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Estimating the Smoothing Parameter in the So-called Hodrick-Prescott Filter
adaptive estimation Hodrick-Prescott filter Kalman-Bucy Kalman filtering orthogonal parametrization, random walk, seasonal adjustment, spline state-space models time-series time-varying coefficients trend Whittaker-Henderson graduation
2009/3/9
This note gives a statistical description of the Hodrick-Prescott Filter (1997), originally proposed by Leser (1961). A maximum-likelihood estimator is derived and a related moments estimator is propo...
A Consistent Estimator of the Smoothing Parameter in the Hodrick-Prescott Filter
Adaptive estimation Gaussian process Hodrick-Prescott filter orthogonal parametrization
2009/3/5
The so-called Hodrick-Prescott filter was first introduced in actuarial science to estimate trends from claims data and now is widely used in economics and finance to estimate and predict e.g. busines...