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Volume 111 Issue 1
March 2024
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
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
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
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'
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