Show newer

Isotonic Recalibration under a Low Signal-to-Noise Ratio. (arXiv:2301.02692v1 [stat.ME]) arxiv.org/abs/2301.02692

Testing exponentiality using extropy of upper record values. (arXiv:2301.02698v1 [stat.AP]) arxiv.org/abs/2301.02698

Covariance loss, Szemeredi regularity, and differential privacy. (arXiv:2301.02705v1 [math.PR]) arxiv.org/abs/2301.02705

A Characterization of Multilabel Learnability. (arXiv:2301.02729v1 [cs.LG]) arxiv.org/abs/2301.02729

Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values. (arXiv:2301.02739v1 [stat.ME]) arxiv.org/abs/2301.02739

Principal Component Analysis in Space Forms. (arXiv:2301.02750v1 [stat.ML]) arxiv.org/abs/2301.02750

Using a Penalized Likelihood to Detect Mortality Deceleration. (arXiv:2301.02853v1 [stat.ME]) arxiv.org/abs/2301.02853

$D$-Optimal and Nearly $D$-Optimal Exact Designs for Binary Response on the Ball. (arXiv:2301.02859v1 [stat.ME]) arxiv.org/abs/2301.02859

Model selection for network data based on spectral information. (arXiv:2301.02871v1 [stat.ME]) arxiv.org/abs/2301.02871

Machine Fault Classification using Hamiltonian Neural Networks. (arXiv:2301.02243v1 [cs.LG]) arxiv.org/abs/2301.02243

Statistical Inference and A/B Testing for First-Price Pacing Equilibria. (arXiv:2301.02276v1 [math.ST]) arxiv.org/abs/2301.02276

Screening Methods for Classification Based on Non-parametric Bayesian Tests. (arXiv:2301.02283v1 [stat.ME]) arxiv.org/abs/2301.02283

Least absolute deviation estimation for AR(1) processes with roots close to unity. (arXiv:2301.02291v1 [math.ST]) arxiv.org/abs/2301.02291

Model Mixing Using Bayesian Additive Regression Trees. (arXiv:2301.02296v1 [stat.ME]) arxiv.org/abs/2301.02296

Estimation of regression models with various shapes of errors using semiparametric efficient score functions. (arXiv:2301.02329v1 [stat.ME]) arxiv.org/abs/2301.02329

HT-MMIOW: A Hypothesis Test approach for Microbiome Mediation using Inverse Odds Weighting. (arXiv:2301.02331v1 [stat.AP]) arxiv.org/abs/2301.02331

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. (arXiv:2301.02332v1 [cs.LG]) arxiv.org/abs/2301.02332

Spatio-temporal determinantal point processes. (arXiv:2301.02353v1 [math.ST]) arxiv.org/abs/2301.02353

Non-parametric Multi-Partitions Clustering. (arXiv:2301.02422v1 [stat.ME]) arxiv.org/abs/2301.02422

Smooth forecasting with the smooth package in R. (arXiv:2301.01790v1 [stat.ME]) arxiv.org/abs/2301.01790

Show older
Qoto Mastodon

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