Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

[3] Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models. Journal of the American Statistical Association (2021).

Monica Alexander ¹, Leontine Alkema ², Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model, Demographic Research, Vol. 38 (JANUARY - JUNE 2018), pp. 335-372 ...

Computer tools (R, Stan). Applications: Linear models in Regression and Classification (Bayesian Linear Regression, Generalized Linear Models, Logistic Regression), Cluster Analysis and Mixture ...

Naive Bayes regression is essentially a variation of basic linear regression. In simple linear regression, there is a single predictor variable x, and a single target variable y to predict. For ...

Bayesian Field Theory Nonparametric Approaches to Density Estimation, Regression, Classification, and Inverse Quantum ProblemsAbstract: Bayesian field theory denotes a nonparametric Bayesian approach ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...