Salles R, Pacitti E, Bezerra E, Porto F, Ogasawara E (2022). “TSPred: A framework for nonstationary time series prediction.” Neurocomputing, 467, 197–202.

Salles R, Assis L, Guedes G, Bezerra E, Porto F, Ogasawara E (2017). “A Framework for Benchmarking Machine Learning Methods Using Linear Models for Univariate Time Series Prediction.” In The 2017 International Joint Conference on Neural Networks (IJCNN).

Salles RP, Ogasawara E (2025). TSPred: Functions for Baseline-Based Time Series Prediction. R package version 5.1.1, https://CRAN.R-project.org/package=TSPred.

Corresponding BibTeX entries:

  @Article{TSPredNeurocomputing,
    title = {TSPred: A framework for nonstationary time series
      prediction},
    author = {Rebecca Salles and Esther Pacitti and Eduardo Bezerra and
      Fabio Porto and Eduardo Ogasawara},
    journal = {Neurocomputing},
    year = {2022},
    volume = {467},
    pages = {197--202},
    publisher = {Elsevier},
  }

  @InProceedings{TSPredIJCNN,
    title = {A Framework for Benchmarking Machine Learning Methods
      Using Linear Models for Univariate Time Series Prediction},
    author = {Rebecca Salles and Laura Assis and Gustavo Guedes and
      Eduardo Bezerra and Fabio Porto and Eduardo Ogasawara},
    booktitle = {The 2017 International Joint Conference on Neural
      Networks ({IJCNN})},
    year = {2017},
  }

  @Manual{TSPred,
    title = {{TSPred}: Functions for Baseline-Based Time Series
      Prediction},
    author = {Rebecca Pontes Salles and Eduardo Ogasawara},
    year = {2025},
    note = {R package version 5.1.1},
    url = {https://CRAN.R-project.org/package=TSPred},
  }