Summer Methodology Workshop | Getting Started with Bayesian Statistics | Jeff Starns and Andrea Cataldo

Thursday, June 20, 2019 - 9:00am to 4:00pm
Friday, June 21, 2019 - 9:00am to 4:00pm
E20 Machmer Hall | UMass Amherst

Description: This seminar is designed for researchers who would like to have a better understanding of Bayesian statistics and who need some help taking the first steps toward incorporating Bayesian statistics into their research practices. We will cover (1) the basic logic of Bayesian inference; (2) how this logic applies to estimating parameter values and testing hypotheses; (3) available software for performing Bayesian analyses across a wide range of statistical applications such as group comparison and regression; and (4) differences between the Bayesian approach and traditional statistics (e.g., p values).

We will work through examples using the Bayes Factor package and JAGS, both of which are open-source packages that run in R, which is an open-source statistical program. Basic familiarity with R will be very helpful, but attendees do not need to be R experts. The instructors can provide resources for learning R basics before the seminar upon request.                     

Instructors: 

Andrea Cataldo is a PhD candidate in the Department of Psychological & Brain Sciences at the University of Massachusetts Amherst and a graduate consultant at ISSR. Her research integrates behavioral experiments and computational modelling to uncover the psychological mechanisms underlying decision-making. Andrea will begin a new position as a postdoctoral fellow at McLean Hospital/Harvard Medical School in July 2019, where she will be studying memory in depression. In her work, Andrea primarily relies on Bayesian modelling to analyze both continuous (e.g., response time) and categorical (e.g., multinomial) outcomes.

Jeff Starns is a professor in the Department of Psychological and Brain Sciences. His research explores basic processes of memory and decision making by testing mathematical models, with a particular focus on modeling response times. His hobbies include birding, playing guitar, and finding ways to bring up Bayesian inference in everyday conversation. As part of his plot to spread Bayesian concepts to as many minds as possible, he recently developed a technique to calculate Bayesian credible intervals on the average student evaluation ratings for college courses and convinced the Institute for Teaching Excellence and Faculty Development to include these intervals in their reports.

Questions? For more information about this or any of the ISSR Summer Methodology Workshops, please contact ISSR Methodologist Jessica Pearlman (jpearlman@issr.umass.edu).


Registration is now closed for this workshop.

Five College Students and Faculty

  • Five College Undergraduate and Graduate Students…………………………..$150/person
  • Five College Faculty………………………………………………………………....$300/person

Non-Five College Students and Faculty

  • Non-Five College Undergraduate and Graduate Students…………………………..$300/person
  • Non-Five College Faculty………………………………………………………………....$425/person

Registration note: The Five Colleges include: UMass Amherst, Amherst College, Hampshire College, Mount Holyoke College, and Smith College. Registration closes for each workshop 2 full business days prior to the start date. Please note: payment of registration does not guarantee a spot in these space-limited workshops. You will receive an email confirming the names of workshops for which your registration has been accepted. If a workshop you have registered for is over-subscribed, you will be refunded and offered placement on a wait-list.. If paying with departmental funds or personal checks, contact Karen Mason (mason@issr.umass.edu).

Cancellation note: In cases where enrollment is 5 or less, we reserve the right to cancel the workshop.  In cases where the registrant cancels prior to the workshop, a full refund will be given with two weeks notice, and 50% refund will be given with one week notice.  We will not be able to refund in cases where registrant does not notify us of cancellation at least one week prior to the beginning date of the workshop.