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Spatial epidemiology and adaptive targeted sampling to manage the Chagas disease vector Triatoma dimidiata. (arXiv:2111.05964v1 [stat.AP]) arxiv.org/abs/2111.05964

Accurate confidence interval estimation for non-centrality parameters and effect size indices. (arXiv:2111.05966v1 [stat.ME]) arxiv.org/abs/2111.05966

The modeling of multiple animals that share behavioral features. (arXiv:2111.05985v1 [stat.AP]) arxiv.org/abs/2111.05985

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision. (arXiv:2111.05986v1 [stat.ML]) arxiv.org/abs/2111.05986

Tight bounds for minimum l1-norm interpolation of noisy data. (arXiv:2111.05987v1 [math.ST]) arxiv.org/abs/2111.05987

Causal KL: Evaluating Causal Discovery. (arXiv:2111.06029v1 [cs.LG]) arxiv.org/abs/2111.06029

On the Equivalence between Neural Network and Support Vector Machine. (arXiv:2111.06063v1 [stat.ML]) arxiv.org/abs/2111.06063

Evaluation of a meta-analysis of the association between red and processed meat and selected human health effects. (arXiv:2111.05337v1 [stat.AP]) arxiv.org/abs/2111.05337

Simulating cloud-aerosol interactions made by ship emissions. (arXiv:2111.05356v1 [stat.AP]) arxiv.org/abs/2111.05356

Graph Matching via Optimal Transport. (arXiv:2111.05366v1 [stat.ML]) arxiv.org/abs/2111.05366

Probabilistic predictions of SIS epidemics on networks based on population-level observations. (arXiv:2111.05369v1 [q-bio.PE]) arxiv.org/abs/2111.05369

Function-on-function linear quantile regression. (arXiv:2111.05374v1 [stat.ME]) arxiv.org/abs/2111.05374

Statistical Perspectives on Reliability of Artificial Intelligence Systems. (arXiv:2111.05391v1 [cs.SE]) arxiv.org/abs/2111.05391

Constrained Instance and Class Reweighting for Robust Learning under Label Noise. (arXiv:2111.05428v1 [cs.LG]) arxiv.org/abs/2111.05428

DP-REC: Private & Communication-Efficient Federated Learning. (arXiv:2111.05454v1 [cs.LG]) arxiv.org/abs/2111.05454

Which priors matter? Benchmarking models for learning latent dynamics. (arXiv:2111.05458v1 [stat.ML]) arxiv.org/abs/2111.05458

Realizable Learning is All You Need. (arXiv:2111.04746v1 [cs.LG]) arxiv.org/abs/2111.04746

The World in a Grain of Sand: Condensing the String Vacuum Degeneracy. (arXiv:2111.04761v1 [hep-th]) arxiv.org/abs/2111.04761

Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression. (arXiv:2111.04805v1 [stat.ML]) arxiv.org/abs/2111.04805

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