TY - JOUR CY - Amsterdam KW - Locally stationary processes; Evolutionary spectra; Kullback-Leibler divergence; time varying autoregressions VL - 62 EP - 168 JF - Stochastic processes and their applications N2 - A class of processes with a time varying spectral representationis introduced. A time varying spectral density is defined and a uniquenessproperty of this spectral density is established. As an example we study timevarying autoregressions. Several results on the asymptotic norm - andtrace behaviour of covariance matrices of such processes are derived. Asa consequence we prove a Kolmogorov formula for the local prediction error and calculate the asymptotic Kullback Leibler information divergence. ID - heidok20931 IS - 1 PB - Elsevier Y1 - 1996/// AV - public SP - 139 UR - https://archiv.ub.uni-heidelberg.de/volltextserver/20931/ A1 - Dahlhaus, Rainer SN - 0304-4149 TI - On the Kullback-Leibler Information Divergence of LocallyStationary Processes ER -