On convergence rate bounds for a class of nonlinear Markov chains
A new approach is developed for evaluating the convergence rate for nonlinear
Markov chains (MC) based on the recently developed spectral radius technique of
Markovian coupling for linear MC and the idea of small nonlinear perturbations of
linear MC. The method further enhances recent advances in the problem of convergence
for such models.