In this paper we study the impact of customer stochasticity on firm price discrimination strategies. We develop a new model termed the Bayesian Mixture Scale Heterogeneity (BMSH) model that incorporates both parameter heterogeneity and customer stochasticity using a mixture model approach, and...

Fixed costs of ordering items or setting up a process arise in many real-life scenarios. In their presence, the most widely used ordering policy in the stochastic inventory literature is the (s, S) policy. Optimality of (s, S) policies and (s, S)-type policies have been investigated for various...

This paper describes a way to model a seasonally and irregularly peaking price dynamics, as that originated in commodity and energy markets, using a system of coupled nonlinear stochastic differential equations. The specific case of an electric power market is used to show which microeconomic...

This paper discusses a rather general approach to build nonlinear dynamic models that reproduce some important aspects of electricity price series, as spike and antispike dynamics. Two specific models are proposed first in a continuous time form, then in four discrete time forms. It is then...

Generalising the idea of the classical EM algorithm that is widely used for computing maximum likelihood estimates, we propose an EM-Control (EM-C) algorithm for solving multi-period finite time horizon stochastic control problems. The new algorithm sequentially updates the control policies in...

The standard Ricardian model of competition has a fixed number of firms, each with limited capacity and differential exogenous costs or qualities. In this paper, we introduce a real entry process by formulating a multistage Ricardian equilibrium model with free entry and stochastic product...