On the rate of convergence for the length of the longest common subsequences in hidden Markov models

Abstract

Let (X, Y) = (Xn, Yn)n ≥ 1 be the output process generated by a hidden chain Z = (Zn)n ≥ 1, where Z is a finite state, aperiodic, time homogeneous, and irreducible Markov chain. Let LCn be the length of the longest common subsequences of X1, …, Xn and Y1, …, Yn. Under a mixing hypothesis, a rate of convergence result is obtained for E[LCn]/n.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…