IEEE Transactions on Information Theory · 1989 · 78 citations · 11 references
EngineeringIndustrial EngineeringDynamical SystemsStochastic ProcessesTime Series AnalysisGaussian ProcessesMarkov ProcessesMatrix ComputationSpectral AnalysisStationarity AnalysisStationary ProcessesCovarianceCovariance Stationary ProcessesEigenvalue ComputationGaussian Stationary ProcessesStationary Processes EstimationStationary Random ProcessesToeplitz Sequences
The class of nonnegative definite Toeplitz matrices that can be embedded in nonnegative definite circulant matrices of a larger size is characterized. An equivalent characterization in terms of the spectrum of the underlying process is also presented, together with the corresponding extremal processes. It is shown that a given finite-duration sequence rho can be extended to be the covariance of a periodic stationary processes whenever the Toeplitz matrix R generated by this sequence is strictly positive definite. The sequence rho =1, cos alpha , cos 2 alpha with ( alpha / pi ) irrational, which has a unique nonperiodic extension as a covariance sequence, demonstrates that the strictness is needed. A simple constructive proof supplies a bound on the abovementioned period in terms of the minimal eigenvalue of R. It also yields, under the same conditions, an extension of rho to covariances that eventually decay to zero. For the maximum-likelihood estimate of the covariance of a stationary Gaussian process, the extension length required for using the estimate-maximize iterative algorithm is determined.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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On the Convergence Properties of the EM Algorithm
Changbao Wu · The Annals of Statistics · 1983 · 3.3K citations · Full text
Stephen Hoffman · American Mathematical Monthly · 1968 · 1.2K citations