2014/01/01 by Roberto Rossi, Rossi Roberto, Steven Prestwich +3
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Computer science #Constraint Satisfaction and Optimization #Data Management and Algorithms #cs.AI #stat.ME
paper · pdf · open access · doi:10.3233/978-1-61499-419-0-777
published in Frontiers in artificial intelligence and applications
openalex publication_date 2014/01/01 · arxiv created 2014/08/14 · arxiv updated 2014/09/09 · openalex created_date 2025/02/21 · openalex updated_date 2026/08/01
We introduce statistical constraints, a declarative modelling tool that links statistics and constraint programming. We discuss two statistical constraints and some associated filtering algorithms. Finally, we illustrate applications to standard problems encountered in statistics and to a novel inspection scheduling problem in which the aim is to find inspection plans with desirable statistical properties.