Computational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques.
In this line of research, we develop strategies to optimize utility in dynamic environments in an optimal and efficient fashion.
Causal inference: Geometry of conditional independence structures for 3-node directed Gaussian graphical models.
The Statistics and Data Science Center is an MIT-wide focal point for advancing research and education programs related to statistics and data science. The Center was created in 2015 with the goal of formalizing and consolidating efforts in statistics at MIT. The Center’s academic mission is to host and develop new academic programs, from a minor to a PhD in statistics and data science.
MIT xPro and IDSS offers an eight-week online course beginning October 23.
Programming language plus simple circuit design could let routers report on their own operation.
A study co-authored by Professor Esther Duflo finds games for pre-schoolers can improve conceptual math skills, however, the gains may not carry ...