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R package "ECTSVR": Cointegration based Support Vector Regression Model

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Title R package "ECTSVR": Cointegration based Support Vector Regression Model
Not Available
 
Creator Pankaj Das
 
Subject Cointegration
ECTSVR
Error correction term
Support vector regression
ECTSVR
 
Description ECTSVR uses the concept of cointegration based Timedelay Neural network model proposed by
Das (2019). First the cointegration of the data series is identified by Johansen cointegration test.
Then error correction model is fitted for the estimation of parameters i.e. Beta and error coreection
term (ECT). The estimated ECT is used as a auxiliary information in support vector regression
model fitting. Then the support vector regression model is used foresting of the data series.
The cointegration based support vector regression model is a combination of error correction model
and support vector regression (http://krishi.icar.gov.in/jspui/handle/123456789/72361). This hybrid
model allows the researcher to make use of the information extracted by the cointegrating vector as
an input in the support vector regression model.
Not Available
 
Date 2023-09-12T09:11:21Z
2023-09-12T09:11:21Z
2023-08-28
 
Type Software Code or Macro
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/80530
 
Language English
 
Relation Not Available;
 
Publisher The Comprehensive R Archive Network