Uncertainty about future economic and climate conditions substantially affects the choice of
policies for managing interactions between the climate and the economy. We develop a …

There is great uncertainty about the impact of anthropogenic carbon on future economic
wellbeing. We use DSICE, a DSGE extension of the DICE2007 model of William Nordhaus …

Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal economic growth are typical examples …

This paper introduces a dynamic stochastic integrated model of climate and economy
(DSICE), and a numerical dynamic programming algorithm for its solution. More specifically …

This thesis explores theoretical, computational, and practical aspects of convex (shape-
constrained) regression, providing new excess risk upper bounds, a comparison of convex …

Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal growth of national economies are typical …

We implement a dynamic programming algorithm on a computational grid consisting of
loosely coupled processors, possibly including clusters and individual workstations. The grid …

Dynamic programming is the foundation of dynamic economic analysis and often requires
numerical solution methods. Standard methods are either slow or unstable. These …

Solar radiation management (SRM) has been proposed as a means to reduce global
warming in spite of high greenhouse-gas concentrations and to lower the chance of …

Continuous time is a superior representation of both the economic and climate systems that
Integrated Assessment Models (IAM) aim to study. Moreover, continuous-time …