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A Non-Classical Parameterization for Density Estimation Using Sample Moments
Probability density estimation is a core problem of statistics and signal processing.
Identification of Low Rank Vector Processes
We study modeling and identification of stationary processes with a spectral density matrix of low rank.
Modeling of Low Rank Time Series
In this paper we study hidden dynamical relations between the components of a discrete-time stochastic vector process and investigate their properties with respect to stability and causality.
Modeling and Identification of Low Rank Vector Processes
We study modeling and identification of processes with a spectral density matrix of low rank.
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