activity
20172020
most citedDCT-like Transform for Image Compression Requires 14 Additions Only

95 citations · 161 across the 6 of their papers we have counts for

collaborators

9 papers

eess.SP202012 cited

A Multiparametric Class of Low-complexity Transforms for Image and Video Coding

D. R. Canterle, T. L. T. da Silveira, F. M. Bayer +1

Discrete transforms play an important role in many signal processing applications, and low-complexity alternatives for classical transforms became popular in recent years. Particul…

q-bio.PE2019

Modeling the Temporal Population Distribution of Ae. aegypti Mosquito using Big Earth Observation Data

Oladimeji Mudele, Fabio M. Bayer, Lucas Zanandrez +2

Over 50% of the world population is at risk of mosquito-borne diseases. Female Ae. aegypti mosquito species transmit Zika, Dengue, and Chikungunya. The spread of these diseases cor…

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

Beta seasonal autoregressive moving average models

Fábio M. Bayer, Renato J. Cintra, Francisco Cribari-Neto

In this paper we introduce the class of beta seasonal autoregressive moving average (SARMA) models for modeling and forecasting time series data that assume values in the standa…

stat.ME2018

Beta regression control chart for monitoring fractions and proportions

Fábio Mariano Bayer, Catia Michele Tondolo, Fernanda Maria Müller

Regression control charts are usually used to monitor variables of interest that are related to control variables. However, for fraction and/or proportion data, the use of standard…

stat.CO2017

Bootstrap-based inferential improvements in beta autoregressive moving average model

Bruna Gregory Palm, Fábio M. Bayer

We consider the issue of performing accurate small sample inference in beta autoregressive moving average model, which is useful for modeling and forecasting continuous variables t…