Publications
S. Golchi, K. Thorlund. (2018) Sequential Monte Caro for Response Adaptive Randomized Trials. Biostatistics. In press.
S. Golchi, J. Loeppky. Space Filing Designs for Constrained Domains. SIAM/ASA Journal of Uncertainty Quantification. Revisions requested.
S. Golchi and R. Lockhart. (2018) A Bayesian Approach for Hypothesis Testing in Particle Physics. Annals of Applied Statistics. In press.
S. Golchi. (2018) Informative Priors in Bayesian Inference and Computation. ASA Journal of Statistical Analysis and Data Mining. https://doi.org/10.1002/sam.11371.
K. Thorlund, S. Golchi, E. Mills. (2017) Bayesian Adaptive Clinical Trials of Combination Treatments. Contemporary Clinical Trials Communications, 8, pp. 227-233.
S. Golchi (2016). Informative Priors and Bayesian Computation. in The Proceedings of IEEE Data Science and Advanced Analysis 2016. pp. 782-789.
S. Golchi and D.A. Campbell (2016). Sequentially Constrained Monte Carlo. Computational Statistics and Data Analysis. 97, pp. 98-113.
S. Golchi, D. Bingham, H. Chipman, and D.A. Campbell (2015). Monotone Emulation of Computer Experiments. SIAM/ASA Journal of Uncertainty Quantification. 3-1, pp. 370-392.
S. Golchi (2014). Bayesian Computational Methods and Applications. PhD Thesis.
Code SMC.RAR R package. Implementation of sequential Monte Carlo for simulating response adaptive randomized trials.
Bayesian models for clinical trials with combination treatments. Private repository; access may be provided at request.