Representative Publications

Advisee/co-advisee authorship is indicated by an asterisk *. The full publication list is available on my Google Scholar profile.

Computational statistics

• Nishimura, A. , Zhang, Z., and Suchard, M. A. (2025)
  Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process.
  Journal of the American Statistical Association.

• Nishimura, A. and Suchard, M. A. (2023)
  Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in “large n, large p” Bayesian sparse regression.
  Journal of the American Statistical Association.

• Nishimura, A. , Dunson, D. B., and Lu, J. (2020)
  Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods.
  Biometrika.

Statistical methodology

• Dun, Y.*, Chatterjee, N., Jin, J., and Nishimura, A. (2026)
  Constructing Genetic Risk Scores: Robust Bayesian Approach through Projected Summary Statistics and Flexible Shrinkage.
  Journal of the American Statistical Association: Applications and Case Studies.

• Nishimura, A. and Suchard, M. A. (2022)
  Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates.
  Bayesian Analysis.

• Zhang, Z., Nishimura, A. , Bastide, P., Ji, X., Lemey, P., and Suchard, M. A. (2021)
  Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models.
  Annals of Applied Statistics.

Applications to medicine and public health

• Barker, A. K., Nishimura, A. , Nuppnau, M., Buell, K. G., Lyons, P. G., Liao, W.-T., Park-Egan, B., Schmid, B. E., Ingraham, N. E., Chaudhari, V., Gao, C. A., Ortiz, A. C., Weissman, G. E., Chhikara, K., Rojas, J. C., Amaral, A. C., Parker, W. F., Iwashyna, T. J., Hager, D. N., Sjoding, M. W., Hochberg, C. H., and on behalf of the Common Longitudinal ICU data Format (CLIF) Consortium (2026)
  Prone Positioning in a North American Cohort of Hypoxemic Patients on Mechanical Ventilation.
  Critical Care Medicine.

• Cai, C.X., Hribar, M., Nishimura, A. (2025)
  Conflicting Results—Need for More Transparent and Reproducible Research.
  JAMA Ophthalmology.

• Cai, C. X., Nishimura, A. , Bowring, M. G., Westlund, E., Tran, D., Ng, J. H., Nagy, P., Cook, M., McLeggon, J.-A., DuVall, S. L., Matheny, M. E., Golozar, A., Ostropolets, A., Minty, E., Desai, P., Bu, F., Toy, B., Hribar, M., Falconer, T., Zhang, L., Lawrence-Archer, L., Boland, M. V., Goetz, K., Hall, N., Shoaibi, A., Reps, J., Sena, A. G., Blacketer, C., Swerdel, J., Jhaveri, K. D., Lee, E., Gilbert, Z., Zeger, S. L., Crews, D. C., Suchard, M. A., Hripcsak, G., and Ryan, P. B. (2024)
  Similar risk of kidney failure among patients with blinding diseases who receive ranibizumab, aflibercept, and bevacizumab: an Observational Health Data Sciences and Informatics network study.
  Ophthalmology Retina.

• Nishimura, A. , Xie, J., Kostka, K., Duarte-Salles, T., Bertolín, S. F., Aragón, M., Blacketer, C., Shoaibi, A., DuVall, S. L., Lynch, K., Matheny, M. E., Falconer, T., Morales D. R., Conover, M. M., You, S. C., Pratt, N., Weaver, J., Sena, A. G., Schuemie, M. J., Reps, J., Reich, C., Rijnbeek, P. R., Ryan, P. B., Hripcsak, G., Prieto-Alhambra, D., and Suchard M. A. (2022).
  International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients.
  Frontiers in Pharmacology.

Latest works in preprint

• Ding, X.*, Vadini, V., Kim, C., Bu, F., Chen, H. Y., Chai, Y., Duarte-Salles, T., Hsu, J. C., Khera, R., Lau, W. C., Man, K. K., Nagy, P., Ostropolets, A., Pistillo, A., Pratt, N., Roel, E., Seager, S., Van Zandt, M., Yuan, L., Hripcsak, G., Mathioudakis, N., Suchard, M. A., and Nishimura, A. (2026)
  Sex Differences in Comparative Effectiveness and Safety of Second-line Antidiabetic Agents: Real-world Evidence from Large-scale Multinational Study.

• Chin, A.* and Nishimura, A. (2025)
  Smoothing Out Sticking Points: Sampling from Discrete-Continuous Mixtures with Dynamical Monte Carlo by Mapping Discrete Mass into a Latent Universe.

• Chin, A.* and Nishimura, A. (2024)
  MCMC using bouncy Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers.