Raúl Peralta Lozada
@raulpl25.bsky.social
Data scientist interested in causal inference, Bayesian statistics and data visualization.
Reposted by Raúl Peralta Lozada
I’m excited that MIT News covered our new paper on confidence intervals for associations in spatial settings!
news.mit.edu/2025/new-met...
news.mit.edu/2025/new-met...
New method improves the reliability of statistical estimations
MIT researchers developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, ...
news.mit.edu
December 12, 2025 at 7:12 PM
I’m excited that MIT News covered our new paper on confidence intervals for associations in spatial settings!
news.mit.edu/2025/new-met...
news.mit.edu/2025/new-met...
Reposted by Raúl Peralta Lozada
A new version of scikit-learn has been released 🥳 check out the highlights: scikit-learn.org/stable/auto_...
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Release Highlights for scikit-learn 1.8
We are pleased to announce the release of scikit-learn 1.8! Many bug fixes and improvements were added, as well as some key new features. Below we detail the highlights of this release. For an exha...
scikit-learn.org
December 11, 2025 at 9:18 AM
A new version of scikit-learn has been released 🥳 check out the highlights: scikit-learn.org/stable/auto_...
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Thanks everyone who contributed to this release!
Let me know what you think of the experimental GPU support
Reposted by Raúl Peralta Lozada
I'm teaching Statistical Rethinking again starting Jan 2026. This time with live lectures, divided into Beginner and Experienced sections. Will be a lot more work for me, but I hope much better for students.
I will record lectures & all will be found at this link: github.com/rmcelreath/s...
I will record lectures & all will be found at this link: github.com/rmcelreath/s...
December 9, 2025 at 1:58 PM
I'm teaching Statistical Rethinking again starting Jan 2026. This time with live lectures, divided into Beginner and Experienced sections. Will be a lot more work for me, but I hope much better for students.
I will record lectures & all will be found at this link: github.com/rmcelreath/s...
I will record lectures & all will be found at this link: github.com/rmcelreath/s...
Reposted by Raúl Peralta Lozada
Only a few more days to register for my charity regression course on Wednesday. All material, including slides and recordings, will be made available for those who cannot attend live. A few sponsored registrations still available. Registration details at betanalpha.github.io/courses/.
Courses
betanalpha.github.io
December 8, 2025 at 5:49 AM
Only a few more days to register for my charity regression course on Wednesday. All material, including slides and recordings, will be made available for those who cannot attend live. A few sponsored registrations still available. Registration details at betanalpha.github.io/courses/.
Reposted by Raúl Peralta Lozada
Brmspy: Python-first access to brms (cmdstanr backend, ArviZ output) by Braffolk discourse.mc-stan.org/t/brmspy-pyt...
Brmspy: Python-first access to brms (cmdstanr backend, ArviZ output)
Hi all. I wanted to share a Python interface I’ve been building for brms that may be useful for anyone who works across both R and Python environments. brmspy provides a Python-side API for fitting b...
discourse.mc-stan.org
December 4, 2025 at 11:26 AM
Brmspy: Python-first access to brms (cmdstanr backend, ArviZ output) by Braffolk discourse.mc-stan.org/t/brmspy-pyt...
Reposted by Raúl Peralta Lozada
😱🙀 The pandas 3.0 release-candidate is here!
💥 Will it break your code?
💡 Test it with `uv pip install -U --pre pandas` to find out!
🌊🦄 Narwhals users can relax, everything's taken care of for you, no need to do anything ☺️
💥 Will it break your code?
💡 Test it with `uv pip install -U --pre pandas` to find out!
🌊🦄 Narwhals users can relax, everything's taken care of for you, no need to do anything ☺️
December 4, 2025 at 2:47 PM
😱🙀 The pandas 3.0 release-candidate is here!
💥 Will it break your code?
💡 Test it with `uv pip install -U --pre pandas` to find out!
🌊🦄 Narwhals users can relax, everything's taken care of for you, no need to do anything ☺️
💥 Will it break your code?
💡 Test it with `uv pip install -U --pre pandas` to find out!
🌊🦄 Narwhals users can relax, everything's taken care of for you, no need to do anything ☺️
Reposted by Raúl Peralta Lozada
Oh boy, you can bet we are cooking the coolest profiler for Python 3.15 👨🍳🔥
December 2, 2025 at 9:42 PM
Oh boy, you can bet we are cooking the coolest profiler for Python 3.15 👨🍳🔥
Reposted by Raúl Peralta Lozada
Here are two examples on causal inference and through the lens of probabilistic programming languages (PPLs):
- Introduction to Causal Inference with PPLs juanitorduz.github.io/intro_causal...
- Causal Inference with Multilevel Models: juanitorduz.github.io/ci_multilevel/
Implementations in PyMC.
- Introduction to Causal Inference with PPLs juanitorduz.github.io/intro_causal...
- Causal Inference with Multilevel Models: juanitorduz.github.io/ci_multilevel/
Implementations in PyMC.
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
November 29, 2025 at 9:58 AM
Here are two examples on causal inference and through the lens of probabilistic programming languages (PPLs):
- Introduction to Causal Inference with PPLs juanitorduz.github.io/intro_causal...
- Causal Inference with Multilevel Models: juanitorduz.github.io/ci_multilevel/
Implementations in PyMC.
- Introduction to Causal Inference with PPLs juanitorduz.github.io/intro_causal...
- Causal Inference with Multilevel Models: juanitorduz.github.io/ci_multilevel/
Implementations in PyMC.
Reposted by Raúl Peralta Lozada
this is happening on Friday!
Wizard Zines is doing another Big Zine Sale again this year on Friday, November 28th! One day only.
here’s a google calendar link for the duration of the sale if you want a reminder: wzrd.page/cal
here’s a google calendar link for the duration of the sale if you want a reminder: wzrd.page/cal
November 25, 2025 at 4:14 PM
this is happening on Friday!
Reposted by Raúl Peralta Lozada
Here is the recording of my talk
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
Notebook: juanitorduz.github.io/intro_svi/
youtu.be/wG0no-mUMf0?...
#pydata #berlin #bayes
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
Notebook: juanitorduz.github.io/intro_svi/
youtu.be/wG0no-mUMf0?...
#pydata #berlin #bayes
Scaling Probabilistic Models with Variational Inference
YouTube video by PyData
youtu.be
November 23, 2025 at 6:18 PM
Here is the recording of my talk
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
Notebook: juanitorduz.github.io/intro_svi/
youtu.be/wG0no-mUMf0?...
#pydata #berlin #bayes
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
Notebook: juanitorduz.github.io/intro_svi/
youtu.be/wG0no-mUMf0?...
#pydata #berlin #bayes
Reposted by Raúl Peralta Lozada
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
November 21, 2025 at 3:08 PM
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
Reposted by Raúl Peralta Lozada
Bill Engels brought Gaussian Processes to life at PyData Seattle 2025.
From hierarchical models to a baseball performance case study, this #PyMC-powered talk shows how to model uncertainty with confidence.
Watch here: dub.link/Qm1q9ju
From hierarchical models to a baseball performance case study, this #PyMC-powered talk shows how to model uncertainty with confidence.
Watch here: dub.link/Qm1q9ju
Bill Engels - Actually using GPs in practice with PyMC | PyData Seattle 2025
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
dub.link
November 17, 2025 at 4:46 PM
Bill Engels brought Gaussian Processes to life at PyData Seattle 2025.
From hierarchical models to a baseball performance case study, this #PyMC-powered talk shows how to model uncertainty with confidence.
Watch here: dub.link/Qm1q9ju
From hierarchical models to a baseball performance case study, this #PyMC-powered talk shows how to model uncertainty with confidence.
Watch here: dub.link/Qm1q9ju
Reposted by Raúl Peralta Lozada
Trying to learn more about fixed effects. I wrote this for me, maybe this is useful for you too dpananos.github.io/posts/2025-1...
Demetri Pananos Ph.D - How to Fit a Generalized Linear Model with Fixed Effects (Pt 1)
dpananos.github.io
November 13, 2025 at 6:42 PM
Trying to learn more about fixed effects. I wrote this for me, maybe this is useful for you too dpananos.github.io/posts/2025-1...
Reposted by Raúl Peralta Lozada
The newest chapter of Think Linear Algebra is up now!
It is about least squares regression, QR decomposition, and orthogonality:
allendowney.github.io/ThinkLinearA...
It is about least squares regression, QR decomposition, and orthogonality:
allendowney.github.io/ThinkLinearA...
October 29, 2025 at 2:30 PM
The newest chapter of Think Linear Algebra is up now!
It is about least squares regression, QR decomposition, and orthogonality:
allendowney.github.io/ThinkLinearA...
It is about least squares regression, QR decomposition, and orthogonality:
allendowney.github.io/ThinkLinearA...
Reposted by Raúl Peralta Lozada
🎉 The program for this year's Causal Data Science Meeting (#CDSM2025) is now live!
📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration
Join us for two days of talks and debates at the intersection of causality, data science, and AI.
👉 causalscience.org
📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration
Join us for two days of talks and debates at the intersection of causality, data science, and AI.
👉 causalscience.org
October 23, 2025 at 1:48 PM
🎉 The program for this year's Causal Data Science Meeting (#CDSM2025) is now live!
📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration
Join us for two days of talks and debates at the intersection of causality, data science, and AI.
👉 causalscience.org
📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration
Join us for two days of talks and debates at the intersection of causality, data science, and AI.
👉 causalscience.org
Reposted by Raúl Peralta Lozada
🎥 The Wednesday conference talks are now live! ✨ Watch them now on our YouTube channel: www.youtube.com/@EuroPythonC...
October 20, 2025 at 12:52 PM
🎥 The Wednesday conference talks are now live! ✨ Watch them now on our YouTube channel: www.youtube.com/@EuroPythonC...
Reposted by Raúl Peralta Lozada
🚀 New talk!
"Automated ML-guided lead optimization: surpassing human-level performance at protein engineering"
▶️ www.youtube.com/watch?v=mEhB...
✨🧪 This was a talk I gave at the recent AIxBIO conference in Cambridge UK. A 10-minute pitch for what we do at Cradle!
"Automated ML-guided lead optimization: surpassing human-level performance at protein engineering"
▶️ www.youtube.com/watch?v=mEhB...
✨🧪 This was a talk I gave at the recent AIxBIO conference in Cambridge UK. A 10-minute pitch for what we do at Cradle!
Automated ML-guided lead optimization: surpassing human-level performance at protein engineering
YouTube video by Patrick Kidger
www.youtube.com
October 7, 2025 at 1:26 PM
🚀 New talk!
"Automated ML-guided lead optimization: surpassing human-level performance at protein engineering"
▶️ www.youtube.com/watch?v=mEhB...
✨🧪 This was a talk I gave at the recent AIxBIO conference in Cambridge UK. A 10-minute pitch for what we do at Cradle!
"Automated ML-guided lead optimization: surpassing human-level performance at protein engineering"
▶️ www.youtube.com/watch?v=mEhB...
✨🧪 This was a talk I gave at the recent AIxBIO conference in Cambridge UK. A 10-minute pitch for what we do at Cradle!
Reposted by Raúl Peralta Lozada
Reposted by Raúl Peralta Lozada
Whoa—my book is up for pre-order!
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8
September 17, 2025 at 7:49 PM
Whoa—my book is up for pre-order!
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8
Reposted by Raúl Peralta Lozada
A nice primer on normalizing flows by PyMC/PyTensor devs Ricardo and Jesse. pytensor.readthedocs.io/en/latest/ga...
Normalizing Flows in PyTensor — PyTensor dev documentation
pytensor.readthedocs.io
September 15, 2025 at 8:39 PM
A nice primer on normalizing flows by PyMC/PyTensor devs Ricardo and Jesse. pytensor.readthedocs.io/en/latest/ga...
Reposted by Raúl Peralta Lozada
PyMC people: Is there a way to implement a weighted formulation of a discrete count likelihood like the poisson, discrete weibull, etc? In Stan I'd typically do this via something like
for(n in 1:N)
target += ({function}(args...) * weights[n]);
for(n in 1:N)
target += ({function}(args...) * weights[n]);
September 12, 2025 at 9:06 PM
PyMC people: Is there a way to implement a weighted formulation of a discrete count likelihood like the poisson, discrete weibull, etc? In Stan I'd typically do this via something like
for(n in 1:N)
target += ({function}(args...) * weights[n]);
for(n in 1:N)
target += ({function}(args...) * weights[n]);
Reposted by Raúl Peralta Lozada
September 12, 2025 at 10:11 PM
Reposted by Raúl Peralta Lozada
Next up, this week's newsletter was about software interview questions! More precisely, how many of them are utterly trivialized by a half-decent constraint solver. buttondown.com/hillelwayne/...
Many Hard Leetcode Problems are Easy Constraint Problems
Use the right tool for the job.
buttondown.com
September 12, 2025 at 3:15 PM
Next up, this week's newsletter was about software interview questions! More precisely, how many of them are utterly trivialized by a half-decent constraint solver. buttondown.com/hillelwayne/...
Reposted by Raúl Peralta Lozada
At the risk of stretching the imagination beyond the limits of human endurance, the reader is asked to pretend that the author is interested in splines #rstats
Splines, B-splines, P-splines, and a disapproving kitten – Notes from a data witch
No, I do not care about splines. But I am trying to learn about GAMLSS regression, and yes, it is to this dark place that this topic has taken me
blog.djnavarro.net
September 8, 2025 at 1:41 AM
At the risk of stretching the imagination beyond the limits of human endurance, the reader is asked to pretend that the author is interested in splines #rstats
Reposted by Raúl Peralta Lozada
scikit-learn 1.8 will be the first scikit-learn release with native extensions that are officially marked as free-threading compatible.
github.com/scikit-learn...
github.com/scikit-learn...
MNT Mark cython extensions as free-threaded compatible by lesteve · Pull Request #31342 · scikit-learn/scikit-learn
Part of #30007
Cython 3.1 has been released on May 8 2025.
Following scipy PR scipy/scipy#22658 to use -Xfreethreading_compatible=True cython argument if cython >= 3.1
This cleans up the lock-fi...
github.com
September 2, 2025 at 4:51 PM
scikit-learn 1.8 will be the first scikit-learn release with native extensions that are officially marked as free-threading compatible.
github.com/scikit-learn...
github.com/scikit-learn...