Publications associées à Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data

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Fingerprinting the reactive toxicity pathways of 50 drinking water disinfection by-products

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

Sparsistency of $\ell_1$-Regularized $M$-Estimators

EMG-based learning approach for estimating wrist motion

A Novel Acute Retroviral Syndrome Severity Score Predicts the Key Surrogate Markers for HIV-1 Disease Progression

Exploratory Analysis of Endogeneity in Discrete Choice Models

Investigating the Monthly Mean Stream Temperature Dynamics

Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Fingerprinting the reactive toxicity pathways of 50 drinking water disinfection by-products

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

A Novel Acute Retroviral Syndrome Severity Score Predicts the Key Surrogate Markers for HIV-1 Disease Progression

Exploratory Analysis of Endogeneity in Discrete Choice Models

EMG-based learning approach for estimating wrist motion

Investigating the Monthly Mean Stream Temperature Dynamics