Citation Guide and Bibliography#
If you use NeMoS in a published academic article or presentation, please cite the code by the DOI. You can use the following:
Additionally, it may be a good idea to cite the following paper(s) depending on which component you use:
RaisedCosineLinearEvalorRaisedCosineLogEvalorRaisedCosineLinearConvorRaisedCosineLogConv: Pillow et al., 2005.
Bibliography#
Maurice G Cox. The numerical evaluation of b-splines. IMA Journal of Applied mathematics, 10(2):134–149, 1972.
Carl De Boor. On calculating with b-splines. Journal of Approximation theory, 6(1):50–62, 1972.
Arthur E Hoerl and Robert W Kennard. Ridge regression: biased estimation for nonorthogonal problems. Technometrics, 12(1):55–67, 1970.
Arthur E Hoerl and Robert W Kennard. Ridge regression: applications to nonorthogonal problems. Technometrics, 12(1):69–82, 1970.
John Ashworth Nelder and Robert WM Wedderburn. Generalized linear models. Journal of the Royal Statistical Society Series A: Statistics in Society, 135(3):370–384, 1972.
Jonathan W Pillow, Liam Paninski, Valerie J Uzzell, Eero P Simoncelli, and EJ Chichilnisky. Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model. Journal of Neuroscience, 25(47):11003–11013, 2005.
James O Ramsay. Monotone regression splines in action. Statistical science, pages 425–441, 1988.
Robert Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288, 1996.
Ming Yuan and Yi Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society Series B: Statistical Methodology, 68(1):49–67, 2006.
Hui Zou and Trevor Hastie. Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320, 2005.