3 papers
cs.LG2025
Neural networks for dengue forecasting: a systematic review
Luiza Lober, Francisco A. Rodrigues, Kirstin Roster
Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of pub…
stat.ME2025
Asymptotic properties of generalized closed-form maximum likelihood estimators
Pedro L. Ramos, Eduardo Ramos, Francisco A. Rodrigues +1
The maximum likelihood estimator (MLE) is pivotal in statistical inference, yet its application is often hindered by the absence of closed-form solutions for many models. This pose…
stat.CO2024
Sampling with censored data: a practical guide
Pedro L. Ramos, Daniel C. F. Guzman, Alex L. Mota +3
In this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such…