Continuous Time Markov Chain
Simulation of customer behaviour in a supermarket based on Markov Chain.
Multi source information fusion method based on Bayesian - Markov theory and its application in geological stochastic inversion
Functions and examples for estimating transition probabilities on proportional data
Continuous Time Markov Chain for daily panel data and annual transition probabilities
A high-performance Python library for sequence probability estimation, next-state prediction, Markov attribution modeling, and AI agent trajectory analysis using Discrete-Time Markov Chains (DTMC).
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