Approximate message passing with rigorous guarantees for pooled data and quantitative group testing

DOI10.1137/23m1604928MaRDI QIDQ6633050

Pablo Pascual Cobo, Nelvin Tan, Jonathan Scarlett, Ramji Venkataramanan

Publication date: 5 November 2024

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

zbMATH Keywords

convex programminguniversalityapproximate message passingiterative thresholdingpooled dataBoolean group testingquantitative group testing

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Bayesian inference (62F15) Numerical mathematical programming methods (65K05) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

This page was built for publication: Approximate message passing with rigorous guarantees for pooled data and quantitative group testing