arXiv Statistics @arxiv_stats@qoto.org

Multi-Level Micro-Randomized Trial: Detecting the Proximal Effect of Messages on Physical Activity. (arXiv:2007.13741v1 [stat.ME]) http://arxiv.org/abs/2007.13741

Neural Temporal Point Processes For Modelling Electronic Health Records. (arXiv:2007.13794v1 [cs.LG]) http://arxiv.org/abs/2007.13794

The Spectral Approach to Linear Rational Expectations Models. (arXiv:2007.13804v1 [econ.EM]) http://arxiv.org/abs/2007.13804

Multi-Level Local SGD for Heterogeneous Hierarchical Networks. (arXiv:2007.13819v1 [cs.LG]) http://arxiv.org/abs/2007.13819

The look-elsewhere effect from a unified Bayesian and frequentist perspective. (arXiv:2007.13821v1 [physics.data-an]) http://arxiv.org/abs/2007.13821

CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. (arXiv:2007.13825v1 [cs.LG]) http://arxiv.org/abs/2007.13825

Robust Similarity and Distance Learning via Decision Forests. (arXiv:2007.13843v1 [stat.ML]) http://arxiv.org/abs/2007.13843

A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses. (arXiv:2007.13847v1 [stat.AP]) http://arxiv.org/abs/2007.13847

A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals. (arXiv:2007.13855v1 [eess.SP]) http://arxiv.org/abs/2007.13855

Na\"ive regression requires weaker assumptions than factor models to adjust for multiple cause confounding. (arXiv:2007.12702v1 [stat.ME]) http://arxiv.org/abs/2007.12702

Online spatio-temporal learning in deep neural networks. (arXiv:2007.12723v1 [cs.LG]) http://arxiv.org/abs/2007.12723

Principal Regression for High Dimensional Covariance Matrices. (arXiv:2007.12740v1 [stat.ME]) http://arxiv.org/abs/2007.12740

A unified survey on treatment effect heterogeneity modeling and uplift modeling. (arXiv:2007.12769v1 [stat.ME]) http://arxiv.org/abs/2007.12769

CD-split: efficient conformal regions in high dimensions. (arXiv:2007.12778v1 [stat.ML]) http://arxiv.org/abs/2007.12778

Linear discriminant initialization for feed-forward neural networks. (arXiv:2007.12782v1 [cs.LG]) http://arxiv.org/abs/2007.12782

Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data. (arXiv:2007.12786v1 [stat.ML]) http://arxiv.org/abs/2007.12786

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. (arXiv:2007.12792v1 [cs.LG]) http://arxiv.org/abs/2007.12792

Hierachial Protein Function Prediction with Tails-GNNs. (arXiv:2007.12804v1 [cs.LG]) http://arxiv.org/abs/2007.12804

New clustering approach for symbolic polygonal data: application to the clustering of entrepreneurial regimes. (arXiv:2007.12805v1 [stat.ME]) http://arxiv.org/abs/2007.12805

Principal Separable Component Analysis via the Partial Inner Product. (arXiv:2007.12175v1 [math.ST]) http://arxiv.org/abs/2007.12175