11 citations · 40 across the 16 of their papers we have counts for
8 papers · 1 filter
Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
Andrew Chin, Xiyu Ding, Akihiko Nishimura
Sparse regression based on global-local shrinkage priors are increasingly used for Bayesian modeling of modern high-dimensional data, but scaling up the Gibbs sampler for posterior…
Bayesian Safety Surveillance with Adaptive Bias Correction
Fan Bu, Martijn J. Schuemie, Akihiko Nishimura +7
Post-market safety surveillance is an integral part of mass vaccination programs. Typically relying on sequential analysis of real-world health data as they accrue, safety surveill…
Adjusting for both sequential testing and systematic error in safety surveillance using observational data: Empirical calibration and MaxSPRT
Martijn J. Schuemie, Fan Bu, Akihiko Nishimura +1
Post-approval safety surveillance of medical products using observational healthcare data can help identify safety issues beyond those found in pre-approval trials. When testing se…
Accelerating Bayesian inference of dependency between complex biological traits
Zhenyu Zhang, Akihiko Nishimura, Nídia S. Trovão +5
Inferring dependencies between complex biological traits while accounting for evolutionary relationships between specimens is of great scientific interest yet remains infeasible wh…
Shrinkage-based random local clocks with scalable inference
Alexander A. Fisher, Xiang Ji, Akihiko Nishimura +2
Local clock models propose that the rate of molecular evolution is constant within phylogenetic sub-trees. Current local clock inference procedures scale poorly to large taxa probl…
Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models
Zhenyu Zhang, Akihiko Nishimura, Paul Bastide +5
Inferring concerted changes among biological traits along an evolutionary history remains an important yet challenging problem. Besides adjusting for spurious correlation induced f…
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates
Akihiko Nishimura, Marc A. Suchard
Use of continuous shrinkage priors -- with a "spike" near zero and heavy-tails towards infinity -- is an increasingly popular approach to induce sparsity in parameter estimates. Wh…
Bayesian Constraint Relaxation
Leo L Duan, Alexander L Young, Akihiko Nishimura +1
Prior information often takes the form of parameter constraints. Bayesian methods include such information through prior distributions having constrained support. By using posterio…