2026
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Vanunu, A., Fonseca, R., Galun, M., Nadler, B., Karnieli, A. (2026). Fire Detection Misalignments Between GOES ABI and VIIRS and Their Impact on GOES FDC Evaluation. Remote Sensing, 18 (6), 906.
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[Software]
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2025
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Cribari-Neto, F., Costa, E., Fonseca, R. (2025). Numerical stability enhancements in beta autoregressive moving average model estimation. Brazilian Journal of Probability and Statistics, 39 (4) 410 - 437.
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[Software]
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Saraiva, J. P. M., Fonseca, R. V., Negri, R. G., & Pinheiro, A. (2025). WECS: A wavelet energy correlation screening based method for unsupervised change detection using remote sensing image series. SOFTWARE IMPACTS, 24, 4.
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[Software]
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2024
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Fonseca, R., Morettin, P., & Pinheiro, A. (2024). Wavelet Feature Screening. Journal of Computational and Graphical Statistics, 33(4), 1310-1319.
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[Software]
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Fonseca, R. (2024). An Overview of Spectral Graph Wavelets. Time Series and Wavelet Analysis: Festschrift in Honor of Pedro A. Morettin, 239-246.
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[Software]
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2023
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Fonseca, R. V., Negri, R. G., Pinheiro, A., & Atto, A. M. (2023). Wavelet spatio-temporal change detection on multitemporal sar images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4013-4023.
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[Software]
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Fonseca, R., & Nadler, B. (2023). Distributed sparse linear regression under communication constraints. arXiv preprint arXiv:2301.04022.
[Link]
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2021
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Fonseca, R., Pinheiro, A., & Atto, A. (2021). Wavelet Spatio-Temporal Change Detection on multi-temporal PolSAR images. arXiv preprint arXiv:2103.14444.
[Link]
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2020
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Fonseca, R., Ludwig, G., Montoril, M., & Pinheiro, A. (2020). Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data. arXiv preprint arXiv:2001.05764.
[Link]
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Fonseca, R. V., & Pinheiro, A. (2020). Wavelet estimation of the dimensionality of curve time series. Annals of the Institute of Statistical Mathematics, 72(5), 1175-1204.
[Link]
[Matlab Codes]
[R Codes]
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2019
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Fonseca, R. V., Mondal, D., & Zhang, L. (2019). Wavelet variances for heavy‐tailed time series. Environmetrics, 30(6), e2563.
[Link]
[R Codes]
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Cribari-Neto, F., & Fonseca, R. V. (2019). A new log-linear bimodal Birnbaum–Saunders regression model with application to survival data. Brazilian Journal of Probability and Statistics, 33(2), 329-355.
[Link]
[R Codes]
[Ox Codes]
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2018
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Fonseca, R. V., & Cribari-Neto, F. (2018). Bimodal Birnbaum–Saunders generalized autoregressive score model. Journal of Applied Statistics, 45(14), 2585-2606.
[Link]
[R Codes]
[Ox Codes]
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Fonseca, R. V., & Cribari-Neto, F. (2018). Inference in a bimodal Birnbaum–Saunders model. Mathematics and Computers in Simulation, 146, 134-159.
[Link]
[R Codes]
[Ox Codes]
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2016
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Fonseca, R. V., Nobre, J. S., & Azevedo Farias, R. B. (2016). Comparative inference and diagnostic in a reparametrized Birnbaum-Saunders regression model. Chilean Journal of Statistics (ChJS), 7(1).
[Link]
[Codes]
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