17 citations · 21 across the 16 of their papers we have counts for
5 papers · 1 filter
AdaptiveConformal: An R Package for Adaptive Conformal Inference
Herbert Susmann, Antoine Chambaz, Julie Josse
Conformal Inference (CI) is a popular approach for generating finite sample prediction intervals based on the output of any point prediction method when data are exchangeable. Adap…
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…
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…
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…
Flexible Modeling of Demographic Transition Processes with a Bayesian Hierarchical B-splines Model
Herbert Susmann, Leontine Alkema
Several demographic and health indicators, including the total fertility rate (TFR) and modern contraceptive use rate (mCPR), evolve similarly over time, characterized by a transit…