UFO sighting data A recent #TidyTuesday data set piqued my interest. It’s a rather large collection of worldwide reportings of UFO sightings. Interesting. You can download the data yourself and load it into R: library("readr") ufo_sightings = read_csv("ufo_sightings.csv") ufo_sightings contains information about thousands of UFO sightings. Each sighting contains information such as the date and time (reported_date_time, day_part) of the sighting, the location (city, state, country) of the sighting, and other information such as a freetext summary.
A little bit about you Let’s assume you’re familiar with Bayesian statistics; you know what I mean when I say prior, likelihood and posterior. Recall that an MCMC scheme constructs a Markov chain as a method to sample from the posterior density. You may have used a probabilistic programming language (PPL) in the past, such as BUGS, to perform Bayesian inference. You’ve heard about Stan and want to learn a little more.
Good news! In tandom with the loosening of lockdown restrictions, Jumping Rivers has released the updated 2021 public, online training course schedule. We are offering courses across multiple programming languages, including R, Python, Stan, Scala and git. In the past year, we have converted all of our courses to be online friendly and have recieved great feedback in relation to interactivity, course structure and overall attendee satisfaction. Some examples of feedback we have recieved can be seen below:
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- Using Stan to analyse global UFO sighting reports
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