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Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise.

, , , and . ISIT, page 1086-1090. IEEE, (2018)

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Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances., , , and . IEEE Signal Process. Lett., 22 (12): 2450-2454 (2015)Convergence results for tractable inference in α-stable stochastic processes., , and . DSP, page 1-5. IEEE, (2017)Greedy Reduction Algorithms for Mixtures of Exponential Family., , , and . IEEE Signal Process. Lett., 22 (6): 676-680 (2015)Maximum entropy properties of discrete-time first-order stable spline kernel., , , , , and . CoRR, (2015)A central limit theorem with application to inference in \(\alpha\)-stable regression models., , and . NIPS Time Series Workshop, volume 55 of JMLR Workshop and Conference Proceedings, page 70-82. JMLR.org, (2016)On mixture reduction for multiple target tracking., , , and . FUSION, page 692-699. IEEE, (2012)Skew-t inference with improved covariance matrix approximation., , , and . CoRR, (2016)Maximum entropy property of discrete-time stable spline kernel., and . ICASSP, page 3676-3680. IEEE, (2015)An adaptive PHD filter for tracking with unknown sensor characteristics., and . FUSION, page 1736-1743. IEEE, (2013)Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise., , , and . ISIT, page 1086-1090. IEEE, (2018)