Export 6 results:
Filters: Author is Hui, Francis K. C. [Clear All Filters]
Multi-species distribution modeling using penalized mixture of regressions. The Annals of Applied Statistics [Internet]. 2015 ;9(2):866 - 882. Available from: http://projecteuclid.org/euclid.aoas/1437397115
. Mixture models for multi-species and environmental data. [Internet]. 2014 . Available from: http://www.ibs-italy.info/ibc-2014.html
. Model-based approaches to unconstrained ordination . Methods in Ecology and Evolution [Internet]. 2014 :n/a - n/a. Available from: http://doi.wiley.com/10.1111/2041-210X.12236
. Tuning Parameter Selection for the Lasso Regression using ERIC. Journal of the American Statistical Association [Internet]. 2014 :00 - 00. Available from: http://www.tandfonline.com/doi/abs/10.1080/01621459.2014.951444
. Finite mixture of regression modeling for high-dimensional count and biomass data in ecology. Journal of Agricultural, Biological, and Environmental Statistics [Internet]. 2013 ;18(3):357 - 375. Available from: http://link.springer.com/10.1007/s13253-013-0146-x
. To mix or not to mix: comparing the predictive performance of mixture models vs. separate species distribution models. Ecology [Internet]. 2013 ;94(9):1913 - 1919. Available from: http://www.esajournals.org/doi/abs/10.1890/12-1322.1
.