Publications by Department Members
2021
Parallel Tempering on Optimized Paths. In International Conference on Machine Learning (ICML). 2021. .
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme. Journal of Royal Statistical Society, Series B. 2021; (Accepted). .
Approximately Optimal Subset Selection for Statistical Design and Modelling. Journal of Statistical Computation and Simulation. 2021;: 1-13. .
Empirical likelihood ratio test on quantiles under a density ratio model. Electronic Journal of Statistics [Internet]. 2021; 15(2): 6191-6227. URL: https://doi.org/10.1214/21-EJS1943 .
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures. arXiv preprint arXiv:2107.01323. 2021;. .
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler. Journal of Machine Learning Research. 2021; 22: 1–41. .
2020
Robust estimation for semi-functional linear regression models. Computational Statistics and Data Science [Internet]. 2020; 152. DOI: 10.1016/j.csda.2020.107041 URL: https://arxiv.org/abs/2006.16156 Software: https://github.com/msalibian/RobustFPLM .
Copula diagnostics for asymmetries and conditional dependence. Journal of Applied Statistics. 2020; 47: 1587-1615. DOI: 10.1080/02664763.2019.1685080, Early Access Date = NOV 2019 .
Homogeneity testing under finite location-scale mixtures. Canadian Journal of Statistics. John Wiley & Sons, Inc. Hoboken, USA; 2020; 48: 670–684. .
Vine copula regression for observational studies. ASTA-Advances in Statistical Analysis. 2020; 104: 141-167. DOI: 10.1007/s10182-019-00353-5 .
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates. Annals of Applied Probability. 2020; (Accepted). .
Compressed and penalized linear regression. Journal of Computational and Graphical Statistics [Internet]. 2020; 29: 309–322. URL: https://doi.org/10.1080/10618600.2019.1660179 .
Dealing with treatment-confounder feedback and sparse follow-up in longitudinal studies - application of a marginal structural model in a multiple sclerosis cohort. . American Journal of Epidemiology. 2020; 189: To appear. .
Flexible copula models with dynamic dependence and application to financial data. Econometrics and Statistics. 2020; 16: 148-167. DOI: 10.1016/j.ecosta.2020.01.005 .
Scientific versus statistical modelling: a unifying approach. arXiv preprint arXiv:2002.11259. 2020 . .
Book Review: Sufficient Dimension Reduction: Methods and Applications with R. Journal of the American Statistical Association [Internet]. 2020; 115. URL: https://doi.org/10.1080/01621459.2020.1759990 .
Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images. arXiv preprint arXiv:2011.04844. 2020 . .
Should the number of acute exacerbations in the previous year be used to guide treatments in COPD? . European Journal of Epidemiology. 2020; 35: To appear. .
Spatio-temporal downscaling for continental scale estimation of air pollution concentrations. Journal of the Royal Statistical Society: Series C. 2020;: Submitted. .
Approximately Optimal Spatial Design: How Good is it?. Spatial Statistics. 2020; 37: 100409. .
Small area mean estimation after effect clustering. Journal of Applied Statistics. Taylor & Francis; 2020; 47: 602–623. .
A three-parameter logistic regression model. Statistical Theory and Related Fields. Taylor & Francis; 2020;: 1–10. .
Slice Sampling for General Completely Random Measures. In Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI). 2020. pp. 699–708. .
2019
clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancers. Genome Biology. 2019; (Accepted). .
clonealign: statistical integration of independent single-cell RNA and DNA-seq from human cancers. Genome Biology. 2019; 20: 1–12. .
Prediction based on conditional distributions of vine copulas. Computational Statistics & Data Analysis. 2019; 139: 45-63. DOI: 10.1016/j.csda.2019.04.015 .
Vine copula structure learning via Monte Carlo tree search. In: . 22ND International Conference on Artificial Intelligence and Statistics, Vol 89. 2019. pp. 353-361. .
Prediction based on conditional distributions of vine copulas. Computational Statistics & Data Analysis. 2019; 139: 45–63. .
Vine Copula Structure Learning via Monte Carlo Tree Search. In International Conference on Artificial Intelligence and Statistics. 2019. .
AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. In International Conference on Learning Representations [Internet]. 2019. URL: https://openreview.net/forum?id=ryxepo0cFX .
A discussion of ‘prior-based Bayesian information criterion’. Statistical Theory and Related Fields. 2019;: 1–3. .
Small area quantile estimation via spline regression and empirical likelihood. Survey Methodology 45-1. 2019; 45: 81–99. .
Small area quantile estimation. International Statistical Review. 2019; 87: S219–S238. .
Robust elastic net estimators for variable selection and identification of proteomic biomarkers. Annals of Applied Statistics [Internet]. 2019; 13(4): 2065-2090. DOI: 10.1214/19-AOAS1269 URL: http://dx.doi.org/10.1214/19-AOAS1269 Software: https://cran.r-project.org/package=pense .
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. In International Conference on Machine Learning (ICML). 2019. pp. 1351–1360. .
Exponential Ergodicity of the Bouncy Particle Sampler. Annals of Statistics. 2019; 47: 1268–1287. .
Methods for preferential sampling in geostatistics. Journal of the Royal Statistical Society Series C [Internet]. 2019; 68(1): 198. DOI: 10.1111/rssc.12286 URL: https://dx.doi.org/10.1111/rssc.12286 Software: https://github.com/msalibian/PreferentialSampling .
Modelling ocean temperatures from bio-probes under preferential sampling. Annals of Applied Statistics [Internet]. 2019; 13(2): 713-745. DOI: 10.1214/18-AOAS1217 URL: https://arxiv.org/abs/1901.02630 Software: https://github.com/msalibian/PreferentialMovement .
Untangling serially dependent underreported count data for gender-based violence. Statistics in Medicine. 2019; 38: 4404-4422. DOI: 10.1002/sim.8306, Early Access Date = JUL 2019 .
Model-based curve registration via stochastic approximation EM algorithm. Computational Statistics and Data Analysis [Internet]. 2019; 131. URL: https://arxiv.org/abs/1712.07265 .
On the selection of loss severity distributions to model operational risk. Journal of Operational Risk. 2019; 14: 73-94. DOI: 10.21314/JOP.2019.229 .
Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine. 2019; 38: 3669-3681. .
Likelihood Inference for Generalized Integer Autoregressive Time Series Models. EconometricS. 2019; 7: 43. DOI: 10.3390/econometrics7040043 .
Tail densities of skew-elliptical distributions. Journal of Multivariate Analysis. 2019; 171: 421-435. DOI: 10.1016/j.jmva.2019.01.009 .
Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics. 2019; 13: 1678-1707 . .
Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. Annals of Applied Statistics. 2019; 13: 1678–1707. .
Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical Methods in Medical Research. 2019; 28: 323-324 . .
Algorithms for Estimating Trends in Global Temperature Volatility. In: . Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19) [Internet]. Association for the Advancement of Artificial Intelligence; 2019. URL: https://doi.org/10.1609/aaai.v33i01.3301614 .
Multiple sclerosis: Effect of beta-interferon treatment on survival. Brain. 2019; 142: 1324-1333. .