E. Masry, STRONG CONSISTENCY AND RATES FOR DECONVOLUTION OF MULTIVARIATE DENSITIES OF STATIONARY-PROCESSES, Stochastic processes and their applications, 47(1), 1993, pp. 53-74
We consider the estimation of the multivariate probability density fun
ctions of stationary random processes from noisy observations. The str
ong consistency and almost sure convergence rates for kernel-type deco
nvolution estimators is established for strongly mixing processes. The
dependence of the a.s. convergence rates on the noise distribution is
examined; both ordinary and super smooth noise distributions are cons
idered.