3 papers
stat.ME2018
Beta Autoregressive Fractionally Integrated Moving Average Models
Guilherme Pumi, Marcio Valk, Cleber Bisognin +2
In this work we introduce the class of beta autoregressive fractionally integrated moving average models for continuous random variables taking values in the continuous unit interv…
stat.ME2018
U-statistical inference for hierarchical clustering
Marcio Valk, Gabriela Bettella Cybis
Clustering methods are a valuable tool for the identification of patterns in high dimensional data with applications in many scientific problems. However, quantifying uncertainty i…
stat.ME2016
Clustering and Classification of Genetic Data Through U-Statistics
Gabriela Bettella Cybis, Marcio Valk, Silvia Regina Costa Lopes
Genetic data are frequently categorical and have complex dependence structures that are not always well understood. For this reason, clustering and classification based on genetic…