11 citations · 19 across the 18 of their papers we have counts for
22 papers
A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations
Mingwei Xu, Samuel W. K. Wong, Peijun Sang
Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation m…
A Kriging Metamodel with Adaptive Sampling for Seismic Evaluation of Podium Buildings
Yuying Huang, Zhiyong Chen, Samuel W. K. Wong
In this paper, nonlinear time-history dynamic analyses of selected earthquake ground motions are conducted on designated wood-frame podium buildings and the resulting inter-story d…
Estimating and Assessing Differential Equation Models with Time-Course Data
Samuel W. K. Wong, Shihao Yang, S. C. Kou
Ordinary differential equation (ODE) models are widely used to describe chemical or biological processes. This article considers the estimation and assessment of such models on the…
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo
Zhaoran Hou, Samuel W. K. Wong
Sequential Monte Carlo (SMC) methods are widely used to draw samples from intractable target distributions. Particle degeneracy can hinder the use of SMC when the target distributi…
A Comparative Study of Compartmental Models for COVID-19 Transmission in Ontario, Canada
Yuxuan Zhao, Samuel W. K. Wong
The number of confirmed COVID-19 cases reached over 1.3 million in Ontario, Canada by June 4, 2022. The continued spread of the virus underlying COVID-19 has been spurred by the em…
MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes
Samuel W. K. Wong, Shihao Yang, S. C. Kou
This article presents the MAGI software package for the inference of dynamic systems. The focus of MAGI is on dynamics modeled by nonlinear ordinary differential equations with unk…
Monte Carlo sampling of flexible protein structures: an application to the SARS-CoV-2 omicron variant
Samuel W. K. Wong
Proteins can exhibit dynamic structural flexibility as they carry out their functions, especially in binding regions that interact with other molecules. For the key SARS-CoV-2 spik…
Multimodel Bayesian Analysis of Load Duration Effects in Lumber Reliability
Yunfeng Yang, Martin Lysy, Samuel W. K. Wong
This paper evaluates the reliability of lumber, accounting for the duration-of-load (DOL) effect under different load profiles based on a multimodel Bayesian approach. Three indivi…
Conformational variability of loops in the SARS-CoV-2 spike protein
Samuel W. K. Wong, Zongjun Liu
The SARS-CoV-2 spike (S) protein facilitates viral infection, and has been the focus of many structure determination efforts. Its flexible loop regions are known to be involved in…
Comparing regional and provincial-wide COVID-19 models with physical distancing in British Columbia
Geoffrey McGregor, Jennifer Tippett, Andy T. S. Wan +2
We study the effects of physical distancing measures for the spread of COVID-19 in regional areas within British Columbia, using the reported cases of the five provincial Health Au…
Statistical challenges in the analysis of sequence and structure data for the COVID-19 spike protein
Shiyu He, Samuel W. K. Wong
As the major target of many vaccines and neutralizing antibodies against SARS-CoV-2, the spike (S) protein is observed to mutate over time. In this paper, we present statistical ap…
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images
Shenyi Pan, Shuxian Fan, Samuel W. K. Wong +2
While general object detection has seen tremendous progress, localization of elliptical objects has received little attention in the literature. Our motivating application is the d…
Assessing the impacts of mutations to the structure of COVID-19 spike protein via sequential Monte Carlo
Samuel W. K. Wong
Proteins play a key role in facilitating the infectiousness of the 2019 novel coronavirus. A specific spike protein enables this virus to bind to human cells, and a thorough unders…
Calibrating wood products for load duration and rate: A statistical look at three damage models
Samuel W. K. Wong
Lumber and wood-based products are versatile construction materials that are susceptible to weakening as a result of applied stresses. To assess the effects of load duration and ra…
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification
Katherine C. Kempfert, Yishi Wang, Cuixian Chen +1
Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine lear…
Where Does Haydn End and Mozart Begin? Composer Classification of String Quartets
Katherine C. Kempfert, Samuel W. K. Wong
For centuries, the history and music of Joseph Franz Haydn and Wolfgang Amadeus Mozart have been compared by scholars. Recently, the growing field of music information retrieval (M…
On the circular correlation coefficients for bivariate von Mises distributions on a torus
Saptarshi Chakraborty, Samuel W. K. Wong
This paper studies circular correlations for the bivariate von Mises sine and cosine distributions. These are two simple and appealing models for bivariate angular data with five p…
Sequential Decision Model for Inference and Prediction on Non-Uniform Hypergraphs with Application to Knot Matching from Computational Forestry
Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek +1
In this paper, we consider the knot matching problem arising in computational forestry. The knot matching problem is an important problem that needs to be solved to advance the sta…
The duration of load effect in lumber as stochastic degradation
Samuel W. K. Wong, James V. Zidek
This paper proposes a gamma process for modelling the damage that accumulates over time in the lumber used in structural engineering applications when stress is applied. The model…
Dimensional and statistical foundations for accumulated damage models
Samuel W. K. Wong, James V. Zidek
This paper develops a framework for creating damage accumulation models for engineered wood products by invoking the classical theory of non--dimensionalization. The result is a ge…
BAMBI: An R package for Fitting Bivariate Angular Mixture Models
Saptarshi Chakraborty, Samuel W. K. Wong
Statistical analyses of directional or angular data have applications in a variety of fields, such as geology, meteorology and bioinformatics. There is substantial literature on de…
Bayesian analysis of accumulated damage models in lumber reliability
Chun-Hao Yang, James V. Zidek, Samuel W. K. Wong
Wood products that are subjected to sustained stress over a period of long duration may weaken, and this effect must be considered in models for the long-term reliability of lumber…