Uncertainty plays an important role in marketing decisions such as pricing, promotion, advertising and salesforce management. While there have been significant progresses made in ing marketing behaviors in a stochastic environment, the work is scattered among different sources and focuses mostly...

The hidden Markov model (HMM) is typically used to predict the hidden regimes of observation data. Therefore, this model finds applications in many different areas, such as speech recognition systems, computational molecular biology and financial market predictions. In this paper, we use HMM for...

Hidden Markov model (HMM) is a powerful machine-learning method for data regime detection, especially time series data. In this paper, we establish a multi-step procedure for using HMM to select stocks from the global stock market. First, the five important factors of a stock are identified and...

Within the context of a simple dynamic general equilibrium framework, the model proposed in this paper formally characterizes the path in which a successful transformation in agriculture as a result of an improvement in agricultural technology can conceivably help some developing countries raise...