Show newer

Computational design of antimicrobial active surfaces via automated Bayesian optimization. (arXiv:2209.00055v1 [physics.bio-ph]) arxiv.org/abs/2209.00055

Joint Modeling of An Outcome Variable and Integrated Omic Datasets Using GLM-PO2PLS. (arXiv:2209.00056v1 [stat.ME]) arxiv.org/abs/2209.00056

Two-stage Hypothesis Tests for Variable Interactions with FDR Control. (arXiv:2209.00077v1 [stat.ME]) arxiv.org/abs/2209.00077

Bayesian Mixed Multidimensional Scaling for Auditory Processing. (arXiv:2209.00102v1 [stat.ME]) arxiv.org/abs/2209.00102

Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model. (arXiv:2209.00105v1 [stat.ME]) arxiv.org/abs/2209.00105

An evaluation framework for comparing causal inference models. (arXiv:2209.00115v1 [stat.ML]) arxiv.org/abs/2209.00115

A general framework for the analysis of kernel-based tests. (arXiv:2209.00124v1 [math.ST]) arxiv.org/abs/2209.00124

On the incorrect use of Carlisle's method for dichotomous variables. (arXiv:2209.00131v1 [stat.AP]) arxiv.org/abs/2209.00131

Dual Representation Learning for One-Step Clustering of Multi-View Data. (arXiv:2208.14450v1 [cs.LG]) arxiv.org/abs/2208.14450

Flickering emergences: The question of locality in information-theoretic approaches to emergence. (arXiv:2208.14502v1 [cs.IT]) arxiv.org/abs/2208.14502

Bayesian Multinomial Logistic Regression for Numerous Categories. (arXiv:2208.14537v1 [stat.CO]) arxiv.org/abs/2208.14537

Embedding Functional Data: Multidimensional Scaling and Manifold Learning. (arXiv:2208.14540v1 [math.ST]) arxiv.org/abs/2208.14540

Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps. (arXiv:2208.14541v1 [stat.ME]) arxiv.org/abs/2208.14541

Dynamic Global Sensitivity for Differentially Private Contextual Bandits. (arXiv:2208.14555v1 [cs.LG]) 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]) arxiv.org/abs/2208.14557

Truncated Matrix Power Iteration for Differentiable DAG Learning. (arXiv:2208.14571v1 [cs.LG]) arxiv.org/abs/2208.14571

Few-shot Adaptive Object Detection with Cross-Domain CutMix. (arXiv:2208.14586v1 [cs.CV]) arxiv.org/abs/2208.14586

Light curve completion and forecasting using fast and scalable Gaussian processes (MuyGPs). (arXiv:2208.14592v1 [astro-ph.IM]) arxiv.org/abs/2208.14592

Assessing, testing and estimating the amount of fine-tuning by means of active information. (arXiv:2208.13828v1 [math.ST]) arxiv.org/abs/2208.13828

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.