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 ...

“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 ...

Many economically important characteristics of agricultural crops are measured as ordinal traits. Statistical analysis of the genetic basis of ordinal traits appears to be quite different from regular ...

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 ...

We propose methods for regression analysis of repeatedly measured ordinal categorical data when there is nonmonotone missingness in these responses and when a key covariate is missing depending on ...

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 ...

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 James McCaffrey of Microsoft Research presents a simple technique he has used with good success, previously unpublished and without a standard name.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 ...