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20142018
most citedRobust Inference for State-Space Models with Skewed Measurement Noise

139 citations · 364 across the 12 of their papers we have counts for

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eess.SY2014★ 121 cited

Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances

Tohid Ardeshiri, Emre Özkan, Umut Orguner +1

We present an adaptive smoother for linear state-space models with unknown process and measurement noise covariances. The proposed method utilizes the variational Bayes technique t…

eess.SY2014

Maximum Entropy Property of Discrete-time Stable Spline Kernel

Tohid Ardeshiri, Tianshi Chen

In this paper, the maximum entropy property of the discrete-time first-order stable spline kernel is studied. The advantages of studying this property in discrete-time domain inste…