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In this article, we present a robust estimator for the parameters of a stationary, but not necessarily Gaussian, continuous-time ARMA(p,q) (CARMA(p,q)) process that is sampled equidistantly. Therefore, we propose an indirect estimation procedure that first estimates the parameters of the...
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In this paper, we present a multi-factor continuous-time autoregressive moving-average (CARMA) model for the short and forward interest rates. This model is able to present an adequate statistical description of the short and forward rate dynamics. We show that this is a tractable term structure...
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Just as ARMA processes play a central role in the representation of stationary time series with discrete time parameter, <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$(Y_n)_{n\in \mathbb {Z}}$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <msub> <mrow> <mo stretchy="false">(</mo> <msub> <mi>Y</mi> <mi>n</mi> </msub> <mo stretchy="false">)</mo> </mrow> <mrow> <mi>n</mi> <mo>∈</mo> <mi mathvariant="double-struck">Z</mi> </mrow> </msub> </math> </EquationSource> </InlineEquation>, CARMA processes play an analogous role in the representation of stationary time series with continuous time...</equationsource></equationsource></inlineequation>
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Estimation of a nonparametric regression spectrum based on the periodogram is considered. Neither trend estimation nor … smoothing of the periodogram are required. Alternatively, for cases where spectral estimation of phase shifts fails and the …
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This work considers the application of Periodogram and Fourier Series Analysis to model all-items monthly inflation … obtained from the Central Bank of Nigeria (CBN) website. Periodogram and Fourier series methods of analysis are used to analyze …
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