𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The convergence of an instrumental-variable-like recursion

✍ Scribed by V. Solo


Publisher
Elsevier Science
Year
1981
Tongue
English
Weight
179 KB
Volume
17
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.

✦ Synopsis


The convergence of a modified form of the IV 6nstrumental-variable) recursion (actually a case of the integral adaptation algorithm of Landau) for the parameters of a scalar transfer function time series model is considered. It is known that this algorithm requires at least a positive real condition for its convergence. Here it is shown that the recursion converges without being monitored. In any case, the result is disappointing because the positive real condition depends on the transfer function characteristic function.


πŸ“œ SIMILAR VOLUMES


Convergence of identification methods ba
✍ T. SΓΆderstΓΆm πŸ“‚ Article πŸ“… 1974 πŸ› Elsevier Science 🌐 English βš– 229 KB

Ha HCIIOJIb3OBaHHH nepeMesH~x oS~excra ## T. SODERSTOMt Snmmary--A class of identification methods, proposed in [3], am based on the instrumental variable principle. This correspondence contains a continued analysis of convergence of the parameter estimates of these methods. Alternative, sui~cien

The productivity of mental health care:
✍ Mingshan Lu πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 111 KB πŸ‘ 3 views

Background: Like many other medical technologies and treatments, there is a lack of reliable evidence on treatment effectiveness of mental health care. Increasingly, data from non-experimental settings are being used to study the effect of treatment. However, as in a number of studies using non-expe

IDENTIFICATION OF PHYSICAL PARAMETERS US
✍ S. Seibold πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 280 KB

This paper deals with the identification of physical parameters in time domain. The procedure employed is the instrumental variables (IV) method, which yields consistent and asymptotically unbiased estimates even in the presence of measurement noise, which means that the parameters will converge to

Mendelian randomization: the use of gene
✍ Stephanie von Hinke Kessler Scholder; George Davey Smith; Debbie A. Lawlor; Caro πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 71 KB

Mendelian randomization refers to studies that exploit the random assignment of individuals' genotypes (Davey Smith and Ebrahim, 2003). Economists are increasingly interested in the use of genetic variants as instrumental variables (IV) to identify the effect of a modifiable (non-genetic) risk facto