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Non-Gaussian Price Dynamics and Implications for Option Pricing
(2012)
It is well known that the probability distribution of stock returns is non-Gaussian. The tails of the distribution are too “fat,” meaning that extreme price movements, such as stock market crashes, occur more often than ...
Non-markovianity Hierarchy of Gaussian processes and quantum amplification
(Physical Review Letters, 2017)
Coloring Non-Gaussian Sequences
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2008)
From Almost Gaussian To Gaussian
(AMER INST PHYSICSMELVILLE, 2015)
Long memory estimation in a non-Gaussian bivariate process
(Elsevier Inc., 2022)
Recovering Latent Signals from a Mixture of Measurements Using a Gaussian Process Prior
(IEEE, 2017)
In sensing applications, sensors cannot always mea-sure the latent quantity of interest at the required resolution, some-times they can only acquire a blurred version of it due the sensor’stransfer function. To recover ...
Deep gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer's diseases
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2022)
Modeling neonatal EEG using multi-output Gaussian processes
(IEEE, 2022)
Neonatal seizures are sudden events in brain activity with detrimental effects in neurological functions usually related to epileptic fits. Though neonatal seizures can be identified from electroencephalography (EEG), this ...
Gapped Gaussian smoothing technique for debonding assessment with automatic thresholding
(John Wiley and Sons Ltd, 2019)
© 2019 John Wiley & Sons, Ltd.Sandwich structures are subjected to imperfect bonding or debonding caused by defects during the manufacturing process, by fatigue, or by impact loads. In this context, their safety and ...