Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...

According to the last proposals of the Basel Committee on Banking Supervision, banks under the Advanced Measurement Approach (AMA) must use four different sources of information to assess their Operational Risk capital requirement. The fourth including "business environment and internal control...

This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models such as Generalized Autoregressive Conditional...

Perfect Bayesian equilibrium is not a subset of Nash equilibrium. Perfect Bayesian equilibrium requires players to have beliefs that are consistent with the equilibrium strategies of other players. Nash equilibrium does not explicitly specify the beliefs of the players. However, the default...

This paper uses Bayesian equilibrium by iterative conjectures approach to solve a noisy sequential game, that is, a sequential game with inaccurate observation clouded by noise. Bayesian equilibrium by iterative conjectures requires players to form conjectures about the strategies of the other...

This paper studies a new refinement for Perfect Bayesian equilibrium, Bayesian equilibrium by iterative conjectures (BEIC). BEIC requires players to make predictions, starting from first order uninformative predictive distribution functions (or conjectures) and keep updating with statistical...

Business and distribution strategy planning are usually carried out in a sequence. A company first devises a business plan and then a distribution strategy able to accommodate it. The separation in planning can lead to a sub-optimal decision. We propose a method of how to concurrently plan both...

As companies' environment is becoming increasingly volatile, scanning systems gain in importance. We propose a hybrid process model for such systems' information gathering and interpretation tasks that combines quantitative information derived from regression analyses and qualitative knowledge...

We consider the filtering model of Frey & Schmidt (2012) stated under the real probability measure and develop a method for estimating the parameters in this framework by using time-series data of CDS index spreads and classical maximum-likelihood algorithms. The estimation-approach incorporates...

Uncertain knowledge allows us to learn new knowledge and leads us to develop a new domain model. The medical domain is a very crucial area of research where a wrong decision taken by a physician can create a significant health issue. Based on patient sensations and certain conventional...