Referred Articles (Published and Accepted)

Dang, U. J., Punzo, A., McNicholas, P. D., Ingrassia, S., and Browne, R. P. (2017) `Multivariate response and parsimony for Gaussian cluster-weighted models’.  Journal of Classification. 34 (4), 4–34. [doi]

Dang, U. J., Alison M Devault, Tatum D Mortimer, Caitlin S Pepperell, Hendrik N Poinar, G Brian Golding and Golding, G. B. (2016), `Estimation of gene insertion/deletion rates with missing data’. Genetics 204 (2), 513529. [doi]

Dang, U. J., and Golding, G. B. (2016), `markophylo: Markov chain analysis on phylogenetic trees ‘, Bioinformatics 32 (1), 130–132. [doi]

Dang, U. J., Browne, R. P., and McNicholas, P. D. (2015), `Mixtures of multivariate power exponential distributions’, Biometrics 71, 1081–1089 . [doi].

Dang, U. J. and McNicholas, P. D. (2015), `Families of parsimonious finite mixtures of regression models’, In: Morlini, I., Minerva, T. and Vichi, M., editors, Statistical Models for Data Analysis, Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing Switzerland. [doi]

Dang, U. J. and Bauch, C. T. (2011), `Can interactions between timing of vaccine-altered influenza pandemic waves and seasonality in influenza complications lead to more severe outcomes?’, PLoS ONE 6(8): e23580.

Dang, U. and Bauch, C. T. (2010), `A population biological approach to the collective dynamics of countries undergoing demographic transition’, Journal of Theoretical Biology 265(2), 167–176.


Utkarsh J. Dang and G. Brian Golding (2016). indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data. Package.

Utkarsh J. Dang and G. Brian Golding (2015). markophylo: Markov Chain Models for Phylogenetic Trees. Package. Vignette

Referred Articles (Submitted and in preparation)

Furman, B. L. S., Dang, U.J., Evans, B. J. and Golding, G. B. (2017) – Dynamic and differential purifying selection and pseudogenization in subgenomes of allopolyploid African clawed frogs (Xenopus).

Dang, U.J., Browne, R. P., and McNicholas, P. D. `Model-based clustering using skewed extensions of the power exponential distribution’.

Dang, U.J., Browne, R. P., and McNicholas, P. D. `Model-based clustering using mixtures of multivariate symmetric Kotz-type distributions’.

Dang, U. J. and McNicholas, P. D. `Accelerated failure time models for competing risks in a cluster-weighted modelling framework’.

Non-refereed contributions

Dang, U. J. (2014). Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models. University of Guelph.

Dang, U. J. (2011). Interactions Between Immunization Strategies and Pandemic Influenza Associated Severe Outcomes. University of Guelph.