Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
CEO of Paul M. Wendee & Associates, LLC; Publisher of the Intrinsic Value Wealth Report Newsletter; Founder of the Value Driver Institute. To make sound business and investment decisions, business ...
Dataset: survey ratings (1–10 scale) Target variable: Writing Methods: CUB (in R), Proportional Odds Model (in Python) Goal: Compare model adequacy and interpret ordinal responses ...
Abstract: Closed-loop control is widely adopted in industrial processes. It brings challenges for dynamic latent modeling and monitoring. Multirate process measurements in real applications even ...
ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.
What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...
TIOBE Programming Index News May 2025: Python Hits Major Milestone Your email has been sent Python holds the highest share of interest in a programming language in decades Go, Rust, and other ...
Determining whether a claimed invention is obvious under 35 U.S.C. § 103 often depends on whether the prior art provides a clear motivation for modifying existing knowledge. Central to this analysis ...
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