Variable Selection in Regression-A Tutorial. Journal Chemometrics 2010, 24, 728-737. DOI: 10.1002/cem.1360.C.M. Andersen, R. Bro, Variable selection in regression--a tutorial, J. Chemom. 24 (2010) 728-737.Andersen CM, Bro R (2010) Variable selection in regression--a tutorial. J ...
Y. Gal, M. V. D. Wilk, Variational inference in sparse gaussian process regression and latent 580 variable models - a gentle tutorial, arXiv preprint arXiv:1402.1412.Yarin Gal and Mark van der Wilk. Variational inference in the Gaussian process latent variable model and sparse GP regression ...
SPSS Dummy Variable Regression TutorialBy Ruben Geert van den Berg under Regression Using categorical predictors in multiple regression requires dummy coding. So how to use such dummy variables and how to interpret the resulting output? This tutorial walks you through....
Variable selection in regression: a tutorial. J. Chemom. 24, 728-737. http://dx.doi.org/10.1002/cem.1360.Andersen CM, Bro R (2010) Variable selection in regression—a tutorial. J Chemom 24(11–12):728–737C.M. Andersen, R. Bro, Variable selection in regression--a tutorial, J. ...
M., & Bro, R. (2010). Variable selection in regression-a tutorial. Journal of Chemometrics, 24(11-12), 728-737.Andersen, C.M., and R. Bro. 2010. Variable selection in regression--A tutorial. J. Chemometr. 24:728-737. doi:10.1002/cem.1360...
Hayes, A. F., & Montoya, A. K. (2016). A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Invited manuscript submitted for publication. Retrieved from http://afhayes.com/public/cmminreview.pdf...
Hayes, A. F., & Montoya, A. K. (2017). A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Communication Methods and Measures, 11(1), 1-30. http://dx.doi.org/10.1080/19312458.2016.1271116...
A neural network regression model known as Long Short-Term Memory (LSTM) was trained using several years of daily data, enabling the prediction of SW variables up to one week in advance (referred to as lead time) with satisfactory accuracy. The model’s performance was evaluated by comparing ...