The log-linear group-lasso estimator and its asymptotic properties (Q442085)

scientific article; zbMATH DE number 6064469

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English	The log-linear group-lasso estimator and its asymptotic properties	scientific article; zbMATH DE number 6064469

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instance of

scholarly article

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title

The log-linear group-lasso estimator and its asymptotic properties (English)

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9 August 2012

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full work available at URL

https://arxiv.org/abs/0709.3526

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https://projecteuclid.org/euclid.bj/1340887009

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zbMATH Keywords

consistency

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model selection

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describes a project that uses

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On the dependence of the Berry-Esseen bound on dimension

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Q4209222

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Q4097679

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Discrete Multivariate Analysis Theory and Practice

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On modified logarithmic Sobolev inequalities for Bernoulli and Poisson measures

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Q3995193

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Markov fields and log-linear interaction models for contingency tables

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The mode oriented stochastic search (MOSS) algorithm for log-linear models with conjugate priors

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Introduction to Graphical Modelling

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Nonconcave penalized likelihood with a diverging number of parameters.

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Three centuries of categorical data analysis: Log-linear models and maximum likelihood estima\-tion

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Asymptotic normality of posterior distributions for exponential families when the number of parameters tends to infinity.

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Best subset selection, persistence in high-dimensional statistical learning and optimization under $l_1$ constraint

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Persistene in high-dimensional linear predictor-selection and the virtue of overparametrization

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Q4089657

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The Group Lasso for Logistic Regression

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High-dimensional graphs and variable selection with the Lasso

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Central limit theorems for multinomial sums

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On the asymptotic properties of the group lasso estimator for linear models

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A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers

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On the central limit theorem in $R^ p$ when p$\rightarrow \infty$

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Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity

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Normal approximations to sums of scores based on occupancy numbers

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Goodness-of-fit statistics for discrete multivariate data

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On the geometry of discrete exponential families with application to exponential random graph models

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Theory of statistics

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Q3242473

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High-dimensional generalized linear models and the lasso

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Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

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High-dimensional Ising model selection using $\ell _{1}$-regularized logistic regression

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Structured variable selection and estimation

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Model Selection and Estimation in Regression with Grouped Variables

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Q3174050

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Identifiers

zbMATH Open document ID

1243.62107

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DOI

10.3150/11-BEJ364

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:442085