1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Quantile Super Learning for independent and online settings with application to solar power forecasting
Herbert Susmann, Antoine Chambaz
Estimating quantiles of an outcome conditional on covariates is of fundamental interest in statistics with broad application in probabilistic prediction and forecasting. We propose…
stat.AP2023★ 1 cited
A Bayesian analysis of current duration data with reporting issues: an application to estimating the distribution of time-between-sex from time-since-last-sex data as collected in cross-sectional surveys in low- and middle-income countries
Chi Hyun Lee, Herbert Susmann, Leontine Alkema
Aggregate measures of family planning are used to monitor demand for and usage of contraceptive methods in populations globally, for example as part of the FP2030 initiative. Famil…
math.ST2023
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…