Nature

Linear Models and Regression articles from across Nature Portfolio

Distributional regression (DR) refers to regression methods that model the entire conditional probability distribution of a response variable given a set of explanatory variables. The generalized ...
BIOENGINEER

Linear Grid Models Lose Accuracy Under Wide Operating Conditions

IEEE 30-bus simulations show that fixed linear power-flow models become less accurate as operating conditions expand, while ...

Your First Predictive Model: Choosing Between Linear Regression and Logistic Regression

We have cleaned, visualized, and checked the relationships in the data. Now, we move on to prediction. The first models you ...

The era where AI solves even linear mixed models has arrived! However, at the same time, the danger of p-hacking also exists!!

I have been continuing experiments on generative AI and research ethics lately; how is everyone doing? The tone of the title ...
BIOENGINEER

Simple beats deep: linear interpolation outperforms AI models when real-world clinical data goes missing

A new benchmark study shows that simple linear imputation methods outperform deep learning models when realistic ...
lse

Generalised Linear Modelling and Survival Analysis

This course is available on the MSc in Data Science, MSc in Financial Statistics, MSc in Financial Statistics (Research), MSc in Health Data Science, MSc in Statistics and MSc in Statistics (Research) ...