On the efficient computation of the nonlinear full-information maximum- likelihood estimator
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Publication:1147506
DOI10.1016/0304-4076(80)90091-3zbMath0449.65092OpenAlexW2089720813MaRDI QIDQ1147506
Publication date: 1980
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(80)90091-3
test modelsnon-linear full information maximum likelihood estimatorreducing the computational costsparse matrix methodology
Applications of statistics to economics (62P20) Analysis of algorithms and problem complexity (68Q25) Probabilistic methods, stochastic differential equations (65C99)
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Cites Work
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- Two new unconstrained optimization algorithms which use function and gradient values
- On the computational competitiveness of full-information maximum- likelihood and three-stage least-squares in the estimation of nonlinear, simultaneous-equations models
- On the Estimation of Sparse Hessian Matrices
- An Adaptive Nonlinear Least-Squares Algorithm
- Computing Optimal Locally Constrained Steps
- Quasi-Newton Methods, Motivation and Theory
- A Rapidly Convergent Descent Method for Minimization
- Maximization by Quadratic Hill-Climbing
- The Estimation of Nonlinear Econometric Systems
- On the Relative Efficiencies of Gradient Methods
- A new approach to variable metric algorithms
- Conditioning of Quasi-Newton Methods for Function Minimization
- Some Results on Sparse Matrices