Meisam Hejazi Nia

computer vision infographics latent dirichlet model variational expectation maximization consumer regret econometrics semi parametric bayesian empirical analysis unscented kalman filter genetic optimization. : inbound marketing winner and loser regret in auctions bayesian updating structural model emotionally rational bidders affiliated value auction dynamic structural model markdown mcem social learning hierarchical mixture model structural model state space model mobile app-store targeting ensemble segmentation mixed logit with dp prior user generated content gamification gradient boosting e-commerce embeddings deep learning shopping funnel personalized advertising re-targeting computational advertising markov chain monte carlo experience goods diffusion of digital goods platform competition churn extended kalman filter complementary products platform product generations observational learning gmm consumer choice aggregate logit demand dynamic general method of moment blp demand fashion inbound marketing