Publications associées à Generalized least squares

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A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Generalized least squares

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Reduced Basis Approximation And A Posteriori Error Estimates For Parametrized Elliptic Eigenvalue Problems

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Towards More Accurate and Efficient Beamformed Radio Interferometry Imaging

A Universal Primal-Dual Convex Optimization Framework

From averaging to acceleration, there is only a step-size

Beyond Allan Variance - GMWM Framework For Sensor Calibration

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Towards More Accurate and Efficient Beamformed Radio Interferometry Imaging

Reduced Basis Approximation And A Posteriori Error Estimates For Parametrized Elliptic Eigenvalue Problems

From averaging to acceleration, there is only a step-size

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

A Universal Primal-Dual Convex Optimization Framework

Beyond Allan Variance - GMWM Framework For Sensor Calibration

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs