Subsequently, an adaptive transition probability-based parallel IMM algorithm is proposed in this paper. Finally, three maneuvering target tracking simulations are conducted to verify the performance ...

These functions can be used to determine the cluster labels for each time point, centroids of the clusters, and calculate the GEV and other observables of the estimated state-transition dynamics ...

This class simulates a Markov chain for one customer based on Markov states and the transition probability matrix defined above. The function arrival_time_from_hour_distribution in simulation_tools.py ...

Graph visualization of the weighted and directed labor market network derived from the transition probability matrix, computed from data spanning the years 2012 to 2020.