11 citations · 40 across the 16 of their papers we have counts for
17 papers
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…
hdtg: An R package for high-dimensional truncated normal simulation
Zhenyu Zhang, Andrew Chin, Akihiko Nishimura +1
Simulating from the multivariate truncated normal distribution (MTN) is required in various statistical applications yet remains challenging in high dimensions. Currently available…
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…
Computational Statistics and Data Science in the Twenty-first Century
Andrew J. Holbrook, Akihiko Nishimura, Xiang Ji +1
Data science has arrived, and computational statistics is its engine. As the scale and complexity of scientific and industrial data grow, the discipline of computational statistics…
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…