TTMS13. Hidden Markov Model and its applications
Speaker: Dr. Nguyet Nguyen, Youngstown University.
Abstract: Hidden Markov Model (HMM) is a well-known model for signal detection based on Markov chain process. It has been used in many fields such as speech recognition, hand writing recognition, biomathematics, and financial economics. In this talk, I will give a brief introduction on HMM and introduce its applications. In particular, I will present my works with the HMM since 2012, and more details about its application on global stock trading in our recent published paper.