Carl Nettelblad
TDB, Department of Information Technology
Uppsala University
While there are more recent forms of statistical models for complex stochastic processes, hidden Markov models are still useful in many fields. I will discuss two applications, for analyzing the transmission of genetic material between parents and offspring, and a nascent collaboration with Vi2 regarding using a hidden Markov model as a "proofreading" stage when identifying words in written text. In addition, I will mention why you would want to solve a small ODE in a modification of the expectation-maximization (EM) parameter estimation algorithm.