In this paper, we summarize some recent results in Li et al. (2012), which can be used to extend an important PAC-Bayesian approach, namely the Gibbs posterior, to study the nonadditive ranking risk. The methodology is based on assumption-free risk bounds and nonasymptotic oracle inequalities, which leads to nearly optimal convergence rates and optimal model selection to balance the approximati...

Implementing information technology projects requires a calculated process to prevent failure. At the same time application of information technology in organizations faces various potential risks. Exploring information technology environment in organizations reveals the potential risks and provides a structure for comprehensive risk management. There are various methods available for risk mana...

Implementing information technology projects requires a calculated process to prevent failure. At the same time application of information technology in organizations faces various potential risks. Exploring information technology environment in organizations reveals the potential risks and provides a structure for comprehensive risk management. There are various methods available for risk mana...

background: research project risks are uncertain contingent events or situations that, if transpire, will have positive or negative effects on objectives of a project. the management of health and safety at work (mhsw) regulations 1999 require all employers and the self-employed persons to assess the risks from their work on anyone who may be affected by their activities. risk assessment is the...

December 23, 2005 Abstract We consider first-best risk-sharing problems in which “the agent” can control both the drift (effort choice) and the volatility of the underlying process (project selection). In a model of delegated portfolio management, it is optimal to compensate the manager with an option-type payoff, where the functional form of the option is obtained as a solution to an ordinary ...

One of the common questions in all projects, is "How much would be the final cost of the project?" or "How much would be the completion duration of the project?". Earned Value Management presents a method for estimation of these results. In general methods and formula of Earned Value Management, future trend of project, are anticipated completely based on its previous trend, and changes in envi...

This paper deals with risk measurement and portfolio optimization under risk constraints. Firstly we give an overview of risk assessment from the viewpoint of risk theory, focusing on moment-based, distortion and spectral risk measures. We subsequently apply these ideas to an asset management framework using a database of hedge funds returns chosen for their nonGaussian features. We deal with t...

Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...

in this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. we first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. then we propose two mean-absolute deviation models by defining risk as abs...