A Gaussian Process model for Heteroscedasticity June 28, 2021SaremBayesian Methods, Gaussian Process, Julia, Machine Learning, Probability, Uncertainty
Bayesian harmonic regression and a poor man’s spike-and-slab prior December 1, 2020SaremBayesian Methods, Forecasting, Julia, Time Series, Uncertainty
Why probability and uncertainty should be an integral part of regression models (II) October 9, 2020SaremJulia, Linear Model, Machine Learning, Probability, Regression, Statistics, Uncertainty
Why probability and uncertainty should be an integral part of regression models (I) June 26, 2020SaremJulia, Regression, Statistics, Uncertainty
Some interesting observations with Distance Correlation coefficients May 15, 2020Sarem2 CommentsData Analysis, Feature Selection, Julia
A brief, probabilistic demand forecast model May 7, 2020SaremAlgorithms, Applications, Forecasting, Julia, Machine Learning, Time Series
Generalized Additive Neural Networks December 17, 2019Sarem2 CommentsInterpretable Machine Learning, Julia, Linear Model, Machine Learning, Neural Networks
Some experiments with Local Linear Regression. Part I – A primer on Local Linear Regression November 30, 2019SaremAlgorithms, Interpretable Machine Learning, Linear Model
