Google Scholar

For a complete list of publications, please see my Google scholar page here.

 

 

Journal Articles

Luo, Y., Graham, D. J., McCoy, E. J. (2023) Semiparametric Bayesian doubly robust causal estimation. Journal of Statistical Planning and Inference, 225, 171-187.

Luo, Y., Stephens, D. A., Buckeridge, D. L. (2023) Bayesian clustering for continuous-time hidden Markov models. Canadian Journal of Statistics, 51(1), 134-156.

Luo, Y., Stephens, D. A. (2021) Bayesian inference for continuous-time hidden Markov models with an unknown number of states. Statistics and Computing, 31(5), 57.

Luo, Y., Stephens, D. A., Verma, A., Buckeridge, D. L. (2021) Bayesian latent multi-state modeling for non-equidistant longitudinal electronic health records. Biometrics, 77(1), 78-90.

Yuan, M., Boston-Fisher, N., Luo, Y., Verma, A., Buckeridge, D. L. (2019) A systematic review of the aberration detection algorithms used in public health surveillance. Journal of Biomedical Informatics, 94, 103181.

Luo, Y., Stephens, D. A., Buckeridge, D. L. (2018) Estimating prevalence using indirect information and Bayesian evidence synthesis. Canadian Journal of Statistics, 46(4), 673-689.

 

 

Conference Proceedings

Powell, G. A., Verma, A., Luo, Y., Stephens, D. A., Buckeridge, D. L. (2019) Modeling chronic obstructive pulmonary disease progression using continuous-time hidden Markov models. Studies in Health Technology and Informatics, 264, 920-924.

Powell, G. A., Luo, Y., Verma, A., Stephens, D. A., Buckeridge, D. L. (2017) Multivariate and longitudinal health system indicators. Studies in Health Technology and Informatics, 235, 266-270.

 

 

Preprints

Luo, Y., Stephens, D. A., Graham, D. J., McCoy, E. J. (2023) Assessing the validity of Bayesian inference using loss functions. Preprint, arXiv:2103.04086.