A stochastic model of adaptive behavior in a dynamic situation is proposed, and its properties developed. The model is developed from a hypothetical construct of behavior, and, in the limit, becomes a nonstationary probability diffusion process. Although the model has wide potential applicability, it is discussed in the marketing context for which the model was first proposed. In addition to properties of the model, important aspects of the model as it applies to marketing will be discussed.
In this paper we review a simple agent-based model of adaptive complex behaviour that shows how the ...
This book explores discrete-time dynamic optimization and provides a detailed introduction to both d...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
This paper surveys the field of adaptation in stochastic systems as it has developed over the last f...
The paper develops an adaptive model of perishable commodity dissipation based on the individual's p...
This paper develops a methodology for modeling consumer response that integrates previous research i...
The paper develops an adaptive model of perishable commodity dissipation based on the individual’s p...
I will introduce an ODE model and then a SDE model that describes dynamics of trait distribution inc...
Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of a...
This paper proposes a dynamic approach for inventory management, which can be used for a definitely ...
Innovation diffusion models are used in business statistics and quantitative marketing to describe a...
Hypotheses concerning market hehatior are shown to lead to stochastic process models of aduertising....
Dynamics of information flow in adaptively interacting stochastic processes is studied. We give an e...
This primer provides a gentle introduction to the estimation and control of dynamic marketing models...
In this chapter we present a unified approach for modelling the diffusion of alternative choices wit...
In this paper we review a simple agent-based model of adaptive complex behaviour that shows how the ...
This book explores discrete-time dynamic optimization and provides a detailed introduction to both d...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
This paper surveys the field of adaptation in stochastic systems as it has developed over the last f...
The paper develops an adaptive model of perishable commodity dissipation based on the individual's p...
This paper develops a methodology for modeling consumer response that integrates previous research i...
The paper develops an adaptive model of perishable commodity dissipation based on the individual’s p...
I will introduce an ODE model and then a SDE model that describes dynamics of trait distribution inc...
Introduction to Stochastic Dynamic Programming presents the basic theory and examines the scope of a...
This paper proposes a dynamic approach for inventory management, which can be used for a definitely ...
Innovation diffusion models are used in business statistics and quantitative marketing to describe a...
Hypotheses concerning market hehatior are shown to lead to stochastic process models of aduertising....
Dynamics of information flow in adaptively interacting stochastic processes is studied. We give an e...
This primer provides a gentle introduction to the estimation and control of dynamic marketing models...
In this chapter we present a unified approach for modelling the diffusion of alternative choices wit...
In this paper we review a simple agent-based model of adaptive complex behaviour that shows how the ...
This book explores discrete-time dynamic optimization and provides a detailed introduction to both d...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...