Learning Bayesian Statistics
Learning Bayesian Statistics
  • Видео 313
  • Просмотров 83 548
#119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/!
• My Intuitive Bayes Online Courses: www.intuitivebayes.com/
• 1:1 Mentorship with me: topmate.io/alex_andorra
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) !
Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;)
Takeaways:
- Bob's research focuses on corruption and political economy.
- Measuring corruption is challenging due to the unobservable nature of the behavior.
- The challenge of studying corruption lies in obtaining honest data.
Innovative survey techniques, like randomized response, can help gath...
Просмотров: 141

Видео

#119 Causal Inference, Fiction Writing and Career Changes, with Robert Kubinec
Просмотров 7014 дней назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward
Просмотров 17428 дней назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#118 Exploring the Future of Stan, with Charles Margossian & Brian Ward
Просмотров 8528 дней назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
Просмотров 296Месяц назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova
Просмотров 173Месяц назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#116 Mastering Soccer Analytics, with Ravi Ramineni
Просмотров 199Месяц назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page to unlock exclusive Bayesian swag ;) Takeaways: - Building an ...
#116 Mastering Soccer Analytics, with Ravi Ramineni
Просмотров 88Месяц назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#115 Using Time Series to Estimate Uncertainty, with Nate Haines
Просмотров 2032 месяца назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#115 Using Time Series to Estimate Uncertainty, with Nate Haines
Просмотров 1682 месяца назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#114 From the Field to the Lab - A Journey in Baseball Science, with Jacob Buffa
Просмотров 852 месяца назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#114 From the Field to the Lab - A Journey in Baseball Science, with Jacob Buffa
Просмотров 622 месяца назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
Просмотров 3833 месяца назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast
Просмотров 1693 месяца назад
Proudly sponsored by PyMC Labs (www.pymc-labs.io/) , the Bayesian Consultancy. Book a call (calendar.google.com/calendar/appointments/schedules/AcZssZ1nOI_SElJzSiQ2sXBDiaW9w98ErjnHVzmHcSilYNWeXxJgV870NGuWZUGo3W-8-gDG8jIXQhBf) , or get in touch (mailto:alex.andorra@pymc-labs.io) ! • My Intuitive Bayes Online Courses (www.intuitivebayes.com/) • 1:1 Mentorship with me (topmate.io/alex_andorra) Our...
#112 Advanced Bayesian Regression, with Tomi Capretto
Просмотров 5023 месяца назад
Proudly sponsored by PyMC Labs. Get in touch at www.pymc-labs.com/! • My Intuitive Bayes Online Courses: www.intuitivebayes.com/ • 1:1 Mentorship with me: topmate.io/alex_andorra Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work (bababrinkman.com/) ! Visit our Patreon page (www.patreon.com/learnbayesstats) to unlock exclusive Bayesian...
#112 Advanced Bayesian Regression, with Tomi Capretto
Просмотров 2853 месяца назад
#112 Advanced Bayesian Regression, with Tomi Capretto
#111 Nerdinsights from the Football Field, with Patrick Ward
Просмотров 1024 месяца назад
#111 Nerdinsights from the Football Field, with Patrick Ward
#111 Nerdinsights from the Football Field, with Patrick Ward
Просмотров 1184 месяца назад
#111 Nerdinsights from the Football Field, with Patrick Ward
#110 Unpacking Bayesian Methods in AI with Sam Duffield
Просмотров 3004 месяца назад
#110 Unpacking Bayesian Methods in AI with Sam Duffield
#110 Unpacking Bayesian Methods in AI with Sam Duffield
Просмотров 1564 месяца назад
#110 Unpacking Bayesian Methods in AI with Sam Duffield
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
Просмотров 2235 месяцев назад
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
Просмотров 1405 месяцев назад
#109 Prior Sensitivity Analysis, Overfitting & Model Selection, with Sonja Winter
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
Просмотров 2595 месяцев назад
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
Просмотров 1355 месяцев назад
#108 Modeling Sports & Extracting Player Values, with Paul Sabin
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Просмотров 4645 месяцев назад
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
Просмотров 2265 месяцев назад
#107 Amortized Bayesian Inference with Deep Neural Networks, with Marvin Schmitt
[MODELING WEBINAR] Fast & Efficient Gaussian Processes | Part 1 | Juan Orduz
Просмотров 1 тыс.6 месяцев назад
[MODELING WEBINAR] Fast & Efficient Gaussian Processes | Part 1 | Juan Orduz
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
Просмотров 6256 месяцев назад
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
Просмотров 3076 месяцев назад
#106 Active Statistics, Two Truths & a Lie, with Andrew Gelman
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff
Просмотров 726 месяцев назад
#105 The Power of Bayesian Statistics in Glaciology, with Andy Aschwanden & Doug Brinkerhoff

Комментарии

  • @Charliemmag
    @Charliemmag 2 дня назад

    Cool talk! Motivation for my probabilistic studies.

  • @easystat1929
    @easystat1929 Месяц назад

    Video shows only a poster . Only sound is available

    • @learningbayesianstatistics8147
      @learningbayesianstatistics8147 29 дней назад

      Ha ha yeah, this episode is a vintage one! Imagine that podcast recording software didn't really exist at the time -- I was doing local recording of sound 🤯

  • @rolandfisher
    @rolandfisher Месяц назад

    Pure gold. Thanks for this.

  • @Michael_Komansky2679
    @Michael_Komansky2679 Месяц назад

    Wow that

  • @gokukakarot1855
    @gokukakarot1855 Месяц назад

    Trexler!!!!!!

  • @devonrd
    @devonrd 2 месяца назад

    Agree

  • @Blurred1-h9f
    @Blurred1-h9f 2 месяца назад

    I skipped the moment Eric said that he is a human being.

  • @kloskas
    @kloskas 3 месяца назад

    Great talk, really exciting application! I find difficult to trust doubly robust and double ML solutions given the fundamental assumption of unconfoundedness, any mitigation measure for this?

  • @themowgli123
    @themowgli123 3 месяца назад

    ET James? Who are you guys talking about? Where is the link?

    • @professer00000
      @professer00000 2 месяца назад

      Edwin Jaynes -- late physics professor at WashU

  • @sgeorg80
    @sgeorg80 3 месяца назад

    👍

  • @scotmorrsn
    @scotmorrsn 4 месяца назад

    Great episode!

  • @araldjean-charles3924
    @araldjean-charles3924 4 месяца назад

    Great explanation. Has anyone ever thought of using these ideas for a language model? It could have continuous learning built in, due to the Bayesian Approach.

  • @FrancescoMADRISOTTI
    @FrancescoMADRISOTTI 5 месяцев назад

    Hâte d'écouter cet épisode !

  • @bla-dd2zg1cr2b
    @bla-dd2zg1cr2b 6 месяцев назад

    we love your accent

  • @andresfelipehiguera785
    @andresfelipehiguera785 6 месяцев назад

    Very interesting, thanks.

  • @matitabicolore
    @matitabicolore 7 месяцев назад

    Alex, your channel is Amazing!!

  • @cerioscha
    @cerioscha 7 месяцев назад

    Is there a typo in the slide @ 5:58 with reads: "P( theta | D ) proportional to P( D | theta ) P(D)". Should this not be: " "P( theta | D ) proportional to P( D | theta ) P(theta)" ?

    • @nathanielforde8952
      @nathanielforde8952 7 месяцев назад

      😅 good catch thanks

    • @cerioscha
      @cerioscha 7 месяцев назад

      @@nathanielforde8952 Not al all, thanks for a great talk. It's a great time to be a Bayesian, we've come a long from "I think therefore i am, to i act because I infer'".

  • @ABG1788
    @ABG1788 7 месяцев назад

    amazing talk

  • @JSinval
    @JSinval 8 месяцев назад

    Wow, I can't believe it's finally here! Such an interesting interview!

  • @shawns0762
    @shawns0762 8 месяцев назад

    There is no black holes. General Relativity predicts dilation, not singularities. In the 1939 journal "Annals of Mathematics" Einstein wrote - "The essential result of this investigation is a clear understanding as to why the Schwarzchild singularities (Schwarzchild was the first to raise the issue of General Relativity predicting singularities) do not exist in physical reality. Although the theory given here treats only clusters (star clusters) whose particles move along circular paths it does seem to be subject to reasonable doubt that more general cases will have analogous results. The Schwarzchild singularities do not appear for the reason that matter cannot be concentrated arbitrarily. And this is due to the fact that otherwise the constituting particles would reach the velocity of light." He was referring to the phenomenon of dilation (sometimes called gamma or y) mass that is dilated is smeared through spacetime relative to an outside observer. It's the phenomenon behind the phrase "mass becomes infinite at the speed of light". Time dilation is just one aspect of dilation. Dilation will occur wherever there is an astronomical quantity of mass because high mass means high momentum. It's the original and correct explanation for why we cannot see light from the galactic center. It can be inferred mathematically that dilation is occurring in our own galactic center. In other words that mass is all around us. Sound familiar? This is the explanation for the abnormally high rotation rates of stars in spiral galaxies. The "missing mass" is dilated mass. It also explains why all planets and all binary stars have normal rotation rates, not 3 times normal. Dilation does not occur in galaxies with low mass centers because they do not have enough mass to achieve relativistic velocities. To date, 6 very low mass galaxies including NGC 1052-DF2 and DF4 have been confirmed to show no signs of dark matter. There was clarity in astronomy before television and movies popularized singularities starting in the 1960's. Einstein is known to have repeatedly said that they cannot exist. Nobody believed in them when he was alive including Plank, Bohr, Schrodinger, Dirac, Heisenberg, Feynman etc.

  • @creedarla
    @creedarla 9 месяцев назад

    Hi, do you need editing services to raise your views on the reels and shorts?

  • @cornagojar
    @cornagojar 10 месяцев назад

    Just finished reading the book, very informative thanks

  • @brianparbhu3285
    @brianparbhu3285 11 месяцев назад

    Awesome talk!

  • @aruncps
    @aruncps Год назад

    Wow... wonderful interview ❤

  • @EdoardoMarcora
    @EdoardoMarcora Год назад

    Great talk Justin... remembering the good ol' days at Caltech! :)

  • @shawns0762
    @shawns0762 Год назад

    There is an elephant in the room explanation for "dark matter". Most people don't know that Einstein said that singularities are not possible. In the 1939 journal "Annals of Mathematics" he wrote "The essential result of this investigation is a clear understanding as to why the Schwarzchild singularities (Schwarzchild was the first to raise the issue of General Relativity predicting singularities) do not exist in physical reality. Although the theory given here treats only clusters (star clusters) whose particles move along circular paths it does seem to be subject to reasonable doubt that more general cases will have analogous results. The Schwarzchild singularities do not appear for the reason that matter cannot be concentrated arbitrarily. And this is due to the fact that otherwise the constituting particles would reach the velocity of light." He was referring to the phenomenon of dilation (sometimes called gamma or y) mass that is dilated is smeared through spacetime relative to an outside observer. It's the phenomenon behind the phrase "mass becomes infinite at the speed of light". Even mass that exists at 75% light speed is partially dilated. General Relativity does not predict singularities when you factor in dilation. Einstein is known to have repeatedly spoken about this. Nobody believed in black holes when he was alive for this reason. Dilation will occur wherever there is an astronomical quantity of mass because high mass means high momentum. There is no place in the universe where mass is more concentrated than at the center of a galaxy. It can be shown mathematically that our own galactic center is dilated. This means that there is no valid XYZ coordinate we can attribute to it, you can't point your finger at something that is smeared through spacetime. Or more precisely, everywhere you point is equally valid. This is the explanation for the abnormally high rotation rates of stars in spiral galaxies, the "missing mass" is dilated mass. According to Einstein's math, there would be no dilation in galaxies with very, very low mass because they do not have enough mass in their centers to achieve relativistic velocities. It has recently been confirmed in 5 very, very low mass galaxies to show no signs of dark matter

  • @mikelwrnc
    @mikelwrnc Год назад

    Neat coincidence: the 1/60 mixture of interesting to uninteresting events mentioned in the video happens to be about the same as the mixture of brain-activity signals to other physiological signals observed in raw fMRI & fNIRS data

  • @niceday2015
    @niceday2015 Год назад

    very good a bayes introducation course for this episode, thanks for sharing , as always more than good

  • @ChristophB-um8wc
    @ChristophB-um8wc Год назад

    great episode!

  • @subzero4579
    @subzero4579 Год назад

    Excellent 👏👏👏

  • @sinraall
    @sinraall Год назад

    Absolutely fantastic. Thanks Justin. Alex, please keep doing these webinar sessions, they add so much value to your excelent podcasts. :-)

    • @learningbayesianstatistics8147
      @learningbayesianstatistics8147 Год назад

      Thanks a lot for your great feedback! Any topic you'd like to hear about in this format?

    • @sinraall
      @sinraall Год назад

      ​@@learningbayesianstatistics8147Thanks for asking. I like the idea to be surprised by any guest you invite. :-) Bayesian factor analysis would be great. Or survival models.

  • @niceday2015
    @niceday2015 Год назад

    Thank you so much for your wonderful work

  • @bradkolb
    @bradkolb Год назад

    This is great stuff.

  • @crossbound9645
    @crossbound9645 Год назад

    Thanks for the subtitles

  • @kyrgyzsanjar
    @kyrgyzsanjar Год назад

    This is really good! Please keep them coming!

  • @Irfankhan-jt9ug
    @Irfankhan-jt9ug Год назад

    Hi thank you for the brilliant podcast. Can you kindly interview Prof. Dr. Samuel Kaski from Aalto University, Finland?

  • @Irfankhan-jt9ug
    @Irfankhan-jt9ug Год назад

    Hi Thanks for the amazing podcast. Can you guys please start tutorials for bayesian stuff? I would be extremely greatful

    • @learningbayesianstatistics8147
      @learningbayesianstatistics8147 Год назад

      Hi, and thanks for listening to the podcast! Happy to hear it's helpful. In addition to this podcast, we have released a wealth of Bayesian content entirely for free. In particular, the documentation for PyMC and ArviZ are comprehensive and freely accessible. www.pymc.io/welcome.html python.arviz.org/en/stable/ I also host modeling webinars ~every month on this very channel (you can already access the first one ;) ) I also recommend the PyMC Labs Meetups (www.meetup.com/pymc-labs-online-meetup/) and RUclips channel (ruclips.net/user/PyMCLabs) Finally, if you want a one-stop-shop, there is my online course: www.intuitivebayes.com/ We've designed it to get you from beginner to practitioner fast. If you're a Patron of my podcast, you get 10% off ;) www.patreon.com/learnbayesstats Once again, thank you for your kind words about my podcast! Hope all of this helps, and best Bayesian wishes

  • @Irfankhan-jt9ug
    @Irfankhan-jt9ug Год назад

    please give the link of the book mentioned in the podcast for learning bayesian statistics

  • @muralik98
    @muralik98 Год назад

    Started reading book today

    • @AnExplorer1000
      @AnExplorer1000 Год назад

      Thinking about doing the same soon. First I'll need to finish a couple of 3B1B's playlists that I've started some time ago. BTW, very nice moto on your profile icon. Kind regards.

  • @sef83
    @sef83 Год назад

    make the speed 1.25 and the music becomes a cool rap song :)

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w Год назад

    Why is Bayesian noticeably prevalent in medicine research?

  • @Irfankhan-jt9ug
    @Irfankhan-jt9ug Год назад

    Hi Thanks for the great channel. Can you please do video podcasts?

  • @mikelwrnc
    @mikelwrnc Год назад

    Finally!😃

  • @wesleyyoung4063
    @wesleyyoung4063 Год назад

    Need that notebook ASAP!

  • @pattiknuth4822
    @pattiknuth4822 Год назад

    Do not waste your time. Strictly audio.

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w 2 года назад

    How can we find out the list of your most popular podcasts? Just like to start by listening to those first if available.

    • @learningbayesianstatistics8147
      @learningbayesianstatistics8147 2 года назад

      Thanks for listening to the pod! Here is a playlist of the most popular episode ;) ruclips.net/video/OJyoXJzxTGs/видео.html

  • @learningbayesianstatistics8147
    @learningbayesianstatistics8147 2 года назад

    This video has been UPDATED and MOVED here: ruclips.net/video/jMMcELbWBCM/видео.html

  • @aminshn8650
    @aminshn8650 2 года назад

    49:46 which book? I couldn't get it

    • @leonardofacchin1452
      @leonardofacchin1452 2 года назад

      I believe he was referring to the book "Statistical Rethinking" by Richard McElreath

  • @mehdishishehbor1686
    @mehdishishehbor1686 2 года назад

    Who is rapping? Loved the podcast.