25 citations · 95 across the 17 of their papers we have counts for
7 papers · 1 filter
Inference in Marginal Structural Models by Automatic Targeted Bayesian and Minimum Loss-Based Estimation
Herbert Susmann, Antoine Chambaz
Two of the principle tasks of causal inference are to define and estimate the effect of a treatment on an outcome of interest. Formally, such treatment effects are defined as a pos…
One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
Geoffrey Ecoto, Aurélien Bibaut, Antoine Chambaz
Suppose that we observe a short time series where each time-t-specific data-structure consists of many slightly dependent data indexed by a and that we want to estimate a feature o…
Optimal tests of the composite null hypothesis arising in mediation analysis
Caleb H. Miles, Antoine Chambaz
The indirect effect of an exposure on an outcome through an intermediate variable can be identified by a product of two regression coefficients under certain causal and regression…
Faster Rates for Policy Learning
Alexander Luedtke, Antoine Chambaz
This article improves the existing proven rates of regret decay in optimal policy estimation. We give a margin-free result showing that the regret decay for estimating a within-cla…
Practical targeted learning from large data sets by survey sampling
Patrice Bertail, Antoine Chambaz, Emilien Joly
We address the practical construction of asymptotic confidence intervals for smooth (i.e., path-wise differentiable), real-valued statistical parameters by targeted learning from i…
Bounds for Bayesian order identification with application to mixtures
Antoine Chambaz, Judith Rousseau
The efficiency of two Bayesian order estimators is studied. By using nonparametric techniques, we prove new underestimation and overestimation bounds. The results apply to various…