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20172023
most citedBAMBI: An R package for Fitting Bivariate Angular Mixture Models

11 citations · 19 across the 18 of their papers we have counts for

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Showing 2017Show all

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stat.AP2017

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…

stat.AP2017

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…

stat.AP2017

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…

stat.CO2017★ 11 cited

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…

stat.AP2017★ 2 cited

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…