2 papers
stat.ML2026
Generalized Neural Distributional Regression
Natan Hilario da Silva, Vicente Garibay Cancho, Adriano Kamimura Suzuki
We introduce the Generalized Neural Distributional Regression (GNDR) framework, which seamlessly embeds deep neural networks into the parameter space of classical probability distr…
stat.ME2015
Maximum Likelihood Estimation for the Weight Lindley Distribution Parameters under Different Types of Censoring
Pedro L. Ramos, Francisco Louzada, Vicente G. Cancho
In this paper the maximum likelihood equations for the parameters of the Weight Lindley distribution are studied considering different types of censoring, such as, type I, type II…