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Autor:
Welander, Jesper
Vector autoregressive (VAR) models for time series analysis of high-dimensional data tend to suffer from overparametrisation as the number of parameters in a VAR model grows quadratically with the number of included predictors. In these cases, lower-
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193004
This thesis conducts a study on the stability of steady states in the glycolysis of in silico models of Saccharomyces cerevisiae. Such un- controlled models could reach unstable steady states that are unlikely to occur in vivo. Little work has previo
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103612
Autor:
Welander, Jesper
Vector autoregressive (VAR) models for time series analysis of high-dimensional data tend to suffer from overparametrisation as the number of parameters in a VAR model grows quadratically with the number of included predictors. In these cases, lower-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______681::77ad6f3ea0ea27b48e700b635b87a06e
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193004
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193004