A comparative study of the Poisson regression, Linear regression, and Lasso regression models has been done to predict the nature of such behavior and forecast the generated electric power by the ...

Although the Poisson-exponential regression model under the last activation scheme was firstly suggested by the TTT plot graphical procedure presented above, for sake of comparison we fitted the ...

python machine-learning time-series orbit regression pytorch forecast bayesian-methods forecasting probabilistic-programming bayesian stan arima regression-models probabilistic bayesian-statistics ...

In this article, we introduce a neural network model for regression in which prediction uncertainty is quantified by Gaussian random fuzzy numbers (GRFNs), a newly introduced family of random fuzzy ...