arXiv Statistics @arxiv_stats@qoto.org

A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding. (arXiv:2007.03682v1 [stat.AP]) http://arxiv.org/abs/2007.03682

Parsimony in Model Selection: Tools for Assessing Fit Propensity. (arXiv:2007.03699v1 [stat.AP]) http://arxiv.org/abs/2007.03699

Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH). (arXiv:2007.03714v1 [cs.LG]) http://arxiv.org/abs/2007.03714

Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling. (arXiv:2007.03722v1 [stat.AP]) http://arxiv.org/abs/2007.03722

Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data. (arXiv:2007.03732v1 [stat.AP]) http://arxiv.org/abs/2007.03732

Meta-active Learning in Probabilistically-Safe Optimization. (arXiv:2007.03742v1 [cs.LG]) http://arxiv.org/abs/2007.03742

Predictive Analytics for Water Asset Management: Machine Learning and Survival Analysis. (arXiv:2007.03744v1 [eess.SP]) http://arxiv.org/abs/2007.03744

Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline. (arXiv:2007.03746v1 [eess.SP]) http://arxiv.org/abs/2007.03746

On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction. (arXiv:2007.03747v1 [eess.SP]) http://arxiv.org/abs/2007.03747

Causal Feature Selection via Orthogonal Search. (arXiv:2007.02938v1 [stat.ML]) http://arxiv.org/abs/2007.02938

Sharing Models or Coresets: A Study based on Membership Inference Attack. (arXiv:2007.02977v1 [cs.LG]) http://arxiv.org/abs/2007.02977

Multiple Imputation with Massive Data: an Application to the Panel Study of Income Dynamics. (arXiv:2007.03016v1 [stat.ME]) http://arxiv.org/abs/2007.03016

Deep Contextual Embeddings for Address Classification in E-commerce. (arXiv:2007.03020v1 [cs.LG]) http://arxiv.org/abs/2007.03020

Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with DiRienzo-Zurbenko Algorithm Smoothing in the Spectral Analysis of Time Series Data. (arXiv:2007.03031v1 [stat.AP]) http://arxiv.org/abs/2007.03031

Machine Learning with the Sugeno Integral: The Case of Binary Classification. (arXiv:2007.03046v1 [cs.LG]) http://arxiv.org/abs/2007.03046

Metric-Guided Prototype Learning. (arXiv:2007.03047v1 [cs.LG]) http://arxiv.org/abs/2007.03047

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. (arXiv:2007.03051v1 [cs.CY]) http://arxiv.org/abs/2007.03051

A Minimum-Risk Dynamic Assignment Mechanism Along with an Approximation, Heuristics, and Extension from Single to Batch Assignments. (arXiv:2007.03069v1 [math.OC]) http://arxiv.org/abs/2007.03069

Deep Partial Updating. (arXiv:2007.03071v1 [cs.LG]) http://arxiv.org/abs/2007.03071

High-recall causal discovery for autocorrelated time series with latent confounders. (arXiv:2007.01884v1 [stat.ME]) http://arxiv.org/abs/2007.01884