Stability for layer points. (arXiv:2109.01701v1 [math.ST]) http://arxiv.org/abs/2109.01701
Bayesian Estimation of the Degrees of Freedom Parameter of the Student-$t$ Distribution---A Beneficial Re-parameterization. (arXiv:2109.01726v1 [stat.ME]) http://arxiv.org/abs/2109.01726
Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure. (arXiv:2109.01730v1 [cs.LG]) http://arxiv.org/abs/2109.01730
Acceleration Method for Learning Fine-Layered Optical Neural Networks. (arXiv:2109.01731v1 [cs.LG]) http://arxiv.org/abs/2109.01731
Privacy of synthetic data: a statistical framework. (arXiv:2109.01748v1 [cs.CR]) http://arxiv.org/abs/2109.01748
Model retraining and information sharing in a supply chain with long-term fluctuating demands. (arXiv:2109.01784v1 [physics.soc-ph]) http://arxiv.org/abs/2109.01784
Node Feature Kernels Increase Graph Convolutional Network Robustness. (arXiv:2109.01785v1 [cs.LG]) http://arxiv.org/abs/2109.01785
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. (arXiv:2109.01876v1 [cs.LG]) http://arxiv.org/abs/2109.01876
A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks. (arXiv:2109.01881v1 [stat.ME]) http://arxiv.org/abs/2109.01881
Confidence Distribution and Distribution Estimation for Modern Statistical Inference. (arXiv:2109.01898v1 [stat.ME]) http://arxiv.org/abs/2109.01898
Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized HIV Treatment Strategies. (arXiv:2109.01218v1 [stat.AP]) http://arxiv.org/abs/2109.01218
Robust confidence distributions from proper scoring rules. (arXiv:2109.01219v1 [stat.ME]) http://arxiv.org/abs/2109.01219
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. (arXiv:2109.01246v1 [stat.AP]) http://arxiv.org/abs/2109.01246
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
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