Showing 1 - 6 of 6
fitting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child …
Persistent link: https://www.econbiz.de/10011396729
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10011396730
fitting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child …
Persistent link: https://www.econbiz.de/10010425735
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10010428663
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10010945074
tting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child …
Persistent link: https://www.econbiz.de/10010945075