Found 55 papers
Sorted by: Newest FirstHarnessing The Collective Wisdom: Fusion Learning Using Decision Sequences from Diverse SourcesGet access
T Banerjeeand others
Uniform inference in linear mixed modelsGet access
Karl Oskar EkvallandMatteo Bottai
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studiesGet access
William Bekermanand others
Identification and estimation of interaction effects in nonparametric additive regressionGet access
Seung Hyun Moonand others
Higher criticism for rare and weak non-proportional hazard deviations in survival analysis
A Kipnisand others
Extremal correlation coefficient for functional dataGet access
M KimandP Kokoszka
Spatial self-confounding: Smoothness-related estimation bias in spatial regression models
David BolinandJonas Wallin
Post-selection inference for causal effects after causal discoveryGet access
T Changand others
Regression graphs and sparsity-inducing reparametrizations
J Rybakand others
On testing Kronecker product structure in tensor factor models
Z CenandC Lam
Sensitivity Analysis for Observational Studies with Flexible Matched DesignsGet access
Xinran Li
Priors for second-order unbiased Bayes estimatorsGet access
Mana Sakaiand others
Alternative Mean Square Error Estimators and Confidence Intervals for Small Area Prediction Under General DesignsGet access
Yanghyeon ChoandEmily Berg
Model-free selective inference under covariate shift via weighted conformal p-valuesGet access
Ying JinandEmmanuel J Candès
Supervised Contamination Detection, with Flow Cytometry ApplicationGet access
S Gaucherand others
Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality
R CaprioandA M Johansen
Resampling Methods with Multiply Imputed Data
Michael W Robbins, Lane Burgette
Abstract
Infinite joint species distribution models
D B Dunson, F Stolf
Abstract
Existence and Applications of Finite Population Samples that are Exactly Balanced
Yves Tillé, Louis-Paul Rivest
Abstract
Decomposing Gaussians with Unknown CovarianceGet access
A Dharamshiand others
A More Robust Approach to Multivariable Mendelian Randomization
Yinxiang Wu, others
Abstract
Decomposing Gaussians with Unknown Covariance
A Dharamshi, others
Abstract
Factor pre-training in Bayesian multivariate logistic models
D B Dunson, L Mauri
Abstract
Factor pre-training in Bayesian multivariate logistic modelsGet access
L MauriandD B Dunson
Dimension estimation in a spiked covariance model using high-dimensional data augmentation
U Radojičić, J Virta
Abstract
Debiased learning of the causal net benefit with censored event time data
Torben Martinussen, Stijn Vansteelandt
Abstract
Simulating diffusion bridges with score matching
J Heng, others
Abstract
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical TrialsGet access
B Renand others
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
B Ren, others
Abstract
Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes
Chao Zhang, others
Abstract
A family of toroidal diffusions with exact likelihood inference
E García-Portugués, M Sørensen
Abstract
A family of toroidal diffusions with exact likelihood inferenceGet access
E García-PortuguésandM Sørensen
Pseudo-likelihood Estimators for Graphical Models: Existence and Uniqueness
B Roycraft, B Rajaratnam
Abstract
Goodness-of-fit tests for linear non-Gaussian structural equation models
D Schkoda, M Drton
Abstract
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning
Pan Zhao, Yifan Cui
Abstract
Multicalibration for Modeling Censored Survival Data with Universal AdaptabilityGet access
Hanxuan YeandHongzhe Li
Multicalibration for Modeling Censored Survival Data with Universal Adaptability
Hanxuan Ye, Hongzhe Li
Abstract
Structural restrictions in local causal discovery: identifying direct causes of a target variable
J Bodik, V Chavez-Demoulin
Abstract
Nonsense associations in Markov random fields with pairwise dependence
Sohom Bhattacharya, others
Abstract
Nonsense associations in Markov random fields with pairwise dependenceGet access
Sohom Bhattacharyaand others
Aggregating Dependent Signals with Heavy-Tailed Combination Tests
Lin Gui, others
Abstract
Robust functional principal component analysis for non-Euclidean random objects
Jiazhen Xu, others
Abstract
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
R Bellio, others
Abstract
Powerful Partial Conjunction Hypothesis Testing via Conditioning
B Liang, others
Abstract
Bias correction of quadratic spectral estimators
Lachlan C Astfalck, others
Abstract
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu, others
Abstract
Towards a turnkey approach for unbiased Monte Carlo estimation of smooth functions of expectations
Nicolas Chopin, others
Abstract
A spike-and-slab prior for dimension selection in generalized linear network eigenmodels
Joshua D Loyal, Yuguo Chen
Abstract
High-dimensional Factor Analysis for Network-linked data
Jinming Li, others
Abstract
‘On the behaviour of marginal and conditional AIC in linear mixed models’
Sonja Greven, Thomas Kneib