arXiv Statistics @arxiv_stats@qoto.org

Interpretational errors in statistical causal inference. (arXiv:2312.07610v1 [stat.ME]) http://arxiv.org/abs/2312.07610

Evaluating the Alignment of a Data Analysis between Analyst and Audience. (arXiv:2312.07616v1 [stat.ME]) http://arxiv.org/abs/2312.07616

Estimating Causal Impacts of Scaling a Voluntary Policy Intervention. (arXiv:2312.07619v1 [stat.ME]) http://arxiv.org/abs/2312.07619

Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply. (arXiv:2312.07636v1 [cs.LG]) http://arxiv.org/abs/2312.07636

Bayesian Online Learning for Consensus Prediction. (arXiv:2312.07679v1 [cs.LG]) http://arxiv.org/abs/2312.07679

On Rosenbaum's Rank-based Matching Estimator. (arXiv:2312.07683v1 [math.ST]) http://arxiv.org/abs/2312.07683

GP+: A Python Library for Kernel-based learning via Gaussian Processes. (arXiv:2312.07694v1 [cs.LG]) http://arxiv.org/abs/2312.07694

A Class of Computational Methods to Reduce Selection Bias when Designing Phase 3 Clinical Trials. (arXiv:2312.07697v1 [stat.ME]) http://arxiv.org/abs/2312.07697

Distribution of the elemental regression weights with t-distributed co-variate measurement errors. (arXiv:2312.07704v1 [math.ST]) http://arxiv.org/abs/2312.07704

An Association Test Based on Kernel-Based Neural Networks for Complex Genetic Association Analysis. (arXiv:2312.06669v1 [q-bio.QM]) http://arxiv.org/abs/2312.06669

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. (arXiv:2312.06820v1 [cs.AI]) http://arxiv.org/abs/2312.06820

Resetting a fixed broken ELBO. (arXiv:2312.06828v1 [stat.ML]) http://arxiv.org/abs/2312.06828

Adaptive Experiments Toward Learning Treatment Effect Heterogeneity. (arXiv:2312.06883v1 [stat.ME]) http://arxiv.org/abs/2312.06883

An $LDL^T$ Trust-Region Quasi-Newton Method. (arXiv:2312.06884v1 [math.OC]) http://arxiv.org/abs/2312.06884

Can a Transformer Represent a Kalman Filter?. (arXiv:2312.06937v1 [cs.LG]) http://arxiv.org/abs/2312.06937

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. (arXiv:2312.07032v1 [cs.LG]) http://arxiv.org/abs/2312.07032

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. (arXiv:2312.07067v1 [cs.LG]) http://arxiv.org/abs/2312.07067

Meta-survey on outlier and anomaly detection. (arXiv:2312.07101v1 [cs.AI]) http://arxiv.org/abs/2312.07101

General Tail Bounds for Non-Smooth Stochastic Mirror Descent. (arXiv:2312.07142v1 [cs.LG]) http://arxiv.org/abs/2312.07142

Estimating Fr\'echet bounds for validating programmatic weak supervision. (arXiv:2312.04601v1 [stat.ML]) http://arxiv.org/abs/2312.04601