Abstract: This paper develops the Geographically Weighted Poisson Generalized Inverse Gaussian Regression (GWPGIGR) model for spatial count data exhibiting both nonstationarity and complex dispersion.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...

Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

Abstract: Sparse-view CT reduces radiation dose but leads to an ill-posed inverse problem that challenges accurate reconstruction. While deep learning and diffusion-based methods have shown promising ...

ABSTRACT: This study investigated the relationship between six self-assessed work personality traits and three self-assessed aspects of economic behaviour: how respondents rate their personal wealth, ...

Many businesses are just beginning to grapple with the impact of artificial intelligence, but some have been using machine learning (ML) and other emerging technologies for over a decade. Also: Most ...

The recent release of the rcssci R package represents a significant advancement in the way researchers visualize and analyze complex relationships between continuous variables and their outcomes. The ...