Liangliang Wang

Orcid: 0000-0002-8509-7985

Affiliations:
  • Simon Fraser University, Department of Statistics and Actuarial Science, Burnaby, BC, Canada
  • University of British Columbia, Department of Statistics, Canada (former)


According to our database1, Liangliang Wang authored at least 17 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Generalized Bayesian multidimensional scaling and model comparison.
Stat. Comput., June, 2026

2025
Robust Bayesian functional principal component analysis.
Stat. Comput., April, 2025

2024
A switching state-space transmission model for tracking epidemics and assessing interventions.
Comput. Stat. Data Anal., 2024

2022
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction.
J. Comput. Graph. Stat., October, 2022

Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo.
J. Comput. Graph. Stat., January, 2022

2021
Particle Gibbs sampling for Bayesian phylogenetic inference.
Bioinform., 2021

2019
Weighted empirical likelihood inference for dynamical correlations.
Comput. Stat. Data Anal., 2019

Bayesian inference of mixed-effects ordinary differential equations models using heavy-tailed distributions.
Comput. Stat. Data Anal., 2019

Efficient computation of the kinship coefficients.
Bioinform., 2019

2018
Supervised functional principal component analysis.
Stat. Comput., 2018

Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes.
Monte Carlo Methods Appl., 2018

Detecting Introgression in Anopheles Mosquito Genomes Using a Reconciliation-Based Approach.
Proceedings of the Comparative Genomics - 16th International Conference, 2018

2017
Estimating functional linear mixed-effects regression models.
Comput. Stat. Data Anal., 2017

Fitting a Stochastic Model to Eye Movement Time Series in a Categorization Task.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2014
Efficient Continuous-Time Markov Chain Estimation.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
Estimating curves and derivatives with parametric penalized spline smoothing.
Stat. Comput., 2012

Entangled Monte Carlo.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012


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