Bayesian Functional Emulation of CO2 Emissions on Future Climate Change Scenarios

Luca Aiello, Matteo Fontana and Alessandra Guglielmi

Papers from arXiv.org

Abstract: We propose a statistical emulator for a climate-economy deterministic integrated assessment model ensemble, based on a functional regression framework. Inference on the unknown parameters is carried out through a mixed effects hierarchical model using a fully Bayesian framework with a prior distribution on the vector of all parameters. We also suggest an autoregressive parameterization of the covariance matrix of the error, with matching marginal prior. In this way, we allow for a functional framework for the discretized output of the simulators that allows their time continuous evaluation.

Date: 2022-09
New Economics Papers: this item is included in nep-ecm, nep-ene and nep-env
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