TACTiS: Transformer-Attentional Copulas for Time Series. (arXiv:2202.03528v1 [cs.LG]) http://arxiv.org/abs/2202.03528
Estimands and their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions. (arXiv:2202.03531v1 [stat.ME]) http://arxiv.org/abs/2202.03531
Causal inference from treatment-control studies having an additional factor with unknown assignment mechanism. (arXiv:2202.03533v1 [stat.ME]) http://arxiv.org/abs/2202.03533
Valid confidence intervals for $\mu , \sigma $ when there is only one observation available. (arXiv:2202.03556v1 [math.ST]) http://arxiv.org/abs/2202.03556
Constructing Large Nonstationary Spatio-Temporal Covariance Models via Compositional Warpings. (arXiv:2202.03560v1 [stat.ME]) http://arxiv.org/abs/2202.03560
Likelihood-based Inference for Exponential-Family Random Graph Models via Linear Programming. (arXiv:2202.03572v1 [stat.CO]) http://arxiv.org/abs/2202.03572
Conformal prediction for the design problem. (arXiv:2202.03613v1 [cs.LG]) http://arxiv.org/abs/2202.03613
Discovering Distribution Shifts using Latent Space Representations. (arXiv:2202.02339v1 [cs.LG]) http://arxiv.org/abs/2202.02339
Statistical Methods for Accommodating Immortal Time: A Selective Review and Comparison. (arXiv:2202.02369v1 [stat.AP]) http://arxiv.org/abs/2202.02369
Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport. (arXiv:2202.02379v1 [physics.med-ph]) http://arxiv.org/abs/2202.02379
BAM: Bayes with Adaptive Memory. (arXiv:2202.02405v1 [cs.LG]) http://arxiv.org/abs/2202.02405
An Experimental Design Approach for Regret Minimization in Logistic Bandits. (arXiv:2202.02407v1 [stat.ML]) http://arxiv.org/abs/2202.02407
OMLT: Optimization & Machine Learning Toolkit. (arXiv:2202.02414v1 [stat.ML]) http://arxiv.org/abs/2202.02414
Generalized Causal Tree for Uplift Modeling. (arXiv:2202.02416v1 [stat.ME]) http://arxiv.org/abs/2202.02416
On Neural Differential Equations. (arXiv:2202.02435v1 [cs.LG]) http://arxiv.org/abs/2202.02435
Linear Model with Local Differential Privacy. (arXiv:2202.02448v1 [cs.CR]) http://arxiv.org/abs/2202.02448
One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification. (arXiv:2202.02464v1 [math.ST]) http://arxiv.org/abs/2202.02464
Incorporating Sum Constraints into Multitask Gaussian Processes. (arXiv:2202.01793v1 [stat.ML]) http://arxiv.org/abs/2202.01793
Misspecification Tests on Models of Random Graphs. (arXiv:2202.01825v1 [math.ST]) http://arxiv.org/abs/2202.01825
Transport Score Climbing: Variational Inference using Forward KL and Adaptive Neural Transport. (arXiv:2202.01841v1 [stat.ML]) http://arxiv.org/abs/2202.01841
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