Analysing Accelerometer Data Using Hidden Markov Models
AIC Value for a Discrete Time Hidden Markov Model
Estimation Using the Baum-Welch Algorithm
BIC Value for a Discrete Time Hidden Markov Model
Cut-Off Point Method for Assigning Physical Activity Patterns
The Generalized Poisson Distribution
Estimation by Directly Maximizing the log-Likelihood
Calculating Forward and Backward Probabilities and Likelihood
Hidden Markov Method for Predicting Physical Activity Patterns
Algorithm for Decoding Hidden Markov Models (local or global)
Generating Realizations of a Hidden Markov Model
Training of Hidden Markov Models
Analysing Accelerometer Data Using Hidden Markov Models
Algorithm to Find Plausible Starting Values for Parameter Estimation
Algorithm for Decoding Hidden Markov Models (local)
The Generalized Poisson Distribution
The Generalized Poisson Distribution
Algorithm for Decoding Hidden Markov Models (global)
Analysing time-series accelerometer data to quantify length and intensity of physical activity using hidden Markov models. It also contains the traditional cut-off point method. Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014). <doi:10.1371/journal.pone.0114089>.