Found 30 papers
Sorted by: Newest FirstResampling Methods with Multiply Imputed Data
Michael W Robbins, Lane Burgette
Abstract
Existence and Applications of Finite Population Samples that are Exactly Balanced
Yves Tillé, Louis-Paul Rivest
Abstract
Infinite joint species distribution models
F Stolf, D B Dunson
Abstract
Dimension estimation in a spiked covariance model using high-dimensional data augmentation
U Radojičić, J Virta
Abstract
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
Debiased learning of the causal net benefit with censored event time data
Torben Martinussen, Stijn Vansteelandt
Abstract
Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
B Ren, others
Abstract
Simulating diffusion bridges with score matching
J Heng, others
Abstract
A family of toroidal diffusions with exact likelihood inference
E García-Portugués, M Sørensen
Abstract
Identifying and bounding the probability of necessity for causes of effects with ordinal outcomes
Chao Zhang, others
Abstract
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 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
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
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu, others
Abstract
Bias correction of quadratic spectral estimators
Lachlan C Astfalck, 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