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ABSTRACT
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.
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