A Generic Path Algorithm for Regularized Statistical Estimation
From MaRDI portal
Publication:4975409
DOI10.1080/01621459.2013.864166zbMath1367.62223arXiv1201.3571OpenAlexW2146031909WikidataQ42905187 ScholiaQ42905187MaRDI QIDQ4975409
Publication date: 4 August 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1201.3571
regularizationordinary differential equationsquasi-likelihoodgeneralized linear modelLassoGaussian graphical modelsolution pathlog-concave density estimationshape restricted regression
Density estimation (62G07) Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)
Related Items
Solution path for quantile regression with epsilon-insensitive loss in a reproducing kernel Hilbert space, Primal path algorithm for compositional data analysis, LARS-type algorithm for group Lasso, Path following in the exact penalty method of convex programming, Efficient regularized regression with \(L_0\) penalty for variable selection and network construction, Efficient computation for differential network analysis with applications to quadratic discriminant analysis, Model Selection for High-Dimensional Quadratic Regression via Regularization, Algorithms for Fitting the Constrained Lasso, Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization, Unnamed Item
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sparse inverse covariance estimation with the graphical lasso
- The solution path of the generalized lasso
- Inference and modeling with log-concave distributions
- Limit distribution theory for maximum likelihood estimation of a log-concave density
- An improved model averaging scheme for logistic regression
- Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
- Least angle regression. (With discussion)
- An active set algorithm to estimate parameters in generalized linear models with ordered predictors
- On the ``degrees of freedom of the lasso
- Piecewise linear regularized solution paths
- An ordinary differential equation-based solution path algorithm
- Numerical Analysis for Statisticians
- $\ell_1$ Trend Filtering
- Ideal spatial adaptation by wavelet shrinkage
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Detecting the Presence of Mixing with Multiscale Maximum Likelihood
- A new approach to variable selection in least squares problems
- Sparsity and Smoothness Via the Fused Lasso
- Parametrically guided generalised additive models with application to mergers and acquisitions data
- Quantile Regression in Reproducing Kernel Hilbert Spaces
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers