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The document discusses the historical development and applications of copula functions, tracing their origins back to the work of Hoe_ding and Fr_echet, and highlighting key contributions by Sklar and others. It emphasizes the evolution of copula models, particularly in dynamic settings, and critiques existing time-series analysis models for their limitations. The author proposes a novel model called kernel-based copula processes (KCPs) to better accommodate various data types and improve predictive capabil

Author

Sapto Indratno

Language

EN