Papers
Found 27 papers
Sorted by: Newest FirstLeveraging 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
Robust functional principal component analysis for non-Euclidean random objects
Jiazhen Xu, others
Abstract
Aggregating Dependent Signals with Heavy-Tailed Combination Tests
Lin Gui, 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
Predictive performance of power posteriors
Y McLatchie, 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 General Form of Covariate Adjustment in Clinical Trials under Covariate-Adaptive Randomization
Marlena S Bannick, others
Abstract
Dynamic Factor Analysis of High-Dimensional Recurrent Events
F Chen, others
Abstract
Improving efficiency in transporting average treatment effects
K E Rudolph, others
Abstract
A general condition for bias attenuation by a nondifferentially mismeasured confounder
Jeffrey Zhang, Junu Lee
Abstract
A spike-and-slab prior for dimension selection in generalized linear network eigenmodels
Joshua D Loyal, Yuguo Chen
Abstract
Transfer learning for piecewise-constant mean estimation: Optimality,l1- andl0-penalization
F Wang, Y Yu
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