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Quantitative Finance · Glossário

O que é Hidden Markov model, regime-switching model, Viterbi algorithm?

Também chamado de: hidden Markov model · regime-switching model · Viterbi algorithm

Definition 20.2 Machine Learning for Markets · Capítulo 20 — Clustering, Regimes and Anomaly Detection

A hidden Markov model (HMM) has an unobserved state that follows a Markov chain (Book 4, chapter 8) and observations whose distribution depends on the current state; it is fitted by expectation-maximisation (Book 4, chapter 19), the Baum–Welch algorithm (Rabiner, 1989). A regime-switching model is an HMM for economic series, each state a regime with its own mean, volatility or dynamics (Hamilton, 1989; Ang and Timmermann, 2012). The Viterbi algorithm finds the single most likely path of states given all the observations, by dynamic programming.

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