Accounting for spatial confounding in epidemiological studies with individual-level exposures: An exposure-penalized spline approach. (arXiv:2107.08072v1 [stat.ME]) http://arxiv.org/abs/2107.08072
Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting. (arXiv:2107.08075v1 [stat.ME]) http://arxiv.org/abs/2107.08075
Non-Parametric Manifold Learning. (arXiv:2107.08089v1 [math.ST]) http://arxiv.org/abs/2107.08089
Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data. (arXiv:2107.08112v1 [econ.EM]) http://arxiv.org/abs/2107.08112
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. (arXiv:2107.08135v1 [stat.ML]) http://arxiv.org/abs/2107.08135
Markov Blanket Discovery using Minimum Message Length. (arXiv:2107.08140v1 [cs.LG]) http://arxiv.org/abs/2107.08140
Model Uncertainty and Correctability for Directed Graphical Models. (arXiv:2107.08179v1 [stat.ML]) http://arxiv.org/abs/2107.08179
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. (arXiv:2107.08195v1 [cs.LG]) http://arxiv.org/abs/2107.08195
Minimising quantifier variance under prior probability shift. (arXiv:2107.08209v1 [stat.ML]) http://arxiv.org/abs/2107.08209
Optimal Stopping Methodology for the Secretary Problem with Random Queries. (arXiv:2107.07513v1 [cs.DS]) http://arxiv.org/abs/2107.07513
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference. (arXiv:2107.07561v1 [stat.ME]) http://arxiv.org/abs/2107.07561
Optimal tests of the composite null hypothesis arising in mediation analysis. (arXiv:2107.07575v1 [math.ST]) http://arxiv.org/abs/2107.07575
A multiple criteria approach for ship risk classification: An alternative to the Paris MoU Ship Risk Profile. (arXiv:2107.07581v1 [stat.AP]) http://arxiv.org/abs/2107.07581
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. (arXiv:2107.07582v1 [q-bio.QM]) http://arxiv.org/abs/2107.07582
Ranked Sparsity: A Cogent Regularization Framework for Selecting and Estimating Feature Interactions and Polynomials. (arXiv:2107.07594v1 [stat.ME]) http://arxiv.org/abs/2107.07594
Optimal-Design Domain-Adaptation for Exposure Prediction in Two-Stage Epidemiological Studies. (arXiv:2107.07602v1 [stat.AP]) http://arxiv.org/abs/2107.07602
Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data. (arXiv:2107.07603v1 [q-bio.QM]) http://arxiv.org/abs/2107.07603
Quantifying the economic response to COVID-19 mitigations and death rates via forecasting Purchasing Managers' Indices using Generalised Network Autoregressive models with exogenous variables. (arXiv:2107.07605v1 [stat.ME]) http://arxiv.org/abs/2107.07605
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. (arXiv:2107.07618v1 [cs.LG]) http://arxiv.org/abs/2107.07618
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. (arXiv:2107.06929v1 [cs.LG]) http://arxiv.org/abs/2107.06929
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