arXiv Statistics @arxiv_stats@qoto.org

Discussion on "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" by Hahn, Murray and Carvalho. (arXiv:2108.02836v1 [stat.ME]) http://arxiv.org/abs/2108.02836

Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data. (arXiv:2108.02864v1 [econ.EM]) http://arxiv.org/abs/2108.02864

Interpolation can hurt robust generalization even when there is no noise. (arXiv:2108.02883v1 [stat.ML]) http://arxiv.org/abs/2108.02883

Optimal integrating learning for split questionnaire design type data. (arXiv:2108.02905v1 [stat.ME]) http://arxiv.org/abs/2108.02905

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. (arXiv:2108.03039v1 [cs.LG]) http://arxiv.org/abs/2108.03039

Path classification by stochastic linear recurrent neural networks. (arXiv:2108.03090v1 [stat.ML]) http://arxiv.org/abs/2108.03090

Localization in 1D non-parametric latent space models from pairwise affinities. (arXiv:2108.03098v1 [math.ST]) http://arxiv.org/abs/2108.03098

Beyond Cuts in Small Signal Scenarios - Enhanced Sneutrino Detectability Using Machine Learning. (arXiv:2108.03125v1 [hep-ph]) http://arxiv.org/abs/2108.03125

Minimax Boundary Estimation and Estimation with Boundary. (arXiv:2108.03135v1 [math.ST]) http://arxiv.org/abs/2108.03135

High dimensional Bayesian Optimization Algorithm for Complex System in Time Series. (arXiv:2108.02289v1 [cs.LG]) http://arxiv.org/abs/2108.02289

Deep Stable neural networks: large-width asymptotics and convergence rates. (arXiv:2108.02316v1 [cs.LG]) http://arxiv.org/abs/2108.02316

Adapting to Function Difficulty and Growth Conditions in Private Optimization. (arXiv:2108.02391v1 [cs.LG]) http://arxiv.org/abs/2108.02391

Robust Density Power Divergence Estimates for Panel Data Models. (arXiv:2108.02408v1 [stat.ME]) http://arxiv.org/abs/2108.02408

Divergent Effects of Factors on Crashes under Autonomous and Conventional Driving Modes Using A Hierarchical Bayesian Approach. (arXiv:2108.02422v1 [stat.AP]) http://arxiv.org/abs/2108.02422

PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction. (arXiv:2108.02424v1 [stat.AP]) http://arxiv.org/abs/2108.02424

AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network. (arXiv:2108.02431v1 [stat.ML]) http://arxiv.org/abs/2108.02431

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel. (arXiv:2108.02498v1 [stat.CO]) http://arxiv.org/abs/2108.02498

Shape Modeling with Spline Partitions. (arXiv:2108.02507v1 [stat.ML]) http://arxiv.org/abs/2108.02507

Improving the Power of Economic Experiments Using Adaptive Designs. (arXiv:2108.02526v1 [stat.ME]) http://arxiv.org/abs/2108.02526

Approximating Attributed Incentive Salience In Large Scale Scenarios. A Representation Learning Approach Based on Artificial Neural Networks. (arXiv:2108.01724v1 [cs.LG]) http://arxiv.org/abs/2108.01724