Learning Bayesian Statistics

is creating a podcast on Bayesian inference & the people making it possible

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Maximum A Posteriori

$4
per month
Access exclusive content: the "Matchmaking Dinners", where former guests discuss Bayesian topics they're currently interested in, as if they were having dinner 😋
Become a part of the community by joining the LBS Slack to ask questions about the episodes, discuss with like-minded Bayesians, and meet these people in person when you travel the world.
You also get the satisfaction of contributing to the popularization of open-science!
  • Exclusive "Matchmaking Dinners" Episodes
  • Join the Slack

Full Posterior

$6.50
per month
In addition to the benefits of the previous tiers, your name will be in all the show notes and I'll express my gratitude to you in the first episode to go out after your contribution.
You also get early access to special episodes. These will be made at an irregular pace and will include panel discussions, book releases, live shows, etc.
  • Early access to special episodes
  • Get acknowledgements in episodes
  • Exclusive "Matchmaking Dinners" Episodes
  • Join the Slack

Principled Bayesian

$25.50
per month
In addition to the benefits of the previous tiers, every two months I'll ask my guest two questions voted on by Principled Bayesians.
  • Select questions for the show
  • Early access to special episodes
  • Get acknowledgements in episodes
  • Exclusive "Matchmaking Dinners" Episodes
  • Join the Slack

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About Learning Bayesian Statistics

Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is?

Well I'm just like you! When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible.

So I created "Learning Bayesian Statistics", a fortnightly podcast where I interview researchers and practitioners of all fields about why and how they use Bayesian statistics, how they came to these methods, and what their projects and challenges are.

My name is Alex Andorra by the way. A data scientist, I live in Paris and I’m a core contributor to the awesome python packages ArviZ and PyMC3. I'm also an always-learning Bayesian and elections-forecasting enthusiast!

Whether you want to learn Bayesian statistics or hear about the latest libraries, books and applications, this podcast is for you -- just support me here and unlock exclusive benefits and Bayesian swag!

NB: I have a lot of ideas for exclusive content and options, but I need to see if you are interested out there. If I see you are, I will add new perks to the tiers! Please reach out if there are benefits you want but don't see here!

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