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Bayesian interpretation of Generalized empirical likelihood by maximum entropy
We study a parametric estimation problem related to moment condition models. As an alternative to the generalized empirical likelihood (GEL) and the generalized method... -
Experimental identification of an uncertain computational dynamical model rep...
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A computational inverse method for identification of non-Gaussian random fiel...
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A stochastic model for elasticity tensors with uncertain material symmetries
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Nonparametric stochastic modeling of linear systems with prescribed variance ...
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Random matrix theory and non-parametric model of random uncertainties in vibr...
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Maximum entropy approach for modeling random uncertainties in transient elast...
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Random uncertainties modeling in transient elastodynamics
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A nonparametric model of random uncertainties for reduced matrix models in st...
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Some aspects of probabilistic modeling, identification and propagation of unc...
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Analysis of Spike-train Statistics with Gibbs Distributions: Theory, Implemen...
We propose a generalization of the existing maximum entropy models used for spike trains statistics analysis. We bring a simple method to estimate Gibbs distributions,... -
Applications of Projection NMR Techniques
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Analysis of large scale spiking networks dynamics with spatio-temporal constr...
Recent experimental advances have made it possible to record up to several hundreds of neurons simultaneously in the cortex or in the retina. Analyzing such data...
