I made the jump and put together a Patreon for supporting my case studies, . The material will always be freely available, but if they've already proven helpful to your work considering supporting to sustain new and improved case studies.
At some point I got drunk and agreed to help give people what they really want: a podcast where two men talk about statistics. The first one (assuming it’s not shite) is recording tonight. Subscribe to Mike’s Patreon for the chaos
I am sure some of you don’t subscribe to ’s Patreon page so you didn’t get a fabulous ordinal regression case study that reminded you not to use shitty priors in your inbox this morning. Maybe reconsider your choices. Support good work.
I've found your Patreon and signed up! Your mission is very important to me, and you're doing a great job. Thanks again.
Support on #patreon and learn a weird trick to Bayesian data analysis
PSA: Anyone who's anybody should listen to the Betancourting Disaster podcast with and . Topics generally cover all things Bayesian and applied statistics using . Do your civic duty and support them at
It did however motivate me to support his awesome case studies on patreon. Still a monster though for making me try to use my brain at this hour.
I joined 's last night. After listening to the "Asymptotics" podcast, I can't believe I waited so long! From Dolly Parton to asymptotics compared to MLE, folks interested in quality statistical practice stand to learn a great deal.
Yessss! I am now a proud patron of on , and you should be too: #NewPatron
For those interested in improving their statistical understanding I have an ever growing series of case studies freely available at . Support my writing on Patreon, , and get early access to new case studies.
Two from -- his own work. -- a discussion of how to specify priors when you have domain expertise. Not his work, but recommended. How to give him money:
After many, many months and over 16,000 words I have a drafted a case study covering probabilistic modeling and statistical inference. I'll be sharing it publicly next month, but for immediate access you can support me on Patreon at $5+
and I recorded a new podcast, . Support me on Patreton for instance access, .
I am now a proud patron of on , and you should be too
I just subscribed to 's patreon to be able to listen to his and 's podcast on statistics. I'm now 15 minutes into the first episode, and I can confirm this was money well spent.
If you subscribe to 's Patreon you get to here it (second episode likely up tomorrow)
To learn more about probability, and to better understand the underlying theories of #datascience, #deeplearning and AI, these following audio resources are available by | #stan •
I have now edited a podcast. How excitement. Subscribe to 's Patreon if you want to hear it (Or maybe hit me up if I like you)
I am now a proud patron of Michael Betancourt on , and you should be too:
I am a proud patron of on Patreon, and if you've learned from him as I have, you should be too!
Happy to say I'm supporting on . I've really learned a lot from chatting with him, reading his case studies, and watching his talks. Looking forward to more learning.
20,000 words, interleaved interactive exercises, and over 40 figures. A draft of a new Markov chain Monte Carlo case study is dropping for my Patreon supporters at the covector level and above next week, . Join now to be ready for the fun.
Just posted an extensive update to my workflow case study for my Patreon supporters; it will be publicly available next week. If you're interested in getting an earlier look consider becoming a Patron at
I just shared a preview of the extensive Markov chain Monte Carlo course material that I'll be using at next month's Machine Learning Summer School with my Patreon supporters (covectors and above), . Join now for instant access!
New podcast alert! and I talk about shawarma and our strategies for reading statistical methodology papers, . Support me on Patreon for instant access, . True dat.
Those paying attention will notice that there is no longer discussion of conditional probability here; that will be remedied in about 48 hours. You can always get early access to my case studies by supporting me on Patreon
I just posted a fun little case study about the geometry of underdetermined linear regression to my Patreon supporters. Join now to get a sneak preview before the case study becomes publicly available in a few weeks
Patreon supporters, , at the covector level and above enjoyed a month-long preview of this material. Consider supporting me if you want to see early releases of upcoming case studies, or just support more work like this.
Two weeks left to support me on Patreon, , and get early access (and opportunity to provide feedback), on my upcoming case study on probabilistic modeling and statistical inference!
I just posted an answer about the interpretability of hierarchical models for my higher-tiered patrons _and_ released October's answer about default priors to all my patrons. Support my case studies on Patreon and get access today
Become a patron, , to see all of the other sentences!
I condense new material in my monthly newsletter, , and you can support my writing, and get early access to writing as well as exclusive access to livestreams, podcasts, and other context, on .
Thanks to all of my patrons who are supporting the development of freely available case studies that span principled approaches to Bayesian inference and modeling
These episodes have been available to my Patreon supporters since February -- many thanks to their support for making these conversations possible
. and I recorded our second podcast, . This time we talked about splines, or really I sat there sipping punch and listening to Dan talk about splines. Support me on Patreon at any level for access!
Continued thanks to my amazing Patreon supporters, , who help make writing like this freely available to anyone trying to improve their statistical foundations.
If you want to support that work you can always support me on Patreon, , hire me to teach a course for your organization or company, , or just tell others about my work, .
Yessss! I am now a proud patron of Michael Betancourt on , and you should be too: #NewPatron
Support me today at any level for instant access to this and previous epsidoes, . And, you know, support my writing and all of that boring stuff. 😎
As always a huge shout out to my Patreon supporters for making case studies like these possible. If you're interested in supporting my work and getting early access to case studies then consider becoming a supporter
My symplectic 2-form supporters and above on my Patreon, , have the opportunity to ask stats questions each month and I feel like most of the time I get more out answering them they do from reading the answers.
In the meantime I post all of those proto-chapters on my website, , as they're available. If you want to support a book like this, and get early access to case studies amongst other perks, then consider becoming a patron, .
My covector+ supporters on Patreon have had an entire month to read through this case study before anyone already. If you like my work and want early access or just want to support more writing like this than consider adding your support as well
Just finished a reasonably successful livestream for my Patreon followers (at the covector level and above), . I'll definitely do it again next month, maybe with some live coding of Stan programs or further rants about statistical methods and history.
And you can always support me on Patreon, . In addition to the quoted reward tiers I've been sharing some snippets of new slides.
If you're support me on Patreon, , you can ask questions all week that will be at the top of the queue. Huge thanks to everyone who has and continues to support me!
As always a huge thanks to my Patreon supporters for helping to make freely available work like this possible
I just finished a new case study on ordinal regression in Stan that includes a shiny new prior model that ensures robustness even when the ordinal responses are sparse. Support me on Patreon at the covector level or above for immediate access
New podcast alert! This episode and I discuss why discrete parameters are so hard to fit, . Support me on Patreon, , for access to this and previous episodes.
Whoops, if you are interested in supporting my writing then head to for more information.
Just in case you were interested Sam and I go into much more depth about this topic and more on the latest podcast available to my Patreon supporters
To listen to past and future episodes, and sustain more conceptual writing about statistics, support me on Patreon