Research and development - Seminars
In this talk, Andrés presents a cutting-edge empirical analysis of the crypto ecosystem using modern statistical tools. Through a non-parametric Bayesian model, Diego examines over 1,000 digital assets and billions of price points to uncover key insights into the market’s structure, clustering dynamics, concentration levels, and evolution over time. This flexible approach avoids imposing fixed assumptions, allowing hidden patterns to emerge directly from the data—especially in response to events that reshape the crypto landscape. A must-watch for anyone seeking a rigorous and data-driven understanding of the blockchain universe beyond the speculative noise.
YouTube – Quantil Matemáticas Aplicadas
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