J. Diebolt et D. Guegan, TAIL BEHAVIOR OF THE STATIONARY DENSITY OF GENERAL NONLINEAR AUTOREGRESSIVE PROCESSES OF ORDER-1, Journal of Applied Probability, 30(2), 1993, pp. 315-329
We examine the main properties of the Markov chain X(t) = T(X(t -1)) sigma(X(t - 1))epsilon(t). Under general and tractable assumptions, w
e derive bounds for the tails of the stationary density of the process
{X(t)} in terms of the common density of the epsilon(t)'s.