as warm starts for annealed importance sampling to enable full posterior inference in factorial designs without exhaustive enumeration.
A joint Bayesian framework with sparsity priors for simultaneous inference of NLMEM parameters and high-dimensional genetic covariate selection in population pharmacokinetics.
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Joint Bayesian Inference of Genetic Effect Sizes and PK Parameters in Nonlinear Mixed-Effects Models
A joint Bayesian framework with sparsity priors for simultaneous inference of NLMEM parameters and high-dimensional genetic covariate selection in population pharmacokinetics.