Ricart–Agrawala algorithm: Difference between revisions

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'''BHHH''' is an [[Optimization (mathematics)|optimization]] [[algorithm]] in [[numerical optimization]] similar to [[Gauss–Newton algorithm]]. It is an [[Acronym and initialism|acronym]] of the four originators: Berndt, B. Hall, R. Hall, and [[Jerry Hausman]].
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==Usage==
If a [[nonlinear]] model is fitted to the [[data]] one often needs to estimate [[coefficient]]s through [[Optimization (mathematics)|optimization]]. A number of optimisation algorithms have the following general structure. Suppose that the function to be optimized is ''Q''(''β''). Then the algorithms are iterative, defining a sequence of approximations, ''β<sub>k</sub>'' given by
:<math>\beta_{k+1}=\beta_{k}-\lambda_{k}A_{k}\frac{\partial Q}{\partial \beta}(\beta_{k}),</math>,
 
where <math>\beta_{k}</math> is the parameter estimate at step k, and <math>\lambda_{k}</math> is a parameter (called step size) which partly determines the particular algorithm. For the BHHH algorithm ''&lambda;<sub>k</sub>'' is determined by calculations within a given iterative step, involving a line-search until a point ''&beta;<sub>k''+1</sub> is found satisfying certain criteria. In addition, for the BHHH algorithm, ''Q'' has the form
 
:<math>Q = \sum_{i=1}^{N} Q_i</math>
and ''A'' is calculated using
:<math>A_{k}=\left[\sum_{i=1}^{N}\frac{\partial \ln Q_i}{\partial \beta}(\beta_{k})\frac{\partial \ln Q_i}{\partial \beta}(\beta_{k})'\right]^{-1} .</math>
In other cases, e.g. [[Newton-Raphson]], <math>A_{k}</math> can have other forms. The BHHH algorithm has the advantage that, if certain conditions apply, convergence of the iterative procedure is guaranteed.{{cn|date=March 2013}}
 
==Literature==
*Berndt, E., B. Hall, R. Hall, and J. Hausman, (1974), [http://elsa.berkeley.edu/~bhhall/papers/BerndtHallHallHausman74.pdf “Estimation and Inference in Nonlinear Structural Models”], ''Annals of Economic and Social Measurement'', 3, 653&ndash;665.
*Luenberger, D. (1972), ''Introduction to Linear and Nonlinear Programming'', Addison Wesley, Reading Massachusetts.
*Gill, P., W. Murray, and M. Wright, (1981), ''Practical Optimization'', Harcourt Brace and Company, London
*Sokolov, S.N., and I.N. Silin (1962), “Determination of the coordinates of the minima of functionals by the linearization method”, Joint Institute for Nuclear Research preprint D-810, Dubna.
 
{{DEFAULTSORT:Bhhh Algorithm}}
[[Category:Econometrics]]
[[Category:Optimization algorithms and methods]]

Latest revision as of 21:05, 10 October 2014

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