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 ...

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) ...
BIOENGINEER

Adaptive Hybrid Models Reshape Exchange Rate Return Forecasting

A new adaptive hybrid forecasting framework that dynamically reweights ARIMA, SETAR, and neural network components, augmented ...
News-Medical.Net

Machine learning models predict pathogen risk in drinking water

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...