Physics Department Seminar University of Alaska Fairbanks

J O U R N A L    C L U B


Application of Bayesian Inference to SuperDARN Ionospheric Velocity Measurements
otherwise known as:
How I Learned to Stop Worrying and Love Bayesian Inference

Jef Spaleta
Geophysical Institute,UAF



Since the 1990s, Bayesian inference has enjoyed a renaissance in the field of statistics, empowered primarily by access to modern computational tools.  Even so, Bayesian inference is still unfamiliar to many experimental researchers in the physical sciences.  This talk will be a personal testimony for the life changing power of Bayesian inference from a researcher newly converted to the Bayesian point of view.   For those in the audience enamored with philosophical debate, I will attempt to summarize the important differences between the “frequentist” and Bayesian interpretation of probability in a historical context.  For those in the audience most attuned to practical considerations, I will summarize my recent research using the Bayesian inference in the determination of phase refractive index corrections for SuperDARN ionospheric velocity measurements.


Friday, 6 March 2015

Globe Room, Elvey Building

3:45 PM