Regression under Interference: Maximum Likelihood Approaches

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties co-depend on each other, meaning classical regression models that assume independent observations yield biased … Read more

Regression under Interference: Bayesian Approaches

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties co-depend on each other, meaning classical regression models that assume independent observations yield biased … Read more

Regression under Interference: Generalized Outcomes

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties are co-dependent, meaning that classical regression models assuming independent observations yield biased results. By … Read more

Regression under Interference: Missing Data

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties co-depend on each other, meaning classical regression models that assume independent observations yield biased … Read more

Regression under Interference: Dynamic Networks

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties co-depend on each other, meaning classical regression models that assume independent observations yield biased … Read more

Regression under Interference: Bipartite Netwprls

Project for MSc. in Statistics and Data Science The iglm package in R provides a unified statistical framework for modeling individual responses and social network structures simultaneously in connected populations. In real-world social and economic systems, individual behaviors and relationship ties are co-dependent, meaning classical regression models that assume independent observations yield biased results. Modeling … Read more

Statistics in Marketing

This project is particularly for the Students in Statistics and Sustainability. The interested Student should first check the papers: Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases? | Marketing Letters (springer.com) Unveiling digital dynamics: Do digital media investments impact organic branded searches? | Journal of Marketing Analytics The … Read more