Forest Products Stochastic Modeling Group

Since 2009, more than 60 researchers have been a part of this group, studying the properties of wood products, working on projects such as the development of engineering standards, monitoring for changes in product properties over time, subset selection methods for species grouping in the marketing of lumber and the duration of load effect in construction. The group is made up of  statisticians from UBC and SFU - faculty, students and staff - and collaborating scientists at FPInnovations Vancouver, funded by Collaborative Research and Development Grants awards under NSERC’s Forest Sector R & D Initiative. 

Forest products have a complex variability and, as a biomaterial, are inherently stochastic. Therefore, the group has analyzed forest product data using advanced statistical  methods in areas such as survey sampling, survival analysis, nonparametric Bayesian analysis and the handling of big data.  The group has made novel contributions to statistical science that transfer to other domains and has solved long standing problems in wood science.  And something that rarely is the case - statisticians have run their own experiments and data collection. 

Read more about the Forest Products Stochastic Modeling Group.