<p>The environmental process modulates the dynamics of the process under study , e.g., through one of its hazard functions. Marginalization with respect to yields the uncoupled dynamics of , whereas the original dependency on the environment is replaced by its optimal estimator given the history of . Consequently, the marginal process is self-exciting, i.e., it exerts a feedback on itself.</p
The concept of causality is naturally related to processes developing over time. Central ideas of ca...
The problem of the insensitivity of the macroscopic behavior of any thermodynamical system to partit...
The open and closed-loop global state probability density function behavior of a class of single-sta...
Stochastic components in a feedback loop introduce state behaviors that are fundamentally different ...
The dynamics of stochastic reaction networks within cells are inevitably modulated by factors consid...
Biological systems possess the ability to adapt quickly and adequately to both environmental and int...
There is a growing recognition that ecological systems can spend extended periods of time far away f...
Environmental tipping points (TPs) leading to abrupt state changes are usually considered in an auto...
International audienceAddressing global environmental crises such as anthropogenic climate change re...
<p>(a) Linear birth-death process in a fluctuation environment. The birth-rate is assumed to be line...
We study a stochastic, discrete-time, economy-environment integrated model, where human activity aff...
The effects of discounting, stochasticity, non-linearities and maximum decay upon an optimal correct...
Markov jump process models have many applications across science. Often, these models are defined on...
In this paper we discuss three rather special characteristics shared by many environmental problems....
We analyze the effect of uncertainty on economic growth and environmental quality in a concave stoch...
The concept of causality is naturally related to processes developing over time. Central ideas of ca...
The problem of the insensitivity of the macroscopic behavior of any thermodynamical system to partit...
The open and closed-loop global state probability density function behavior of a class of single-sta...
Stochastic components in a feedback loop introduce state behaviors that are fundamentally different ...
The dynamics of stochastic reaction networks within cells are inevitably modulated by factors consid...
Biological systems possess the ability to adapt quickly and adequately to both environmental and int...
There is a growing recognition that ecological systems can spend extended periods of time far away f...
Environmental tipping points (TPs) leading to abrupt state changes are usually considered in an auto...
International audienceAddressing global environmental crises such as anthropogenic climate change re...
<p>(a) Linear birth-death process in a fluctuation environment. The birth-rate is assumed to be line...
We study a stochastic, discrete-time, economy-environment integrated model, where human activity aff...
The effects of discounting, stochasticity, non-linearities and maximum decay upon an optimal correct...
Markov jump process models have many applications across science. Often, these models are defined on...
In this paper we discuss three rather special characteristics shared by many environmental problems....
We analyze the effect of uncertainty on economic growth and environmental quality in a concave stoch...
The concept of causality is naturally related to processes developing over time. Central ideas of ca...
The problem of the insensitivity of the macroscopic behavior of any thermodynamical system to partit...
The open and closed-loop global state probability density function behavior of a class of single-sta...
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