Publications associées à MMSE Estimation of Sparse Levy Processes

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Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

MMSE Estimation of Sparse Levy Processes

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Estimation Error of the Constrained Lasso

Functional Central Limit Theorem for the Interface of the Symmetric Multitype Contact Process

Sparsity-Driven Statistical Inference for Inverse Problems

Impact of synchrophasor measurement types and uncertainties on the accuracy of distribution system linear state estimators

Multitask diffusion LMS with sparsity-based regularization

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

An Adaptive Multiscale Finite Element Method

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

MAP Estimation for Bayesian Mixture Models with Submodular Priors

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

Sparsity-Driven Statistical Inference for Inverse Problems

An Adaptive Multiscale Finite Element Method

Estimation Error of the Constrained Lasso

Functional Central Limit Theorem for the Interface of the Symmetric Multitype Contact Process

Impact of synchrophasor measurement types and uncertainties on the accuracy of distribution system linear state estimators

Multitask diffusion LMS with sparsity-based regularization

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

MAP Estimation for Bayesian Mixture Models with Submodular Priors

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling