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» Computing and using residuals in time series models
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BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
SIGGRAPH
2000
ACM
14 years 17 hour ago
Computer modelling of fallen snow
In this paper, we present a new model of snow accumulation and stability for computergraphics. Our contribution is divided into two major components, each essential for modelling ...
Paul Fearing
IAJIT
2010
81views more  IAJIT 2010»
13 years 6 months ago
Credit Scoring Models Using Soft Computing Methods: A Survey
: During the last fifteen years, soft computing methods have been successfully applied in building powerful and flexible credit scoring models and have been suggested to be a possi...
Adel Lahsasna, Raja Noor Ainon, Teh Ying Wah
JGS
2010
106views more  JGS 2010»
13 years 2 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
WSC
1998
13 years 9 months ago
Advanced Methods for Simulation Output Analysis
This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditi...
Christos Alexopoulos, Andrew F. Seila