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Biometrika  
Volume 111 Issue 1
 
March 2024
 
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Articles
 
 
 
 
Causal inference with misspecified exposure mappings: separating definitions and assumptions 
 
F Sävje
 
 
 
Discussion of ˜Causal inference with misspecified exposure mappings: separating definitions and assumptions' 
 
Michael P Leung
 
 
 
Discussion of ˜Causal inference with misspecified exposure mappings: separating definitions and assumptions' 
 
Eric Auerbach, Jonathan Auerbach, Max Tabord-Meehan
 
 
 
Rejoinder: Causal inference with misspecified exposure mappings: separating definitions and assumptions 
 
F Sävje
 
 
 
A linear adjustment-based approach to posterior drift in transfer learning 
 
Subha Maity, Diptavo Dutta, Jonathan Terhorst, Yuekai Sun, Moulinath Banerjee
 
 
 
 
Efficient evaluation of natural stochastic policies in off-line reinforcement learning 
 
Nathan Kallus, Masatoshi Uehara
 
 
 
Universal robust regression via maximum mean discrepancy border=  
 
P Alquier, M Gerber
 
 
 
Online inference with debiased stochastic gradient descent 
 
Ruijian Han, Lan Luo, Yuanyuan Lin, Jian Huang
 
 
 
Hybrid confidence intervals for informative uniform asymptotic inference after model selection 
 
A McCloskey
 
 
 
One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves 
 
H C W Rytgaard, M J van der Laan
 
 
 
 
Populations of unlabelled networks: graph space geometry and generalized geodesic principal components 
 
Anna Calissano, Aasa Feragen, Simone Vantini
 
 
 
Statistical summaries of unlabelled evolutionary trees 
 
Rajanala Samyak, Julia A Palacios
 
 
 
Bayesian learning of network structures from interventional experimental data 
 
F Castelletti, S Peluso
 
 
 
Tailored inference for finite populations: conditional validity and transfer across distributions border= 
 
Ying Jin, Dominik Rothenhäusler
 
 
 
Treatment effect quantiles in stratified randomized experiments and matched observational studies 
 
Yongchang Su, Xinran Li
 
 
 
A mark-specific quantile regression model border=  
 
Lianqiang Qu, Liuquan Sun, Yanqing Sun
 
 
 
On geometric convergence for the Metropolis-adjusted Langevin algorithm under simple conditions 
 
Alain Oliviero-Durmus, Éric Moulines
 
 
 
Interpolating discriminant functions in high-dimensional Gaussian latent mixtures 
 
Xin Bing, Marten Wegkamp
 
 
 
Robust sample weighting to facilitate individualized treatment rule learning for a target population 
 
Rui Chen, Jared D Huling, Guanhua Chen, Menggang Yu
 
 
 
Miscellanea
 
 
 
 
No-harm calibration for generalized Oaxaca'Blinder estimators  
 
P L Cohen, C B Fogarty
 
 
 
Characterizing M-estimators 
 
Timo Dimitriadis, Tobias Fissler, Johanna Ziegel
 
 
 
Scalable subsampling: computation, aggregation and inference 
 
Dimitris N Politis
 
 
 
Power and sample size calculations for rerandomization 
 
Zach Branson, Xinran Li, Peng Ding
 
 
 
Correction
 
 
 
 
Correction to: ˜A cross-validation-based statistical theory for point processes' border= 
 
 
 
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