Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
From MaRDI portal
Publication:2933910
zbMath1318.62237arXiv1301.4566MaRDI QIDQ2933910
Gianluigi Pillonetto, James V. Burke, Aleksandr Y. Aravkin
Publication date: 8 December 2014
Full work available at URL: https://arxiv.org/abs/1301.4566
nonsmooth optimizationinterior point methodsconvex analysisrobust inferencestatistical modelingKalman smoothingsparsity optimization
Inference from stochastic processes and prediction (62M20) Ridge regression; shrinkage estimators (Lasso) (62J07) Robustness and adaptive procedures (parametric inference) (62F35) Interior-point methods (90C51)
Related Items (12)
Generalized System Identification with Stable Spline Kernels ⋮ Estimating shape parameters of piecewise linear-quadratic problems ⋮ Joint maximum \textit{a posteriori} state path and parameter estimation in stochastic differential equations ⋮ Generalized Kalman smoothing: modeling and algorithms ⋮ Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery ⋮ Maximum correntropy Kalman filter ⋮ Visualization of the \(\varepsilon \)-subdifferential of piecewise linear-quadratic functions ⋮ Fast robust methods for singular state-space models ⋮ Error Bounds, Quadratic Growth, and Linear Convergence of Proximal Methods ⋮ Strong Metric (Sub)regularity of Karush–Kuhn–Tucker Mappings for Piecewise Linear-Quadratic Convex-Composite Optimization and the Quadratic Convergence of Newton’s Method ⋮ Asymptotic linear expansion of regularized M-estimators ⋮ Linear-Time Convexity Test for Low-Order Piecewise Polynomials
This page was built for publication: Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory