Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...

Existing methods for the analysis of clustered, ordinal data are inappropriate for certain applications. We propose latent variable models for clustered ordinal data which are derived as natural ...

This paper presents a smooth regression model for ordinal data with longitudinal dependence structure. A marginal model with cumulative logit link is applied to cope with the ordinal scale and the ...

“Inscriptions” are a way of writing pieces of arbitrary information onto the Bitcoin blockchain. “Ordinals” are a convention used for tracking individual sats and linking them to inscriptions. This ...

Dr. James McCaffrey of Microsoft Research presents a simple technique he has used with good success, previously unpublished and without a standard name. The goal of an ordinal classification problem ...

Bitcoin Ordinals are a protocol introduced by Casey Rodarmor in January 2023, which enables data to be inscribed on Bitcoin’s blockchain by embedding content in transaction witnesses. This technology ...

Kyle Torpey has been writing about Bitcoin since 2013. His work has been featured in Fortune, Bitcoin Magazine, Wired UK, and many other media outlets. He has also attracted more than 50,000 followers ...