SHARP Bayesian Modeling for Environmental Health Workshop
- Overview
- Unfiltered shareable feedback from 2024 edition
- Photos of previous 2024 edition
- Unfiltered shareable feedback from 2023 edition
- Photos of previous 2023 edition
Overview
The Bayesian Modeling for Environmental Health Workshop is a two-day intensive course of seminars and hands-on analytical sessions to provide an approachable and practical overview of concepts, techniques, and data analysis methods used in Bayesian modeling with applications in Environmental Health.
Official SHARP Bayesian Modeling for Environmental Health Workshop
website link.
Course GitHub link.
Unfiltered shareable feedback from 2024 edition
"Well-paced, clearly-explained lectures by instructors."
"A thorough and highly applicable introduction to Bayesian modeling."
"Overall, I learned a lot. But I think it was because I had some background in Bayesian and spatial stat, and this workshop helped me to get response for the questions. Otherwise, it could be very confusing. Thanks."
"This course was an exercise in Bayesian praxis. It provided tools to implement theories I had only read about but couldn't figure out how to implement with code."
"The instructors were very knowledgable on the topic and packed a lot into two days. They were very open to questions and diving deeper on topics when students asked."
"This was a compelling workshop taught by people who know their material. Thorough without getting bogged down in the weeds, and practical examples are provided with pre-written scripts to follow."
Photos of previous 2024 edition
Unfiltered shareable feedback from 2023 edition
"Wonderful course reviewing Bayesian modeling from basic concept to cutting-edge."
"The workshop provided a helpful, programming-centric introduction to Bayesian Modeling in an environmental health context."
"This is an efficient, in-depth course with lecture/lab pairs on topics including Bayesian workflows, temporal models, spatial models, and and non-parametric models. The course gives hands-on practice with the tools used for these analyses, with a focus on NIMBLE, but opportunity to work with INLA and ensemble models."
"It was a very interesting and fascinating course! I would recommend everybody to take the course. The only tip I would give is that you familiarize yourself with Bayesian Statistics beforehand."
"I was highly satisfied with the overall workshop structure and content. Learning Bayesian modeling from the basics to its applications brought me a lot of joy."
"This course was a great overview of how Bayesian models can be used within the environmental health/ public health arenas. User friendly with very knowledgeable instructors that made me excited to incorporate Bayesian models into my research!"
"The Bayesian team was really nice and answered several of our questions and concerns."
"Really wonderful practical introduction! I feel like I am ready to test out some of these methods in my own work."
"The workshop was a meticulously prepared, and every detail was thoughtfully addressed. It was an inspiring experience to have the opportunity to learn from world-leading experts in the field."
Photos of previous 2023 edition
Photos below by April Renae.