Ever wanted to learn to use Python? The lab of JP Onnela recently published 90 videos for the HarvardX course on Using Python for Research. Launched in January 2018, Version 2 … Continue reading “Biostats Learning Resources Online”
Alex D’Amour Neyman Visiting Assistant Professor Dept of Statistics, UC Berkeley Thursday, March 8 EPI Library, Kresge 907 3:00-4:00 PM Overlap in Observational Studies with High-Dimensional Covariates Causal inference … Continue reading “Environmental Statistics Seminar with Alex D’amour – 3/8”
Dr. Michael Jordan Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics The University of California, Berkeley On Computational Thinking, Inferential … Continue reading “NESS Colloquium Series with Michael Jordan, 1/31”
We’re continuing to feature our 1st year doctoral students! We hope everyone is able to get to know this talented and diverse new group of students. Hi! My name is Maya … Continue reading “Introducing New Doctoral Students”
We’re continuing to feature our 1st year doctoral students! We hope everyone is able to get to know this talented and diverse new group of students. My name is Linda Harrison … Continue reading “Introducing New Doctoral Students”
An Introduction to Causal Inference: This 5-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore the … Continue reading “Causal Inference Short Course: Register Now!”
