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We consider here together the inference questions and the change-point problem in Poisson autoregressions (see Tj{\o}stheim, 2012). The conditional mean (or intensity) of the process is involved as a ...
Riemannian statistics geometry is proposed in this work as a counterpart approach of inference geometry.
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection and smoothing using...
We introduce the notion of continuously invertible volatility models that relies on some Lyapunov condition and some regularity condition.
The paper presents a systematic theory for asymptotic inference of autocovariances of stationary processes.We consider nonparametric tests for serial correlations based on the maximum (or L1) and th...

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