Samuel W. K. Wong

发表

Dimensional and statistical foundations for accumulated damage models

James V. Zidek, Samuel W. K. Wong, 2017, Wood Science and Technology.

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Shihao Yang, S. C. Kou, Samuel W. K. Wong, 2021, Proceedings of the National Academy of Sciences.

Sequential decision model for inference and prediction on nonuniform hypergraphs with application to knot matching from computational forestry

James V. Zidek, Samuel W.K. Wong, Seong-Hwan Jun, 2017, The Annals of Applied Statistics.

Assessing the Impacts of Mutations to the Structure of COVID-19 Spike Protein via Sequential Monte Carlo

Samuel W. K. Wong, 2020, Journal of Data Science.

Calibrating wood products for load duration and rate: a statistical look at three damage models

Samuel W. K. Wong, 2020, 2002.03537.

THE CONFORMATIONAL SPACE FOR PROTEIN FOLDING WITH SEQUENTIAL MONTE CARLO By

Jun S. Liu, Samuel W. K. Wong, S. Kou, 2017 .

Exploring the conformational space for protein folding with sequential Monte Carlo

Jun S. Liu, Samuel W. K. Wong, S. Kou, 2018, The Annals of Applied Statistics.

Fast de novo discovery of low‐energy protein loop conformations

Jun S. Liu, Samuel W. K. Wong, S. Kou, 2017, Proteins.

On the circular correlation coefficients for bivariate von Mises distributions on a torus

Samuel W. K. Wong, Saptarshi Chakraborty, 2018, Statistical Papers.

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Samuel W. K. Wong, S. Kou, Shihao Yang, 2020, Proceedings of the National Academy of Sciences.

Incidence of nonarteritic ischemic optic neuropathy following topical clear corneal cataract surgery: survey and meta-analysis.

Samuel W. K. Wong, A. Slomovic, Jasmine Z. Cheng, 2019, Canadian Journal of Ophthalmology-journal Canadien D Ophtalmologie.

Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo

Samuel W. K. Wong, Zhaoran Hou, 2022, 2210.14216.

Estimating and Assessing Differential Equation Models with Time-Course Data

Samuel W. K. Wong, S. Kou, Shihao Yang, 2022, 2212.10653.

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models

Samuel W. K. Wong, Saptarshi Chakraborty, 2017, J. Stat. Softw..

Conformational variability of loops in the SARS‐CoV‐2 spike protein

Samuel W. K. Wong, Zongjun Liu, 2021, Proteins.

Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation

Samuel W. K. Wong, Wanhua Su, John J. Chen, 2019, Clinical Ophthalmology.

Statistical Challenges in the Analysis of Sequence and Structure Data for the COVID-19 Spike Protein

Samuel W.K. Wong, Samuel W. K. Wong, Shiyu He, 2021, Journal of Data Science.

Functional Response of Tamarixia radiata (Hymenoptera: Eulophidae) to Densities of Its Host, Diaphorina citri (Hemiptera: Psylloidea)

Samuel W. K. Wong, P. Stansly, Xulin Chen, 2016, Annals of the Entomological Society of America.

Estimating and Assessing Differential Equation Models with Time-Course Data

Samuel W. K. Wong, S. Kou, Shihao Yang, 2022, The journal of physical chemistry. B.

Phenotype Spectrum reflects Synergies among the Cell Architecture over Stages of the Cell Cycle

Samuel W. K. Wong, S. Svoronos, Y. Tseng, 2020, bioRxiv.

Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo method

Ke Tang, Jinfeng Zhang, Samuel W. K. Wong, 2015, Bioinform..

Monte Carlo sampling of flexible protein structures: an application to the SARS-CoV-2 omicron variant (preprint)/ en

Samuel W. K. Wong, 2022, 2201.07775.

Extreme Value Analysis of Tropical Cyclone Trapped-Fetch Waves

Samuel W. K. Wong, A. MacAfee, 2007 .

A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada

Samuel W. K. Wong, Yuxuan Zhao, 2022, Scientific reports.

Comparing regional and provincial-wide COVID-19 models with physical distancing in British Columbia

Andy T.S. Wan, Geoffrey McGregor, Samuel W.K. Wong, 2021, AIMS Mathematics.

Bayesian analysis of coupled cellular and nuclear trajectories for cell migration

Samuel W. K. Wong, Saptarshi Chakraborty, Y. Tseng, 2021, Biometrics.

Where does Haydn end and Mozart begin? Composer classification of string quartets

Samuel W.K. Wong, Katherine C. Kempfert, Samuel W. K. Wong, 2018, Journal of New Music Research.

The Duration of Load Effect in Lumber as Stochastic Degradation

James V. Zidek, Samuel W.K. Wong, Samuel W. K. Wong, 2017, IEEE Transactions on Reliability.

A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations

Samuel W. K. Wong, Peijun Sang, Mingwei Xu, 2023, 2304.02127.

A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification

Cuixian Chen, Samuel W.K. Wong, Katherine C. Kempfert, 2019, Intell. Data Anal..

Sequential Graph Matching with Sequential Monte Carlo

Samuel W. K. Wong, Alexandre Bouchard-Côté, Seong-Hwan Jun, 2017, AISTATS.

Appendix : Sequential Graph Matching with Sequential Monte Carlo

Samuel W. K. Wong, J. Zidek, A. Bouchard-Côté, 2017 .

Conformational variability of loops in the SARS‐CoV‐2 spike protein

Samuel W. K. Wong, Zongjun Liu, 2021, Proteins.

Neural network and logistic regression diagnostic prediction models for giant cell arteritis: development and validation

Samuel W. K. Wong, Wanhua Su, John J. Chen, 2019, Clinical ophthalmology.

Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images pdf

Shuxian Fan, Samuel W.K. Wong, Helge Rhodin, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations

Samuel W. K. Wong, Peijun Sang, Mingwei Xu, 2023, Journal of Computational and Graphical Statistics.