arXiv Statistics @arxiv_stats@qoto.org

Estimating Demand Flexibility Using Siamese LSTM Neural Networks. (arXiv:2109.01258v1 [cs.LG]) http://arxiv.org/abs/2109.01258

Statistical Estimation and Inference via Local SGD in Federated Learning. (arXiv:2109.01326v1 [stat.ML]) http://arxiv.org/abs/2109.01326

Regularized tapered sample covariance matrix. (arXiv:2109.01353v1 [stat.ME]) http://arxiv.org/abs/2109.01353

Sample Noise Impact on Active Learning. (arXiv:2109.01372v1 [stat.ML]) http://arxiv.org/abs/2109.01372

Frequency-Severity Experience Rating based on Latent Markovian Risk Profiles. (arXiv:2109.01413v1 [stat.AP]) http://arxiv.org/abs/2109.01413

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. (arXiv:2109.01433v1 [stat.ML]) http://arxiv.org/abs/2109.01433

Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review. (arXiv:2109.01450v1 [stat.AP]) http://arxiv.org/abs/2109.01450

Wasserstein GANs with Gradient Penalty Compute Congested Transport. (arXiv:2109.00528v1 [cs.LG]) http://arxiv.org/abs/2109.00528

Under-bagging Nearest Neighbors for Imbalanced Classification. (arXiv:2109.00531v1 [stat.ML]) http://arxiv.org/abs/2109.00531

Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. (arXiv:2109.00538v1 [stat.ML]) http://arxiv.org/abs/2109.00538

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. (arXiv:2109.00539v1 [stat.ME]) http://arxiv.org/abs/2109.00539

Active Inference and Epistemic Value in Graphical Models. (arXiv:2109.00541v1 [stat.ML]) http://arxiv.org/abs/2109.00541

Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. (arXiv:2109.00582v1 [stat.ML]) http://arxiv.org/abs/2109.00582

Dash: Semi-Supervised Learning with Dynamic Thresholding. (arXiv:2109.00650v1 [cs.LG]) http://arxiv.org/abs/2109.00650

Bayesian Detectability of Induced Polarisation in Airborne Electromagnetic Data using Reversible Jump Sequential Monte Carlo. (arXiv:2109.00661v1 [stat.AP]) http://arxiv.org/abs/2109.00661

Big data, big problems: Responding to "Are we there yet?". (arXiv:2109.00680v1 [stat.AP]) http://arxiv.org/abs/2109.00680

Excess Capacity and Backdoor Poisoning. (arXiv:2109.00685v1 [cs.LG]) http://arxiv.org/abs/2109.00685

Half-Space and Box Constraints as NUV Priors: First Results. (arXiv:2109.00036v1 [stat.ML]) http://arxiv.org/abs/2109.00036

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. (arXiv:2109.00046v1 [stat.ML]) http://arxiv.org/abs/2109.00046

Use of alternative data: High frequency readout of the situation -- COVID policies, mobility, and R-Number. (arXiv:2109.00050v1 [stat.AP]) http://arxiv.org/abs/2109.00050