Model Comparison in Approximate Bayesian Computation. (arXiv:2203.11276v1 [stat.ML]) http://arxiv.org/abs/2203.11276
Delicatessen: M-Estimation in Python. (arXiv:2203.11300v1 [stat.ME]) http://arxiv.org/abs/2203.11300
Origami in N dimensions: How feed-forward networks manufacture linear separability. (arXiv:2203.11355v1 [cs.LG]) http://arxiv.org/abs/2203.11355
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations. (arXiv:2203.11363v1 [stat.ML]) http://arxiv.org/abs/2203.11363
Sequential algorithmic modification with test data reuse. (arXiv:2203.11377v1 [stat.ML]) http://arxiv.org/abs/2203.11377
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. (arXiv:2203.11382v1 [cs.LG]) http://arxiv.org/abs/2203.11382
Causal inference in time series in terms of R\'enyi transfer entropy. (arXiv:2203.11407v1 [cs.IT]) http://arxiv.org/abs/2203.11407
Bayesian outcome selection modelling. (arXiv:2203.11439v1 [stat.ME]) http://arxiv.org/abs/2203.11439
Locally Adaptive Transfer Learning Algorithms for Large-Scale Multiple Testing. (arXiv:2203.11461v1 [stat.ME]) http://arxiv.org/abs/2203.11461
Efficient dependency models for some distributions. (arXiv:2203.10092v1 [stat.ME]) http://arxiv.org/abs/2203.10092
Introducing causal inference in the energy-efficient building design process. (arXiv:2203.10115v1 [stat.ME]) http://arxiv.org/abs/2203.10115
Bayesian structural learning of microbiota systems from count metagenomic data. (arXiv:2203.10118v1 [stat.ME]) http://arxiv.org/abs/2203.10118
A matching design for augmenting a randomized clinical trial with external control. (arXiv:2203.10128v1 [stat.ME]) http://arxiv.org/abs/2203.10128
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors. (arXiv:2203.10130v1 [stat.ME]) http://arxiv.org/abs/2203.10130
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. (arXiv:2203.10186v1 [stat.ML]) http://arxiv.org/abs/2203.10186
CausalDeepCENT: Deep Learning for Causal Prediction of Individual Event Times. (arXiv:2203.10207v1 [stat.AP]) http://arxiv.org/abs/2203.10207
Thompson Sampling on Asymmetric $\alpha$-Stable Bandits. (arXiv:2203.10214v1 [stat.ML]) http://arxiv.org/abs/2203.10214
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems. (arXiv:2203.10215v1 [math.OC]) http://arxiv.org/abs/2203.10215
Jackknife Partially Linear Model Averaging for the Conditional Quantile Prediction. (arXiv:2203.10248v1 [math.ST]) http://arxiv.org/abs/2203.10248
Outcome Assumptions and Duality Theory for Balancing Weights. (arXiv:2203.09557v1 [stat.ME]) http://arxiv.org/abs/2203.09557
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