Publications associées à Accurate parametric inference for small samples

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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

Accurate parametric inference for small samples

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Distributionally Robust Logistic Regression

Sparsity-Driven Statistical Inference for Inverse Problems

A Geometric View on Constrained M-Estimators

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

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

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

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

Exploratory Analysis of Endogeneity in Discrete Choice Models

Different parameters - same prediction. An analysis of learning curves

Identification of airway bacterial colonization by an electronic nose in Chronic Obstructive Pulmonary Disease

Sparsity-Driven Statistical Inference for Inverse Problems

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

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

Distributionally Robust Logistic Regression

A Geometric View on Constrained M-Estimators

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

Accurate Directional Inference for Vector Parameters in Linear Exponential Families

Exploratory Analysis of Endogeneity in Discrete Choice Models

Different parameters - same prediction. An analysis of learning curves

Identification of airway bacterial colonization by an electronic nose in Chronic Obstructive Pulmonary Disease