This thesis provides insights for firms on how to price and design product plans by combining experimentation and machine learning methods. In Chapter 1, we use multiarmed bandits from reinforcement learning to better inform firms on how to price experiment when faced with an unknown demand...

This article reviews the rapidly growing literature on structural models of complementary choices. It discusses recent modeling developments and identifies promising areas for future research. Copyright Springer Science+Business Media New York 2014

Introduction: Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dynamic nature. Case description: Support Vector...

Commercial open source software (COSS) products--privately developed software based on publicly available source code--represent a rapidly growing, multibillion-dollar market. A unique aspect of competition in the COSS market is that many open source licenses require firms to make certain...