Research

Research Interest

I have worked in data science, signal processing, and statistics (my CV). Some selected works are listed below.  

- CINTRA, R. J.; BAYER, F. M.. A DCT Approximation for Image Compression. IEEE Signal Processing Letters, v. 18, p. 579-582, 2011.

- BAYER, F. M.; CRIBARI-NETO, F.. Bartlett corrections in beta regression models. Journal of Statistical Planning and Inference, v. 143, p. 531-547, 2013.

- BAYER, F. M.; CRIBARI-NETO, F.. Bootstrap-based model selection criteria for beta regressions. Test (Madrid), v. 24, Issue 4, p. 776-795, 2015.

- COUTINHO, V. A.; CINTRA, R. J.; BAYER, F. M.. Low-complexity Multidimensional DCT Approximations for High-order Tensor Data Decorrelation. IEEE Transactions on Image Processing, v. 26, p. 2296 - 2310, 2017.

- BAYER, F. M.; BAYER, D. M.; PUMI, G.. Kumaraswamy autoregressive moving average models for double bounded environmental data. Journal of Hydrology, v. 555, p. 385-396, 2017.

- BAYER, F. M.; KOZAKEVICIUS, A. J.; CINTRA, R. J.. An Iterative Wavelet Threshold for Signal Denoising. Signal Processing (Elsevier), v. 162, p. 10-20, 2019.

- BAYER, F. M.; BAYER, D. M.; MARINONI, A.; GAMBA, P.. A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation. IEEE Transactions on Geoscience and Remote Sensing, v. 58, p. 4989-4999, 2020.

- PALM, B. G. ; BAYER, F. M. ; CINTRA, R. J. . 2-D Rayleigh autoregressive moving average model for SAR image modeling. Computational Statistics & Data Analysis, v. 171, p. 107453, 2022.

Please, visit our Shiny app: Dynamical models for double bounded time series

My profiles on different platforms:

Research Groups