comparison draft.tex @ 69:3fa185431bbc

Ref

 %	 change point detection \cite{Dubnov2008}. 
 	 %TODO
 
 	 We are currently working towards methods for the computation of predictive information
 	 rate in some restricted classes of Gaussian processes including finite-order
-	 autoregressive models and processes with power-law spectra (fractionally integrated Gaussian noise). %(fBm continuous vs fiGn discrete time)
+	 autoregressive models and processes with power-law spectra (fractionally integrated Gaussian noise).
+	 
+%	 %(fBm (continuous), fiGn discrete time) possible reference:
+%			@book{palma2007long,
+%		  title={Long-memory time series: theory and methods},
+%		  author={Palma, W.},
+%		  volume={662},
+%		  year={2007},
+%		  publisher={Wiley-Blackwell}
+%	}
+
+
 
 %	 mention non-gaussian processes extension Similarly, the predictive information
 %	 rate may be computed using a Gaussian linear formulation CITE. In this view,
 %	 the PIR is a function of the correlation  between random innovations supplied
 %	 to the stochastic process.  %Dubnov, MacAdams, Reynolds (2006) %Bailes and Dean (2009)