Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.
X = e,) E, II (C(X)\n-1, y1)|X_1 = o - l=k+1 This then implies that Po (Yoon = yoon |X) = ei, Xi. H = ej) Po (XR = ei) = \,(klk) P (Yoo = yok) E0 | II (C(X) yi−1, y1)|X_1 = o - l=k+1 A very similar calculation shows that P, ...