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stat.ME2026
Goodness-of-Fit Tests for Censored and Truncated Data: Maximum Mean Discrepancy Over Regular Functionals
Juan Carlos Escanciano, Jacobo de Uña-Álvarez
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-Álvarez
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…