Agree

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

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?

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

👍

Great episode!

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.

Hâte d'écouter cet épisode !

we love your accent

Very interesting, thanks.

Alex, your channel is Amazing!!

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)" ?

amazing talk

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

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.

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

Just finished reading the book, very informative thanks

Awesome talk!

Wow... wonderful interview ❤

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

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

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

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

great episode!

Excellent 👏👏👏

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

Thank you so much for your wonderful work

This is great stuff.

Thanks for the subtitles

This is really good! Please keep them coming!

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

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

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

Started reading book today

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

Why is Bayesian noticeably prevalent in medicine research?

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

Finally!😃

Need that notebook ASAP!

Do not waste your time. Strictly audio.

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

This video has been UPDATED and MOVED here: kzbin.info/www/bejne/oH6wlHiCl7x1ea8

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

Who is rapping? Loved the podcast.

Same here. Bought the book before I was done listening. This was great.

Ah I have watched Aubrey's KZbin lectures in the past. Nice to see him as a guest!

Thanks for the interview, I liked Aubrey's lessons about Jaynes's book

I listen to this episode again and again, not only benefiting from the academic Resources, but also his altitude towards learning. Don't have to apologize for the past. It is not easy for me to learn bayesian statistics, but every small step makes me much more clearer about the my biology experiments design. How to figure out compounding(d-separation) and the way to consider most of the event from a probability point of view. I am lucky to come across with your podcast. I hope you may keep the good job and it is really a key to open the door to a bayesian statistics world. Thanks a lot.

Months to run a model, ??oh?? . Always enjoy Alex's clear voice, and speak highly of his modest.