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Artwork for Learning Bayesian Statistics

Learning Bayesian Statistics

Alexandre Andorra
Bayesian Statistics
Bayesian Inference
Quantum Physics
Machine Learning
Low Birth Weight Paradox
Causal Inference
Andrew Gelman
Sansa Kazadi
Pymc Labs
David Spiegelhalter
Bob Carpenter
MIT
Cambridge
Reading Groups
Simpson's Paradox
Reactive Message Passing
Rxinfer.jl
Base Rate Fallacy
Statistical Physics
Quantum Mechanics

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?

Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow.

When I started learnin... more

PublishesWeeklyEpisodes185Founded6 years ago
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Artwork for Learning Bayesian Statistics

Latest Episodes

• Support & get perks!

• Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com

• Intro to Bayes and Advanced Regression courses (first 2 lessons free)

Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Me... more

Today’s clip is from episode 148 of the podcast, with Scott Berry.

In this conversation, Alex and Scott discuss emphasizing the shift from frequentist to Bayesian approaches in clinical trials.

They highlight the limitations of traditional trial ... more

• Support & get perks!

• Proudly sponsored by PyMC Labs. Get in touch and tell them you come from LBS!

• Intro to Bayes and Advanced Regression courses (first 2 lessons free)

Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and... more

Today’s clip is from episode 147 of the podcast, with Martin Ingram.

Alex and Martin discuss the intricacies of variational inference, particularly focusing on the ADVI method and its challenges. They explore the evolution of approximate inference m... more

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Recent Guests

Scott Berry
Statistician and co-founder of Berry Consultants, known for innovative clinical trial designs
Berry Consultants
Episode: #148 Adaptive Trials, Bayesian Thinking, and Learning from Data, with Scott Berry
Martin Ingram
Data scientist and Bayesian researcher with a PhD in applied Bayesian statistics.
Conarx
Episode: #147 Fast Approximate Inference without Convergence Worries, with Martin Ingram
Ethan Smith
PhD candidate at the University of Rochester focused on high-energy density physics.
University of Rochester
Episode: #146 Lasers, Planets, and Bayesian Inference, with Ethan Smith
Christoph Bamberg
Researcher focused on Bayesian statistics and psychology.
Episode: BITESIZE | Are Bayesian Models the Missing Ingredient in Nutrition Research?
Gabriel Stechschulte
A software engineer passionate about probabilistic programming and optimization.
Lutian University of Applied Sciences and Arts
Episode: #142 Bayesian Trees & Deep Learning for Optimization & Big Data, with Gabriel Stechschulte
Sam Witty
Founder of Cerberus AI and principal consultant at Sorbus AI.
Cerberus AI, Sorbus AI
Episode: #141 AI Assisted Causal Inference, with Sam Witty
Ron Yurko
Assistant Teaching Professor and Director of Sports Analytics
Carnegie Mellon University
Episode: #140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko
Max Balandat
Research Scientist Manager at Meta, leads the modeling and optimization team and oversees the development of BoTorch.
Meta
Episode: #139 Efficient Bayesian Optimization in PyTorch, with Max Balandat
Melody Monod
Senior postdoc researcher at the University of Oxford.
University of Oxford
Episode: #138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London

Host

Alex Andorra
Host of Learning Bayesian Statistics and an advocate for open-source Bayesian modeling.

Reviews

4.7 out of 5 stars from 233 ratings
  • Eric Trexler is the man

    I wanted to listen to this podcast but just can’t get past the annoying host .

    Apple Podcasts
    1
    ukfitness
    United Kingdom2 years ago
  • Amazing podcast

    Keep up the great work, I very much enjoy listening to this podcast :)

    Apple Podcasts
    5
    Funnymovie
    Germany3 years ago
  • Interesting Bayesian information

    Podcast Addict
    5
    bills
    3 years ago
  • The podcast for Bayesian statistics fans

    I first found this podcast searching for examples of applied Bayesian statistics. A year later, I still enjoy every show. It’s not only a great way to keep up to date with current developments in statistical programming but also a source of inspiration for how to apply statistical tools to any and all questions. A great add-on is that the podcast guests also talk about their failures, struggles and personal journeys, which makes statistics - a fearful and/or boring topic for many - more human ... more

    Apple Podcasts
    5
    Daniel Bern
    Germany3 years ago
  • Come for the great guests and their unique applications, stay for the novelty statistical rap music.

    Podchaser
    5
    Kristian Higgins
    4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Reviewers express the value of staying updated on Bayesian statistics and related fields through inspiring conversations.
The emphasis on learning from failures rather than only successes resonates well with the audience.
The podcast effectively breaks down complex topics, making them accessible without diluting their importance.
Some feedback points out issues with audio editing, suggesting the desire for a more natural listening experience.
Listeners appreciate the blend of expert discussions and personal stories of challenges faced in applying statistical methods.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#209
South Africa/Technology
Apple Podcasts
#212
Philippines/Technology
Apple Podcasts
#224
Denmark/Technology
Apple Podcasts
#236
Finland/Technology
Apple Podcasts
#250
Norway/Technology

Talking Points

Recent interactions between the hosts and their guests.

BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme
Q: What did you use to code the actual model, and to sample?
The speaker utilizes Python, specifically Jax and PyMC, while also integrating some bespoke code to meet the project's needs.
BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme
Q: Can you describe one experiment or project that you're particularly proud of, where you used Bayesian inference?
The ongoing project involves measuring the equation of state of a billion-atmosphere pressure plasma, using Bayesian inference techniques and various statistical methods to analyze complex data sets.
BITESIZE | How to Thrive in an AI-Driven Workplace?
Q: What would you recommend to people working in companies where AI is arriving?
They should focus on augmenting their skills and becoming an expert in a specific dimension of their work to effectively use AI tools.
#145 Career Advice in the Age of AI, with Jordan Thibodeau
Q: If you could have dinner with any great scientific mind, dead, alive, or fictional, who would it be?
I would want to meet Hero of Alexandria, and I would discuss the concept of an aliofile to enhance technological advancement in ancient times.
#145 Career Advice in the Age of AI, with Jordan Thibodeau
Q: If you could have unlimited time and resources, which problem would you try to solve?
I would focus on cancer research, investing in ways to bring effective treatments and cures to market.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Learning Bayesian Statistics

What is Learning Bayesian Statistics about and what kind of topics does it cover?

The content focuses on exploring Bayesian statistics through interviews with researchers and practitioners from diverse fields such as physics, psychology, sports analytics, and AI. What sets the discussions apart is their emphasis on both successes and failures, offering listeners insights into the challenges faced in the application of Bayesian methods, whether it's for modeling disease spread, analyzing election data, or understanding cognitive performance. The podcast aims to make complex statistical methodologies accessible and engaging, fostering a community of lifelong learners interested in practical applications of Bayesian inference.

Where can I find podcast stats for Learning Bayesian Statistics?

Rephonic provides a wide range of podcast stats for Learning Bayesian Statistics. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Learning Bayesian Statistics and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Learning Bayesian Statistics get?

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How many subscribers and views does Learning Bayesian Statistics have?

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Which podcasts are similar to Learning Bayesian Statistics?

These podcasts share a similar audience with Learning Bayesian Statistics:

1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Machine Learning Street Talk (MLST)
3. Google DeepMind: The Podcast
4. Practical AI
5. Cautionary Tales with Tim Harford

How many episodes of Learning Bayesian Statistics are there?

Learning Bayesian Statistics launched 6 years ago and published 185 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Learning Bayesian Statistics?

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What guests have appeared on Learning Bayesian Statistics?

Recent guests on Learning Bayesian Statistics include:

1. Scott Berry
2. Martin Ingram
3. Ethan Smith
4. Christoph Bamberg
5. Gabriel Stechschulte
6. Sam Witty
7. Ron Yurko
8. Max Balandat

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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