Krupskii, P. et al., 2018. Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Huesler-Reiss distribution. Journal of Multivariate Analysis, 163, pp.80-95.

Krupskii, P., Huser, R. & Genton, M., 2018. Factor copula models for replicated spatial data. Journal of the American Statistical Association,, to appear.

Chang, B. et al., 2018. Generating Handwritten Chinese Characters Using CycleGAN. In IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision.

Shupler, M. et al., 2018. Global estimation of exposure to fine particulate matter (PM2. 5) from household air pollution. Environment international, 120, pp.354–363.

Kepplinger, D., Smucler, E. & Freue, G.V.Cohen, 2018. Improved Robust Estimation of the Residual Scale in High-Dimensional Problems with the Adaptive Elastic Net S-Estimator for Efficient Robust Penalized Linear Regression Methods. In JSM 2018. JSM 2018. 08/2018. Vancouver, Canada.

Kepplinger, D. & Freue, G.V.Cohen, 2018. Improving the Robust Estimation of the Residual Scale in High Dimensional Regression Problems with Refitted Cross-Validation using an Elastic Net S-Estimator. In 46th Annual Meeting of the Statistical Society of Canada. 46th Annual Meeting of the Statistical Society of Canada. 06/2018. Montreal, Canada.

Ardiel, E.L. et al., 2018. Insights into the roles of CMK-1 and OGT-1 in interstimulus interval-dependent habituation in Caenorhabditis elegans. Proceedings of the Royal Society B, 285, p.20182084.

Zhang, A. & others, , 2018. Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer. Cell, 173, pp.1755–1769.

Zhang, A. & others, , 2018. Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer. Cell, (Accepted).

Yu, T., Wu, L. & Gilbert, P., 2018. A joint model for mixed and censored longitudinal data and survival data, with application to HIV vaccine studies. Biostatistics, 19(3).

Krupskii, P. & Genton, M., 2018. Linear Factor Copula Models and Their Properties. Scandinavian Journal of Statistics, to appear.

Zhang, H. & Wu, L., 2018. A Mechanistic Nonlinear Model for Truncated and Mis-Measured Time-varying Covariates in Survival Models, with Applications in HIV/AIDS. Journal of the Royal Statistical Society, C.

Dinsdale, D.R. & Salibian-Barrera, M., 2018. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C.

Högg, T. et al., 2018. Mining healthcare data for markers of the multiple sclerosis prodrome. Multiple Sclerosis and Related Disorders.

Fu, E. & Heckman, N., 2018. Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis, to appear. Available at: https://arxiv.org/abs/1712.07265.

Zhou, G. & Wu, L., 2018. Modeling semi-continuous longitudinal data with order constraints. Statistics in Medicine.

Zhao, B. et al., 2018. Modular Generative Adversarial Networks. In European Conference on Computer Vision. European Conference on Computer Vision.

Dorri, F. et al., 2018. MuClone: somatic mutation detection and classification through probabilistic integration of clonal population information. Communications Biology, 2, pp.1–10.

Dorri, F. et al., 2018. MuClone: somatic mutation detection and classification through probabilistic integration of clonal population information. Communications Biology , 2.

Chang, B. et al., 2018. Multi-level Residual Networks from Dynamical Systems View. In International Conference on Learning Representations. International Conference on Learning Representations. Available at: https://openreview.net/forum?id=SyJS-OgR-.

Zhu, G. & Chen, J., 2018. Multi-Parameter One-Sided Monitoring Tests. Technometrics, 60, pp.398–407.

Lee, D. & Joe, H., 2018. Multivariate extreme value copulas with factor and tree dependence structures. Extremes, 21, pp.147-176.

Joe, H., 2018. Parsimonious graphical dependence models constructed from vines. Canadian Journal of Statistics, 46, pp.532-555.

Bierkens, J. et al., 2018. Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains. Statistics and Probability Letters, 136, pp.148–154.

Campbell, K., Bouchard-Côté, A. & Shah, S., 2018. Probabilistic inference of clonal gene expression through integration of RNA & DNA-seq at single-cell resolution. In HitSeq. HitSeq.