Pages that link to "Item:Q1279695"
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The following pages link to On Newton's method for Huber's robust M-estimation problems in linear regression (Q1279695):
Displaying 12 items.
- A global piecewise smooth Newton method for fast large-scale model predictive control (Q644265) (← links)
- Another look at Huber's estimator: a new minimax estimator in regression with stochastically bounded noise (Q958808) (← links)
- Computation of Huber's \(M\)-estimates for a block-angular regression problem (Q959130) (← links)
- A new algorithm for the Huber estimator in linear models (Q1101199) (← links)
- Duality in robust linear regression using Huber's \(M\)-estimator (Q1372307) (← links)
- Algorithms for nonlinear M-estimation (Q1381515) (← links)
- On the characterization of quadratic splines (Q1774034) (← links)
- Distributed one-step upgraded estimation for non-uniformly and non-randomly distributed data (Q2242042) (← links)
- An analytical fuzzy-based approach to -gain optimal control of input-affine nonlinear systems using Newton-type algorithm (Q2792181) (← links)
- On the symmetry of m-estimators computed by the huber-dutter algorithm (Q3474062) (← links)
- Gauss–Newton Methods for Robust Parameter Estimation (Q4928945) (← links)
- An efficient Newton-type method for the computation of ML estimators in a uniform linear array (Q5355748) (← links)
