3 papers
stat.ME2026
Goodness-of-Fit Tests for Censored and Truncated Data: Maximum Mean Discrepancy Over Regular Functionals
Juan Carlos Escanciano, Jacobo de Uña-Ãlvarez
We develop a systematic, omnibus approach to goodness-of-fit testing for parametric distributional models when the variable of interest is only partially observed due to censoring…
stat.ME2026
Smoothing spline density estimation from doubly truncated data
David Bamio, Jacobo de Uña-Ãlvarez
In Astronomy, Survival Analysis and Epidemiology, among many other fields, doubly truncated data often appear. Double truncation generally induces a sampling bias, so ordinary esti…
stat.ME2024
Logistic regression with missing responses and predictors: a review of existing approaches and a case study
Susana Rafaela Martins, Jacobo de Uña-Ãlvarez, MarÃa del Carmen Iglesias-Pérez
In this work logistic regression when both the response and the predictor variables may be missing is considered. Several existing approaches are reviewed, including complete case…