Computational design of antimicrobial active surfaces via automated Bayesian optimization. (arXiv:2209.00055v1 [physics.bio-ph]) http://arxiv.org/abs/2209.00055
Joint Modeling of An Outcome Variable and Integrated Omic Datasets Using GLM-PO2PLS. (arXiv:2209.00056v1 [stat.ME]) http://arxiv.org/abs/2209.00056
Connecticut Redistricting Analysis. (arXiv:2209.00076v1 [cs.CY]) http://arxiv.org/abs/2209.00076
Two-stage Hypothesis Tests for Variable Interactions with FDR Control. (arXiv:2209.00077v1 [stat.ME]) http://arxiv.org/abs/2209.00077
Bayesian Mixed Multidimensional Scaling for Auditory Processing. (arXiv:2209.00102v1 [stat.ME]) http://arxiv.org/abs/2209.00102
Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model. (arXiv:2209.00105v1 [stat.ME]) http://arxiv.org/abs/2209.00105
An evaluation framework for comparing causal inference models. (arXiv:2209.00115v1 [stat.ML]) http://arxiv.org/abs/2209.00115
A general framework for the analysis of kernel-based tests. (arXiv:2209.00124v1 [math.ST]) http://arxiv.org/abs/2209.00124
On the incorrect use of Carlisle's method for dichotomous variables. (arXiv:2209.00131v1 [stat.AP]) http://arxiv.org/abs/2209.00131
Dual Representation Learning for One-Step Clustering of Multi-View Data. (arXiv:2208.14450v1 [cs.LG]) http://arxiv.org/abs/2208.14450
Flickering emergences: The question of locality in information-theoretic approaches to emergence. (arXiv:2208.14502v1 [cs.IT]) http://arxiv.org/abs/2208.14502
Bayesian Multinomial Logistic Regression for Numerous Categories. (arXiv:2208.14537v1 [stat.CO]) http://arxiv.org/abs/2208.14537
Embedding Functional Data: Multidimensional Scaling and Manifold Learning. (arXiv:2208.14540v1 [math.ST]) http://arxiv.org/abs/2208.14540
Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps. (arXiv:2208.14541v1 [stat.ME]) http://arxiv.org/abs/2208.14541
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. (arXiv:2208.14555v1 [cs.LG]) http://arxiv.org/abs/2208.14555
How much does it cost to complete a sticker collection? A simulation study using R. (arXiv:2208.14557v1 [stat.CO]) http://arxiv.org/abs/2208.14557
Truncated Matrix Power Iteration for Differentiable DAG Learning. (arXiv:2208.14571v1 [cs.LG]) http://arxiv.org/abs/2208.14571
Few-shot Adaptive Object Detection with Cross-Domain CutMix. (arXiv:2208.14586v1 [cs.CV]) http://arxiv.org/abs/2208.14586
Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs). (arXiv:2208.14592v1 [astro-ph.IM]) http://arxiv.org/abs/2208.14592
Assessing, testing and estimating the amount of fine-tuning by means of active information. (arXiv:2208.13828v1 [math.ST]) http://arxiv.org/abs/2208.13828
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