Learning Bayesian Statistics
Alexandre AndorraAre 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 learning Ba... more
| Publishes | Weekly | Episodes | 170 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||
Listen to this Podcast
Latest Episodes
Get early access to Alex's next live-cohort courses!
Today’s clip is from episode 141 of the podcast, with Sam Witty.
Alex and Sam discuss the ChiRho project, delving into the intricacies of causal inference, particularly focusing on Do-Calculus, r... more
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!
• Get early access to Alex's next live-cohort courses!
• Enroll in the Causal AI workshop, to learn live with Alex (15% off if you're a Patron of the show)
Our ... more
Get early access to Alex's next live-cohort courses!
Today’s clip is from episode 140 of the podcast, with Ron Yurko.
Alex and Ron discuss the challenges of model deployment, and the complexities of modeling player contributions in team sports like... more
Get early access to Alex's next live-cohort courses!
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!
• Intro to Bayes Course (first 2 lessons free)
• Advanced Regression Course (first 2 lessons free)
Our the... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Recent Guests
Host
Reviews
- Eric Trexler is the man
I wanted to listen to this podcast but just can’t get past the annoying host .
Apple Podcasts1ukfitness
United Kingdom2 years ago - Amazing podcast
Keep up the great work, I very much enjoy listening to this podcast :)
Apple Podcasts5Funnymovie
Germany2 years ago Interesting Bayesian information
Podcast Addict53 years agobills- 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 Podcasts5Daniel BernGermany3 years ago Come for the great guests and their unique applications, stay for the novelty statistical rap music.
Podchaser54 years agoKristian Higgins
Listeners Say
Key themes from listener reviews, highlighting what works and what could be improved about the show.
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #184 |  Canada/Technology |
Apple Podcasts | #23 |  Philippines/Technology |
Apple Podcasts | #103 |  Ukraine/Technology |
Apple Podcasts | #134 |  Hong Kong/Technology |
Apple Podcasts | #164 |  Norway/Technology |
Apple Podcasts | #212 |  Belgium/Technology |
Talking Points
Recent interactions between the hosts and their guests.
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?
This podcast provides a comprehensive exploration of Bayesian statistics and its myriad applications. Through discussions with researchers and practitioners from diverse fields, listeners are introduced to the fundamental concepts of Bayesian inference, learning not only successful methodologies but also the challenges and failures encountered along the way. The show makes complex statistical concepts accessible, inviting a broad audience aimed at researchers, data scientists, and anyone eager to integrate Bayesian methods into their workflows. A unique aspect is the emphasis on real-world applications, ranging from astrophysics to public health, showcasing how Bayesian statistics assist in solving critical issues in various domains.
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?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Learning Bayesian Statistics, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for Learning Bayesian Statistics?
Rephonic provides comprehensive predictive audience data for Learning Bayesian Statistics, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does Learning Bayesian Statistics have?
To see how many followers or subscribers Learning Bayesian Statistics has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
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. Data Skeptic
3. DataFramed
4. Latent Space: The AI Engineer Podcast
5. Last Week in AI
How many episodes of Learning Bayesian Statistics are there?
Learning Bayesian Statistics launched 6 years ago and published 170 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?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for Learning Bayesian Statistics?
Rephonic pulls ratings and reviews for Learning Bayesian Statistics from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for Learning Bayesian Statistics?
Rephonic provides full transcripts for episodes of Learning Bayesian Statistics. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
What guests have appeared on Learning Bayesian Statistics?
Recent guests on Learning Bayesian Statistics include:
1. Sam Witty
2. Ron Yurko
3. Max Balandat
4. Melody Monod
5. Ying Zheng
6. François-Xavier Briol
7. Robert Ness
8. Robert Osasua Ness
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.