๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The Performance of Risk Prediction Models

โœ Scribed by Thomas A. Gerds; Tianxi Cai; Martin Schumacher

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
320 KB
Volume
50
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

The Volatility and Density Prediction Pe
The Volatility and Density Prediction Performance of Alternative GARCH Models
โœ Teng-Hao Huang; Yaw-Huei Wang ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 174 KB ๐Ÿ‘ 1 views

## ABSTRACT This study compares the volatility and density prediction performance of alternative GARCH models with different conditional distribution specifications. The conditional residuals are specified as normal, skewedHyphen;__t__ or compound Poisson (jump) distribution based upon a nonlinear

Performance assessment of constrained mo
Performance assessment of constrained model predictive control systems
โœ Byung-Su Ko; Thomas F. Edgar ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› American Institute of Chemical Engineers ๐ŸŒ English โš– 163 KB ๐Ÿ‘ 2 views

## Abstract A constrained minimum variance controller is derived based on a moving horizon approach that explicitly accounts for hard constraints on process variables. A procedure for the performance assessment of constrained model predictive control systems is then developed based on the constrain

A model to predict risk in carotid surge
A model to predict risk in carotid surgery
โœ D. Purkayastha; C. McCollum; K. Kane; (for the Vascular Governance North West pa ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 70 KB ๐Ÿ‘ 2 views

## 8 VSGBI abstracts panellists, we were able to produce a scoring system for combination anatomy comprising broad agreement bands to be presented as traffic light colours: red for particularly difficult anatomy, amber for moderate difficulty and green for lesser difficulty. Conclusion: A scoring s

Performance Prediction Analysis of a Poi
Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models
โœ P Tissainayagam; D Suter ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 380 KB

This paper provides performance prediction analysis techniques for a linear point feature tracking algorithm based on different motion models. We provide closedform expressions for evaluating the probability of correct data association of a tracker (analyzed with different motion models), when track