Ergodicity coefficients for higher-order stochastic processes
SIAM Journal on Mathematics of Data Science, vol. 2, pp. 740–769, 2020
The use of higher-order stochastic processes such as nonlinear Markov chains or vertex-reinforced random walks is significantly growing in recent years as they are much better at modeling high dimensional data and nonlinear dynamics in numerous application settings. In many cases of practical interest, these processes …
A note on certain ergodicity coefficients
Special Matrices, vol. 3, pp. 175–185, 2015
We investigate two ergodicity coefficients $\phi_{|| \cdot ||}$ and $\tau_{n-1}$, originally introduced to bound the subdominant eigenvalues of nonnegative matrices. The former has been generalized to complex matrices in recent years and several properties for such generalized version have been shown so far. We provide …