163 citations · 1.5k across the 45 of their papers we have counts for
5 papers · 1 filter
Kumaraswamy autoregressive moving average models for double bounded environmental data
Fábio Mariano Bayer, Débora Missio Bayer, Guilherme Pumi
In this paper we introduce the Kumaraswamy autoregressive moving average models (KARMA), which is a dynamic class of models for time series taking values in the double bounded inte…
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…
A Digital Hardware Fast Algorithm and FPGA-based Prototype for a Novel 16-point Approximate DCT for Image Compression Applications
F. M. Bayer, R. J. Cintra, A. Edirisuriya +1
The discrete cosine transform (DCT) is the key step in many image and video coding standards. The 8-point DCT is an important special case, possessing several low-complexity approx…
DCT-like Transform for Image Compression Requires 14 Additions Only
F. M. Bayer, R. J. Cintra
A low-complexity 8-point orthogonal approximate DCT is introduced. The proposed transform requires no multiplications or bit-shift operations. The derived fast algorithm requires o…
Variable dispersion beta regressions with parametric link functions
Diego Ramos Canterle, Fábio Mariano Bayer
This paper presents a new class of regression models for continuous data restricted to the interval , such as rates and proportions. The proposed class of models assumes a b…