The separation of modulated modes for the identification of modal damping through the use of Morlet wavelets instead of a complex modal analysis was undertaken here. Maximum likelihood estimation for modulated narrowband excitations will be presented. Sources can be sound and speech as well as noise...
aMaximum likelihood estimation of regression models with moving average errorswhen the root lies on the unit circle. Econometrica51(3), May, 799–820. 回归模型的最大可能性估计以移动平均数在单位圆errorswhen根说谎。 Econometrica51( 3), 5月, 799-820。[translate]...
The dependent variable generally follows theBernoulli distribution. The values of the coefficients are estimated usingmaximum likelihood estimation (MLE),gradient descent, andstochastic gradient descent. As with other classification algorithms like thek-nearest neighbors, aconfusion matrixis used to evaluate ...
One method for selecting a sample of m different elements from a file of n records is to repeatedly select a random element until we have m different ones. We show that the number of selections is on average smaller than 2 ln (2) m and that the algorithm has a linear running time if...
I want to know how one knows if you should consider ML or bootstrapping. I read the preface to Maximum Likelihood Estimation with Stata, Fourth Edition, http://www.stata.com/bookstore/pdf/ml4-preface.pdf I don't see a chapter on when ML is appropriate, unless that is covered in the...
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aMaximum likelihood estimation of regression models with moving average errors when the root lies on the unit circle. Econometrica 51(3), May, 799–820. 回归模型的最大可能性估计以移动平均数错误,当根在单位圆说谎。 Econometrica 51( 3), 5月, 799-820。[translate]...
Maximum-likelihood recursive nonlinear filtering The basic model for the general nonlinear filtering problem consists of a nonlinear plant driven by noise followed by nonlinear observation with additive noise. The object is to estimate, at each instant, the current state of the plant, ......
(2007). Quasi-maximum likelihood estimation in GARCH processes when some coefficients are equal to zero. Stochastic Processes and their Applications, 117, 1265-1284.Christian Francq,Jean-michel Zakoian.Quasi-maximum Likelihood Estimation in GARCH Processes When Some Coefficients Are Equal to Zero....
Each version of the model was fitted to the individual participant’s leaving time (LT) data using maximum likelihood estimation. Specifically, LT distributions were computed for each participant and condition. This LT distribution was compared to the LT generated by the model through repeated sim...