2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/133619The problem of joint universal source coding and modeling, treated in the context of lossless codes by Rissanen, was recently generalized to fixed-rate lossy coding of finitely parametrized continuous-alphabet i.i.d. sources. We extend these results to variable-rate lossy block coding of stationary ergodic sources and show that, for bounded metric distortion measures, any finitely parametrized family of stationary sources satisfying suitable mixing, smoothness and Vapnik-Chervonenkis learnability conditions admits universal schemes for joint lossy source coding and identification. We also give several explicit examples of parametric sources satisfying the regularity conditions.5 pages, 1 eps figure; to appear in Proc. ISIT 2007Information TheoryMachine LearningJoint universal lossy coding and identification of stationary mixing sourcestext