This article reviews the quantitative marketing literature on artificial intelligence (AI) through
an economics lens. We apply the framework in Prediction Machines: The Simple Economics …

The expansion of marketing data is encouraging the growing use of deep learning (DL) in
marketing. I summarize the intuition behind deep learning and explain the mechanisms of …

We develop methodology for estimation and inference using machine learning to enrich
economic models. Our framework takes a standard economic model and recasts the …

Computational cognitive models have been used extensively to formalize cognitive
processes. Model parameters offer a simple way to quantify individual differences in how …

The role of advertising as an implicit price has long been recognized in economics and
marketing, yet the effects of personalizing these implicit prices on firm profits and consumer …

The role of advertising as an" implicit price" has long been recognized by economists and
marketers. However, the impact of personalizing implicit prices on firm profits and consumer …

This study examines the use of a recurrent neural network for estimating the parameters of a
Hawkes model based on high-frequency financial data, and subsequently, for computing …

We consider the problem of setting the optimal prices and promotions for a multi product
category when the firm lacks demand information. At each time, a customer arrives and …

Three-dimensional printing has advantages, such as an excellent flexibility in producing
parts from the digital model, enabling the fabrication of different geometries that are both …

An optimization algorithm based on training and learning is formed based on the process of
training and learning in a class. A deep neural network is one of the types of feedforward …