Chapter 7

Various Observation Distributions

Abstract

Different applications are usually characterized by different observation distributions. There are many observation distributions defined for HSMMs in the literature. A mixture of distributions is often used to describe complexly distributed observations or a compounded observation distribution. A multispace probability distribution is applied to express a composition of different dimensional observation spaces, or a mixture of continuous and discrete ones. A segmental model is used to describe parametric trajectories that change over time. An event sequence model is used to model and analyze event-based random processes. This chapter presents all these typical observation distributions.

Keywords ...

Get Hidden Semi-Markov Models now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.