Coloured Gaussian directed acyclic graphical models

Tobias Boegeand others

Self-organizing state-space models with artificial dynamics

Yuan Chenand others

Minimax and adaptive transfer learning for nonparametric classification under distributed differential privacy constraintsGet access

Arnab Auddyand others

Correction to: Inference of dependency knowledge graph for Electronic Health Records

Root cause discovery via permutations and Cholesky decompositionGet access

Jinzhou Liand others

Generalized universal inference on risk minimizers

Neil Deyand others

Additive-Effect Assisted LearningGet access

Jiawei Zhangand others

Representation of context-specific causal models with observational and interventional data

Eliana DuarteandLiam Solus

Spectral change point estimation for high-dimensional time series by sparse tensor decompositionGet access

Xinyu ZhangandKung-Sik Chan

Bayesian analysis of product feature allocation models

Lorenzo Ghilottiand others

Inference of dependency knowledge graph for Electronic Health RecordsGet access

Zhiwei Xuand others

Robust detection of watermarks for large language models under human editsGet access

Xiang Liand others

Bootstrapping estimators based on the block maxima methodGet access

Axel BücherandTorben Staud

Scalable Bayesian inference for heat kernel Gaussian processes on manifoldsGet access

Junhui Heand others

A stratifiedL2-discrepancy with application to space-filling designsGet access

Ye TianandHongquan Xu

Simplifying debiased inference via automatic differentiation and probabilistic programmingGet access

Alex Luedtke

Wasserstein generative regression

Shanshan Songand others

Huber means on Riemannian manifolds

Jongmin LeeandSungkyu Jung

Multilayer random dot product graphs: estimation and online change point detection

Fan Wangand others

Statistical ranking with dynamic covariatesGet access

Pinjun Dongand others

Pretraining and the lassoGet access

Erin Craigand others

Online multivariate changepoint detection: leveraging links with computational geometryGet access

Liudmila Pishchaginaand others

Censored quantile regression with time-dependent covariates

Chi Wing Chuand others

Principal stratification with continuous post-treatment variables: nonparametric identification and semiparametric estimation

Sizhu Lu, others

Doubly robust conditional independence testing with generative neural networks

Yi Zhang, others

Estimating maximal symmetries of regression functions via subgroup lattices

Louis G Christie, John A D Aston

Harmonized estimation of subgroup-specific treatment effects in randomized trials: the use of external control data

Daniel Schwartz, others

Empirical likelihood for manifolds

Daisuke Kurisu, Taisuke Otsu

Efficient nonparametric estimators of discrimination measures with censored survival data

Torben Martinussen, Marie Skov Breum

Correction to: Parameterizing and simulating from causal models

Optimal clustering by Lloyd’s algorithm for low-rank mixture model

Dong Xia, Zhongyuan Lyu

A unified generalization of the inverse regression methods via column selection

Yin Jin, Wei Luo

Identification and multiply robust estimation in causal mediation analysis across principal strata

Chao Cheng, Fan Li

Ordinary differential equation models for a collection of discretized functions

Fang Yao, Lingxuan Shao

Correction to: Convexity and measures of statistical association

Semiparametric localized principal stratification analysis with continuous strata

Yichi Zhang, Shu Yang

Least squares for cardinal paired comparisons data

Rahul Singh, others

Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures

Ming-Chung Chang

Regularized halfspace depth for functional data

Hyemin Yeon, others

Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling

Xiaotong Lin, others

Detection and inference of changes in high-dimensional linear regression with nonsparse structures

Haeran Cho, others

Covariate-assisted bounds on causal effects with instrumental variables

Alexander W Levis, others

Isotonic mechanism for exponential family estimation in machine learning peer review

Yuling Yan, others

Improving the false coverage rate adjusted confidence intervals

Tzviel Frostig, Yoav Benjamini

An optimal design framework for lasso sign recovery

Jonathan W Stallrich, others

Bayesian mixture models with repulsive and attractive atoms

Mario Beraha, others

A statistical view of column subset selection

Anav Sood, Trevor Hastie

Unbiased and consistent nested sampling via sequential Monte Carlo

Robert Salomone, others

SymmPI: predictive inference for data with group symmetries

Edgar Dobriban, Mengxin Yu

Product centred Dirichlet processes for Bayesian multiview clustering

Alexander Dombowsky, David B Dunson

Augmented balancing weights as linear regression

David Bruns-Smith, others

Graphical methods for Order-of-Addition experiments

Nicholas Rios, Dennis K J Lin

Convexity and measures of statistical association

Emanuele Borgonovo, others

Confidence on the focal: conformal prediction with selection-conditional coverage

Ying Jin, Zhimei Ren

Multi-resolution subsampling for linear classification with massive data

Haolin Chen, others

Sequential Monte Carlo testing by betting

Lasse Fischer, Aaditya Ramdas

A general framework for cutting feedback within modularized Bayesian inference

Yang Liu, Robert J B Goudie

Correction to: Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods

Strong oracle guarantees for partial penalized tests of high-dimensional generalized linear models

Tate Jacobson

Selecting informative conformal prediction sets with false coverage rate control

Ulysse Gazin, others

Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling

Jinyuan Chang, others

Conformal prediction with conditional guarantees

Isaac Gibbs, others

A conditioning tactic that increases design sensitivity in observational block designs

Paul R Rosenbaum

Adaptive experiments toward learning treatment effect heterogeneity

Waverly Wei, others

Semiparametric posterior corrections

Andrew Yiu, others

Two-phase rejective sampling and its asymptotic properties

Peng Ding, Shu Yang

Augmentation invariant manifold learning

Shulei Wang

Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation

Linda S L Tan

Randomized empirical likelihood test for ultra-high dimensional means under general covariances

Yuexin Chen, others