The objective of the proposed study is to explore the performance of credit scoring using a two-stage hybrid modeling procedure with artificial neural networks and multivariate adaptive regression splines (MARS). The rationale under the analyses is firstly to use MARS in building the credit scoring model, the obtained significant variables are then served as the input nodes of the neural networ...

When first learning Bayesian statistics, the organizational scholar may be confronted by a number of conceptual and practical challenges. The present paper seeks to minimize these by first explicating how the Bayesian process can be understood simply as the combination of two complementary sources of information: prior beliefs and data. In turn, we describe how each source is derived from Bayes...

one of the most crucial elements of each country is electricity distribution networks (edn). awareness of accidents in edn could be very important in the conservation and utilization of them. the accurate and periodic inspections can provide a good service to subscribers. the goal of this project is to fabricate a quad rotor, which can do an accurate and a periodic inspection. the design and im...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

In this work we consider the problem of regret minimization for logistic bandits. The main challenge bandits is reducing dependence on a potentially large dependent constant that can at worst scale exponentially with norm unknown parameter vector. Previous works have applied self-concordance function to remove worst-case providing guarantees move reduce case lower order terms only polylogarithm...

Network design problem is one of the most complicated and yet challenging problems in transportation planning. The Bi-level, non-convex and integer nature of network design problem has made it into one of the most complicated optimization problems. Inclusion of time dimension to the classical network design problem could add to this complexity. In this paper an Ant Colony System (ACS) has been ...