Results 51 to 60 of about 278,010 (203)
Handling Process Safety and Stochastic Uncertainty in Economic Model Predictive Control
Abstract Process operational safety plays an important role in designing control systems for chemical processes. Motivated by this, in this work, we develop a process Safeness Index-based economic model predictive control system for a broad class of stochastic nonlinear systems with input constraints.
Zhe Wu +2 more
openaire +1 more source
"Stochastic Volatility with Leverage: Fast Likelihood Inference" [PDF]
Kim, Shephard, and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a fast and reliable Markov chain Monte Carlo (MCMC) algorithm. Their method ruled out the leverage effect, which is known to be important in applications.
Jouchi Nakajima +3 more
core
Stochastic integration for uncoupled continuous-time random walks [PDF]
Continuous-time random walks are pure-jump processes with several applications in physics, but also in insurance, finance and economics. Based on heuristic considerations, a definition is given for the stochastic integral driven by continuous-time random
Germano, Guido +3 more
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A Discrete Model of Replenishable Resource Management Under Uncertainty [PDF]
This paper examines issues in the management of replenishable resources under uncertainty. The stochastic resource dynamics are given by the discrete-time counterpart of the classic logistic growth model.
Smith, J. Barry
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Switching to Perennial Energy Crops under Uncertainty and Costly Reversibility [PDF]
We study a farmer’s decision to convert traditional crop land into growing dedicated energy crops, taking in account sunk conversion costs, uncertainties in traditional and energy crop returns, and learning.
Song, Feng +2 more
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Chaotic Process in The Tehran Stock Price Index [PDF]
The very complex movements in the stock prices are usually taken as random or stochastic, but they may be produced by a deterministic data generating process.
Saeed Moshiri, Habib Morovat
doaj
What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care [PDF]
This paper develops stochastic search variable selection (SSVS) for zero-inflated count models which are commonly used in health economics. This allows for either model averaging or model selection in situations with many potential regressors.
Markus Jochmann
core +3 more sources
Premium reserves play a vital role in ensuring that insurance firms can meet their future obligations to policyholders. Traditional fixed-rate approaches often fail to reflect market volatility, leading to potential misestimations.
Krishna Prafidya Romantica +3 more
doaj +1 more source
In this paper we study the detailed distributional properties of integrated non-Gaussian OU (intOU) processes. Both exact results and approximate results are given. We emphasise the study of the tail behaviour of the intOU process.
Neil Shephard, Ole E. Barndorff-Nielsen
core
An estimated DSGE model for the United Kingdom [PDF]
We estimate the dynamic stochastic general equilibrium model of Christiano, Eichenbaum, and Evans (2005) on United Kingdom data. Our estimates suggest that price stickiness is a more important source of nominal rigidity in the U.K.
Edward Nelson, Riccardo DiCecio
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