For the dichotomous outcome, we used a linear probability model with fixed effects. A linear probability model is an ordinary least squares regression model that uses a dichotomous outcome.

In this test, the Optimizable GPR model shows the highest accuracy and it stands as the most effective solution for NV estimation. Combining these results lead to the proposed Adaptive Optimizable ...

Expectation-maximization alternating least squares for tensor network logistic regression Updated Naoya Yamauchi 1 Hidekata Hontani 1 Tatsuya Yokota 1,2 * ...

Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis. Journal of the Royal Statistical Society Series B Statistical Methodology, 31, 350-371.

The Galaxy S25 and Galaxy S25 Plus are here! They look a lot familiar, but there are a couple of small tweaks that surprised me. Here's our first look!

The authors applied exploratory spatial data analysis to assess spatial autocorrelations and investigated relationships by the ordinary least squares regression model. Results Between 2017 and 2021, ...

A novel regression model, monotonic inner relation-based non-linear partial least squares (MIR-PLS), is proposed to address complex issues like limited observations, multicollinearity, and ...