Show newer

Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects arxiv.org/abs/2407.14703 .ME .ST .TH

Regression models for binary data with scale mixtures of centered skew-normal link functions arxiv.org/abs/2407.14748 .ME

Minimax estimation of functionals in sparse vector model with correlated observations arxiv.org/abs/2407.14778 .ST .TH

Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes arxiv.org/abs/2407.14861 .ML .ME .LG

Multiple merger coalescent inference of effective population size arxiv.org/abs/2407.14976 -bio.PE .AP

Nonparametric Estimation of Ordinary Differential Equations: Snake and Stubble arxiv.org/abs/2407.14989 .ST .TH

Lower Bounds for Nonparametric Estimation of Ordinary Differential Equations arxiv.org/abs/2407.14993 .ST .TH

Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion arxiv.org/abs/2407.13814 .ME

Projection-pursuit Bayesian regression for symmetric matrix predictors arxiv.org/abs/2407.13865 .ME

LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data (User Manual) arxiv.org/abs/2407.13889 .CO

In defense of MAR over latent ignorability (or latent MAR) for outcome missingness in studying principal causal effects: a causal graph view arxiv.org/abs/2407.13904 .ME

On the Frequentist Coverage of Bayes Posteriors in Nonlinear Inverse Problems arxiv.org/abs/2407.13970 .ST .TH

Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems arxiv.org/abs/2407.13971 .ME .CO .ML

A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits arxiv.org/abs/2407.13977 .ML .LG

Byzantine-tolerant distributed learning of finite mixture models arxiv.org/abs/2407.13980 .ME .ML .LG

Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate arxiv.org/abs/2407.14002 .ME

Show older
Qoto Mastodon

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