raul-lopez.bsky.social
@raul-lopez.bsky.social
Reposted
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
September 17, 2025 at 7:49 PM
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My Bayesian Data Analysis course at Aalto is starting in 20mins. There are now 375 registered students, but as the course is not compulsory for most, I expect about 230 students to finish it. All the course material is available online at avehtari.github.io/BDA_course_A...
Bayesian Data Analysis course
avehtari.github.io
September 1, 2025 at 10:54 AM
Reposted
Animal energetics, movement, and coexistence are inextricably linked. What insights emerge when we consider these processes together? In our new paper, we present a conceptual framework that integrates these domains, outlines their connections, and highlights the value of their joint study.
August 13, 2025 at 6:41 AM
Reposted
Amazing presentation from @rmcelreath.bsky.social : Bayesian Inference is Just Counting youtu.be/_NEMHM1wDfI?... via @YouTube #Statistics #StatsSky
Bayesian Inference is Just Counting
YouTube video by Richard McElreath
youtu.be
August 3, 2025 at 12:15 PM
Reposted
Excellent presentation on the bootstrap: users.stat.umn.edu/~geyer/boot.... #statistics #StatsSky
users.stat.umn.edu
July 24, 2025 at 12:03 PM
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Published: the paper 'On the uses and abuses of Regression Models: a Call for Reform of Statistical Practice and Teaching' by John Carlin and Margarita Moreno-Betancur in the latest issue of Statistics in Medicine onlinelibrary.wiley.com/doi/10.1002/... (1/8)
onlinelibrary.wiley.com
June 26, 2025 at 12:23 PM
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Terrific article from Darren. One of the worst challenges is that most statistics graduate programs are teaching the wrong topics. One small example: teaching the central limit theorem and not teaching how to well-specify flexible robust statistical models. Another: avoiding Bayes.
Good stuff from Alex. I touch on some of these themes here as well, from the perspective of an applied statistician (plus a few more refs on the topic).

statsepi.substack.com/p/statistica... (ICYMI)
July 16, 2025 at 11:45 AM
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NINA researcher Roel May did an 11-year study to examine if painting one blade of wind turbines black would save the lives of eagles. Now scientists are testing a range of technologies to reduce bird strikes — from painting stripes to using AI — to keep birds safe. e360.yale.edu/features/win...
Birds vs. Wind Turbines: New Research Aims to Prevent Deaths
Window collisions and cats kill more birds than wind farms do, but ornithologists say turbine impacts must be taken seriously. Scientists are testing a range of technologies to reduce bird strikes — f...
e360.yale.edu
June 19, 2025 at 10:44 AM
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📣Announcing the launch of SealMAP: Seal Mapping & Analysis Platform. This SMRU app allows you to explore & download the latest grey & harbour seal distribution maps for Scotland. You can also get estimates of density for your area of interest. Happy mapping! arts.st-andrews.ac.uk/shiny/smru/s... 🦭🗺️
June 20, 2025 at 9:05 AM
Reposted
Reposted
Some people think R² doesn’t belong in Bayesian models
👇 David Kohns disagrees, and he has the math to back it

🎙️Ep. 134: @alex-andorra.bsky.social sits down with economist David Kohns to explore how modern Bayesian methods are reshaping time series modelling

🎧 learnbayesstats.com/episode/134-...
June 13, 2025 at 3:27 PM
Reposted
🚨 Big milestone for Rdatasets 🚨

The web archive now hosts 3400+ free and documented CSV datasets. Fantastic for teaching and testing!

And {Rdatasets} is a new #RStats 📦 for easy download and search

Web archive: vincentarelbundock.github.io/Rdatasets

R 📦: vincentarelbundock.github.io/Rdatasetspkg
June 6, 2025 at 5:39 PM
Reposted
BioTIME 2.0 - the largest biodiversity time-series database - now spans 12 million records from 553,000 locations, tracking ecosystem changes since 1874! 📊

www.idiv.de/major-update...

@uniofstandrews.bsky.social @idiv-research.bsky.social @erc.europa.eu @jon-chase03.bsky.social
Major update to BioTIME 2.0, world’s largest biodiversity time-series database
BioTIME 2.0 is the largest biodiversity time-series database on the planet and gives unprecedented insight into global biodiversity.
www.idiv.de
June 5, 2025 at 12:21 PM
Reposted
Currently, roughly 90–95% of AI usage in biodiversity
and conservation research is simply identifying
a species of interest in gobs of data, says
@sarameghanbeery.bsky.social of the Massachusetts Institute of Technology, co-founder of MegaDetector.

But that promises to change swiftly.
May 5, 2025 at 7:15 PM
Reposted
2024 was a pivotal year for ESP—we launched new models & benchmarks, open-sourced NatureLM-audio, and led key conversations on interspecies understanding.

Dive into our 2024 Annual Report for a glimpse into our progress ⬇️
tinyurl.com/44c9r2sa
June 4, 2025 at 5:17 PM
Reposted
Excellent free book by the world’s expert on spatially explicit capture-recapture (with lots of examples in R)
April 1, 2025 at 6:22 AM
Reposted
Ecologists’ endless quest for automatic inference
statmodeling.stat.columbia.edu/2025/05/28/e...
Ecologists’ endless quest for automatic inference | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
May 28, 2025 at 6:32 PM
Reposted
Our new paper and software tool PointsToWood is out! Led by Harry Owen and Targeted at high performance for small branches, PointsToWood performs #deeplearning enabled leaf-wood semantic segmentation of high resolution #TLS point clouds. 🌿 🌲 🌳

👇performance on unseen tropical data
March 7, 2025 at 12:39 PM
Reposted
🚨🎉 New paper "Ten quick tips to get you started with Bayesian statistics", hope you'll like it 😇🤗

✍🏽 w/ Andy Royle, Marc Kéry and Chloé Nater

🔗 dx.plos.org/10.1371/jour...

@plos.org @cnrsecologie.bsky.social @cnrsoccitanieest.bsky.social @umontpellier.bsky.social
April 11, 2025 at 4:23 AM
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Parallel computation is a long time interest of mine (research and a book), so I am pleased to announce a new package, Rthreads, that provides threading for R! It's a full rewrite of my old package, Rdsm, located in github.com/matloff/Rthr.... 4/
GitHub - matloff/Rthreads
Contribute to matloff/Rthreads development by creating an account on GitHub.
github.com
May 21, 2025 at 2:39 AM
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This paper on causal inference with statistical models is very interesting and is probably more actionable than most causal inference papers: www.tandfonline.com/doi/full/10.... #Statistics #StatsSky #EpiSky
Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
Bayesian modeling provides a principled approach to quantifying uncertainty and has seen a surge of applications in recent years. Within the context of a Bayesian workflow, we are concerned with mo...
www.tandfonline.com
May 21, 2025 at 11:13 AM
Reposted
As grant money starts drying up, it's more important than ever not to waste it on paying publishers' open access "article processing fees" when we can host PDFs for free. Tom Morgan and I wrote a paper on this, forthcoming at Science and Public Policy. Accepted draft here: osf.io/preprints/os...
May 9, 2025 at 5:26 PM
Reposted
Since we are still talking about interactions, I worked with some ecologists a couple of years ago on measurement scale, interactions and interpretation issues. I think some problems arise from failure to distinguish prediction from inference, a chronic problem in ecology imo doi.org/10.1111/brv....
May 13, 2025 at 7:08 AM
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#Statistics thought of the day: Excellent discussion of sample size needed for ordinary multivariable regression models: stats.stackexchange.com/questions/10... #StatsSky
Rules of thumb for minimum sample size for multiple regression
Within the context of a research proposal in the social sciences, I was asked the following question: I have always gone by 100 + m (where m is the number of predictors) when determining minimum s...
stats.stackexchange.com
April 24, 2025 at 11:50 AM
Reposted
📢 We've open-sourced NatureLM-audio, the first audio-language foundation model for #bioacoustics.

Trained on large-scale animal vocalization, human speech & music datasets, the model enables zero-shot classification, detection & querying across diverse species & environments 👇🏽
April 24, 2025 at 3:55 PM