E. Candès

activity

20042009

most citedSparsity and Incoherence in Compressive Sampling

2.1k citations · 2.9k across the 16 of their papers we have counts for

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4 papers · 1 filter

math.ST2008★ 294 cited

Near-ideal model selection by $ℓ_{1}$ minimization

Emmanuel J. Candès, Yaniv Plan

We consider the fundamental problem of estimating the mean of a vector $y = X β + z$ , where $X$ is an $n \times p$ design matrix in which one can have far more variables than observation…

math.ST2007★ 113 cited

Searching for a trail of evidence in a maze

Ery Arias-Castro, Emmanuel J. Candès, Hannes Helgason +1

Consider a graph with a set of vertices and oriented edges connecting pairs of vertices. Each vertex is associated with a random variable and these are assumed to be independent. I…

math.ST2006★ 2.1k cited

Sparsity and Incoherence in Compressive Sampling

Emmanuel Candes, Justin Romberg

We consider the problem of reconstructing a sparse signal $x^{0} \in R^{n}$ from a limited number of linear measurements. Given $m$ randomly selected samples of $U x^{0}$ , where $U$ is an…

math.ST2005

The Dantzig selector: Statistical estimation when $p$ is much larger than $n$

Emmanuel Candes, Terence Tao

In many important statistical applications, the number of variables or parameters $p$ is much larger than the number of observations $n$ . Suppose then that we have observations $y=…

Near-ideal model selection by ℓ1​ minimization

Searching for a trail of evidence in a maze

Sparsity and Incoherence in Compressive Sampling

The Dantzig selector: Statistical estimation when p is much larger than n

Near-ideal model selection by $ℓ_{1}$ minimization

The Dantzig selector: Statistical estimation when $p$ is much larger than $n$