5 papers · 1 filter
Fault detection and diagnosis of batch process using dynamic ARMA-based control charts
Batista Nunes de Oliveira, Marcio Valk, Danilo Marcondes Filho
A wide range of approaches for batch processes monitoring can be found in the literature. This kind of process generates a very peculiar data structure, in which successive measure…
Clustering inference in multiple groups
Debora Zava Bello, Marcio Valk, Gabriela Bettella Cybis
Inference in clustering is paramount to uncovering inherent group structure in data. Clustering methods which assess statistical significance have recently drawn attention owing to…
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…
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…
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…