Two Classes of Covariance Matrices Giving Simple Linear Forecasts

Jewell WS (1975). Two Classes of Covariance Matrices Giving Simple Linear Forecasts. IIASA Research Memorandum. IIASA, Laxenburg, Austria: RM-75-017

[img]
Preview
Text
RM-75-017.pdf

Download (570kB) | Preview

Abstract

Two special classes of covariance matrices are considered which give simplified computations for linear forecasts without continued reinversion of the matrix. In the first class, the optimal coefficients in the forecast can be computed in advance for every time period by simple closed formulas. In the second class, which is a generalization of the first, the optimal coefficients are obtained through a simple first-order linear recursive relation between forecasts of successive time periods. Collective risk forecasting models which give rise to these classes of covariances are presented.

Item Type: Monograph (IIASA Research Memorandum)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:43
Last Modified: 28 Jul 2016 08:38
URI: http://pure.iiasa.ac.at/499

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313