![Mathematical analysis / Probability / Stochastic processes / Stochastic differential equations / Markov models / Signal processing / Stationary process / Derivative / Spectrum / Normal distribution / OrnsteinUhlenbeck process / Markov chain Mathematical analysis / Probability / Stochastic processes / Stochastic differential equations / Markov models / Signal processing / Stationary process / Derivative / Spectrum / Normal distribution / OrnsteinUhlenbeck process / Markov chain](https://www.pdfsearch.io/img/b88f5628956d753367df38b1e37620c5.jpg) Date: 2002-12-09 16:28:18Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain | | STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we define a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. ThiAdd to Reading ListSource URL: www.maths.usyd.edu.auDownload Document from Source Website File Size: 173,01 KBShare Document on Facebook
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