This is a preview. Log in through your library . Abstract In this paper we are primarily concerned with discrete time parameter Markov processes {X(n)}, n = 0, 1, 2, · · ·, with stationary transition ...

Figure 1: First-order Markov dynamics distort real constraints on flow. Although we considered passengers moving between cities in this illustration, we have analysed six diverse systems in detail, ...

High-order Markov chain models extend the conventional framework by incorporating dependencies that span several previous states rather than solely the immediate past. This extension allows for a ...

In this paper we show that any separable stochastic process on a compact metric space can be derived from a temporally homogeneous Markov process on the extreme points of a compact convex set of ...

If we can ‘talk’ to AI programs today, it’s in part because of a Russian from the 1800s. Markov’s approach to data in flux changed how we navigate our world. There’s an odd little trick to how AI ...

This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which ...