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This paper discusses the results of an investigation into ways in which the safety risks of travel on road and rail interact with each other in Great Britain, other than through physical contact such as at level crossings. The two main foci of the paper ar ...
The acknowledged importance of uncertainty in economic decision making has stimulated the search for neural signals that could influence learning and inform decision mechanisms. Current views distinguish two forms of uncertainty, namely risk and ambiguity, ...
We review the use of behavior from television game shows to infer risk attitudes. These shows provide evidence when contestants are making decisions over very large stakes, and in a replicated, structured way. Inferences are generally confounded by the sub ...
In this paper, we propose an adaptive risk-based replanning strategy in the context of multi-robot task allocation for dealing with limitations of local perception and unpredicted human behavior. Our replanning method is based on the variations of social r ...
Recently Heyde, Kou and Peng (2007) proposed the notion of a natural risk statistic associated with a finite sample that relaxes the subadditivity assumption in the classical coherent risk statistics. In this note we use convex analysis to provide alternat ...
The objective of this article is to present a benchmarking of financial indicators implemented in hydroelectric stochastic risk management models. We present three model formulations using a tree approach for hydroelectric optimization using three procedur ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization parameter λ. For this, we consider a realistic noise model for data obtained ...
To document an individual's longitudinal construction of risk is a logistically intensive task. To identify a logistically feasible approach, we review existing agent-based experience documentation approaches within the context of a specified risk source - ...
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We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization parameter lambda. For this, we consider a realistic noise model for data obtai ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008
This thesis considers technological risks and their constitution as public problems. It supports that the main difference among risks is not to see between proved risks and uncertain risks, on the basis of the objective knowledge, but rather separates risk ...