This article presents the relationship between a firm's advertisement spending and sales in a duopoly when information about the competitors' advertisement spending is unavailable. The competitive interaction between the firms has been modeled as imperfect information Cournot and Stackelberg...

This article presents a restricted maximum likelihood-based algorithm to estimate who influences whose opinions and to what degree when agents share their opinions over large online social networks such as Twitter. The proposed algorithm uses multi-core processing and distributed computing to...

This article presents a practical approach to estimate the substitution probabilities between products at a retail store by using the store's point of sale data and prospect theory based structural restrictions on the consumer choice behavior. The prospect theory-based reference dependent...

This paper presents a practical approach to estimate the substitution probabilities between products at a retail store by using the store's point of sale data and prospect theory based structural restrictions on the consumer choice behavior. The prospect theory based reference dependent...

This article presents the relationship between a firm’s advertisement spending and sales in a duopoly when information about the competitors’ advertisement spending is unavailable. The competitive interaction between the firms has been modeled as imperfect information Cournot and Stackelberg...

There is growing interest in developing the abilities to simulate realistic social networks and analyze data generated from existing online social networks such as Facebook and Twitter. Amongst other things, researchers and practitioners need these abilities to study how opinions and information...

This paper presents a restricted maximum likelihood-based algorithm to estimate who influences whose opinions and to what degree when agents share their opinions over large online social networks such as Twitter. The proposed algorithm uses multi-core processing and distributed computing to...

This paper presents a stochastic opinion dynamics model where (a) the opinion of each agent in a network is modeled as a probability distribution as against a point object, (b) consensus is defined as the stability region of the ensuing set of stochastic difference equations, and (c) compromise...