Therefore, in this paper, a logistic quantile regression (QR) model is provided to fill this gap and deal with continuous bounded outcomes with crash rate prediction. The crash data set from 2003 to ...

Logistic Properties of the Americas (NYSE American: LPA) (“LPA” or the “Company”) announced the execution of a new five-year U.S. dollar- denominated lease for 121,600 square feet of logistic space ...

R-codebase for a scientific research article, titled "Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework" ...

French AI startup Mistral is releasing its own “vibe coding” client, Mistral Code, to compete with incumbents like Windsurf, Anysphere’s Cursor, and GitHub Copilot. Mistral Code, a fork of ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

"It really caught on, this idea that people are no longer checking line by line the code that AI is producing, but just kind of telling it what to do and accepting the responses in a very trusting ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code behind the linear regression in python. Your Lane to ...