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Exponential Ergodicity of the Bouncy Particle Sampler. Annals of Statistics, 47, pp.1268–1287.
, 2019. A general theory for preferential sampling in environmental networks. Annals of Applied Statistics, pp.2662-2700.
, 2019. A General Theory for Preferential Sampling in Environmental Networks. Annals of Applied Statistics, p.Accepted.
, 2019. Likelihood Inference for Generalized Integer Autoregressive Time Series Models. EconometricS, 7, p.43.
, 2019. Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C, 68(1), p.198. Available at: https://dx.doi.org/10.1111/rssc.12286 .
, 2019. Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis, 131. Available at: https://arxiv.org/abs/1712.07265.
, 2019. Modelling ocean temperatures from bio-probes under preferential sampling. Annals of Applied Statistics, 13(2), pp.713-745. Available at: https://arxiv.org/abs/1901.02630.
, 2019. , 2019.
Multiple sclerosis: Effect of beta-interferon treatment on survival. Brain, 142, pp.1324-1333.
, 2019. A new perspective on the benefits of the gene-environment independence in case-control studies. The Canadian Journal of Statistics, 47, pp.473–486.
, 2019. Nonparametric estimation of multivariate tail probabilities and tail dependence coefficients. Journal of Multivariate Analysis, 172, pp.147-161.
, 2019. Prediction based on conditional distributions of vine copulas. Computational Statistics & Data Analysis, 139, pp.45-63.
, 2019. Prediction based on conditional distributions of vine copulas. Computational Statistics & Data Analysis, 139, pp.45–63.
, 2019. Robust elastic net estimators for variable selection and identification of proteomic biomarkers. Annals of Applied Statistics, 13(4), pp.2065-2090. Available at: http://dx.doi.org/10.1214/19-AOAS1269.
, 2019. Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. In International Conference on Machine Learning (ICML). International Conference on Machine Learning (ICML). pp. 1351–1360.
, 2019. On the selection of loss severity distributions to model operational risk. Journal of Operational Risk, 14, pp.73-94.
, 2019. Semiparametric inference for the dominance index under the density ratio model. Biometrika, 106, pp.229–241.
, 2019. Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics, 13, pp.1678-1707 .
, 2019. Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics, 13, pp.1678–1707.
, 2019. Small area quantile estimation. International Statistical Review, 87, pp.S219–S238.
, 2019. Small area quantile estimation via spline regression and empirical likelihood. Survey Methodology 45-1, 45, pp.81–99.
, 2019. Tail densities of skew-elliptical distributions. Journal of Multivariate Analysis, 171, pp.421-435.
, 2019. Untangling serially dependent underreported count data for gender-based violence. Statistics in Medicine, 38, pp.4404-4422.
, 2019. Vine copula structure learning via Monte Carlo tree search. In 22ND International Conference on Artificial Intelligence and Statistics, Vol 89. 22ND International Conference on Artificial Intelligence and Statistics, Vol 89. pp. 353-361.
, 2019. Vine Copula Structure Learning via Monte Carlo Tree Search. In International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics.
, 2019.