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Shijia Wang

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I am a PhD candidate in Statistics at Simon Fraser University. My research focuses on computational statistics and statistical machine learning. Methodologically, I am particular interested in Monte Carlo methods such as Markov chain Monte Carlo (MCMC), sequential Monte Carlo (SMC). My favourite application arises from genetics, evolutionary biology, public health and fishery.

Education

Simon Fraser University2015-present

PhD Candidate in Statistics
Supervisor: Liangliang Wang

Memorial University of Newfoundland2013-2015

MSc in Statistics (Fellow of the School of Graduate Studies)
Supervisor: Noel Cadigan

Publications

L. Wang, S. Wang, A. Bouchard-Cote (2018). An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology (Accept with Major Revision).

J. Dong, S. Wang, L. Wang, J. Gill & J. Cao (2018). Joint Modelling for Organ Transplantation Outcomes for Patients with Diabetes and the End-Stage Renal Disease. Statistical Methods in Medical Research (In Press).

J. Liu, Y. Yu, Y. Zhao, J. Jia & S. Wang (2018). An efficient privacy preserving batch authentication scheme with deterable function for VANETs. In Proceedings of International Conference on Network and System Security (In press).

S. Wang, N. G. Cadigan, & H. P. Benoit (2017). Inference about regression parameters using highly stratified survey count data with over-dispersion and repeated measurements. Journal of Applied Statistics, 44(6), 1013-1030

N. G. Cadigan & S. Wang (2016). Local sensitivity of per recruit fishing mortality reference points. Journal of Biological Dynamics, 10(1), 525-545.

Submitted Manuscripts
  • An online sequential Monte Carlo algorithm for dynamic models with the zero-inflated negative binomial distribution. (With J. Zhang, S. Ge & L. Wang)
  • Sensitivity of maximum sustainable yield reference points. (With N. Zheng & N.G. Cadigan)
  • Pattern Discovery of Health Curves with an Ordered Probit Model. (With L. Wang, J. Sutherland & Y. Nie)
  • Cryptanalyis of simple matrix schemes for encryption. (With J. Liu, Y. Yu, B. Yang, J. Jia & H. Wang)
Awards & Achievement
  • Bursaries for LMS Invited Lecture Series and CRISM Summer School in Computational Statistics, UK
  • Graduate Fellowship, SFU
  • CD Nelson Memorial Graduate Entrance Scholarship, SFU
  • Provost Prize of Distinction, SFU
  • Special Graduate Entrance Scholarship, SFU
  • Fellow of the school of Graduate Studies, MUN
  • The title of Fellow of the School of Graduate Studies is awarded in recognition of outstanding academic achievement throughout a graduate program.
  • Student Travel award of Statistical Society of Canada, 2015
  • SGS Fellowship, MUN
Presentations & Posters
  • Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling, JSM 2018 (poster)
  • Subsampling sequential Monte Carlo algorithm for 'tall phylogenetic data' , LMS Invited Lecture Series and CRISM Summer School in Computational Statistics 2018 (poster)
  • Effective Bayesian phylogenetic inference via Particle Gibbs with Ancestor Sampling, School of Mathematic and Statistics, Yunnan University, 2017 (Invited)
  • Particle MCMC for Bayesian phylogenetics, ICSA Vancouver chapter 2017 (Invited)
  • An online sequential Monte Carlo EM algorithm for recommender system, SMC workshop, Sweden 2017 (poster)
  • Efficient Bayesian Phylogenetic inference via Particle Gibbs sampler, SFU Symposium on Mathematics and Computation 2017 (poster)
  • Pattern Discovery of Health Curves with an Ordered Probit Model and Functional PCA, JSM 2016
  • Ordinal healthcare data analysis using Bayesian smoothing and functional PCA, SFU Health Research Day 2016 (poster)
  • Inference about regression parameters using highly stratified survey count data with over-dispersion and repeated measurements, SSC 2015
  • Local sensitivity of per recruit fishing mortality reference points, Centre for Fisheries Ecosystems Research Research Advisory Committee Meeting, 2015
  • Inference about regression parameters using highly stratified survey count data with over-dispersion and repeated measurements, Department Seminar of MUN, 2014 (Invited)