Meisam Hejazi Nia

empirical analysis consumer regret econometrics semi parametric bayesian variational expectation maximization latent dirichlet model infographics computer vision 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 markdown dynamic structural model affiliated value auction emotionally rational bidders bayesian updating structural model winner and loser regret in auctions : inbound marketing genetic optimization. unscented kalman filter 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 inbound marketing