Generation of stochastic time series via deep learning [PDF]
En els darrers anys, les tècniques generatives d'aprenentatge profund han vist un ampli ús, especialment en la generació d'imatges i text. Aquests mètodes també s'han mostrat prometedors en la generació de dades de sèries temporals, fins i tot en dominis
Vilella Piqué, Arnau
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Skew selection for factor stochastic volatility models. [PDF]
J Appl Stat, 2020 Nakajima J.
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$L^{2} $ AND $L^{1} $ CONTROL THEORETIC SMOOTHING SPLINES
, 2016 Alan Malek, M. Asadollahi
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Commensal bacteria drive endogenous transformation and tumour stem cell marker expression through a bystander effect. [PDF]
Gut, 2015 Wang X, Yang Y, Huycke MM.
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Conley Index Approach to Sampled Dynamics. [PDF]
SIAM J Appl Dyn Syst, 2020 Batko B +3 more
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Generalizing Koopman Theory to Allow for Inputs and Control. [PDF]
SIAM J Appl Dyn Syst, 2018 Proctory JL, Bruntonz SL, Kutzx JN.
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Non-familial cardiomyopathies in Lebanon: exome sequencing results for five idiopathic cases. [PDF]
BMC Med Genomics, 2019 Refaat MM +14 more
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Forecasting of the true satellite carbon monoxide data with ensemble empirical mode decomposition, singular value decomposition and moving average. [PDF]
J Appl StatPoongadan S, Lineesh MC.
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From Large Deviations to Semidistances of Transport and Mixing: Coherence Analysis for Finite Lagrangian Data. [PDF]
J Nonlinear Sci, 2018 Koltai P, Renger DRM.
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