Patrimony
The Louis Bachelier Group's patrimony has been defined as all the publications produced by academic researchers thanks to Group funding (ILB, FdR, IEF, Labex) or via the use of EquipEx data (BEDOFIH, EUROFIDAI).
Some statistical learning problems with incomplete data.
Censored data, Deep learning, Données censurées, Données incomplètes, Incomplete data, Machine learning, Séries temporelles, Time series
Some statistical learning problems in the presence of incomplete data.
Censored data, Deep learning, Données censurées, Données incomplètes, Incomplete data, Machine learning, Séries temporelles, Time series
Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework.
Incomplete data, Major trauma, Metropolis-Hastings, Observed likelihood, Public health, Variable selection
Adaptive Bayesian SLOPE—High-dimensional Model Selection with Missing Values.
FDR control, Health data, Incomplete data, Penalized regression, Spike and slab prior, Stochastic approximation EM
Logistic Regression with Missing Covariates -- Parameter Estimation, Model Selection and Prediction.
Incomplete data, Major trauma, Observed likelihood, Public health, Variable selection