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Nelson Tang

@nelsontang.com
3.2K followers 1K following 116 posts

Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com

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Reposted by Nelson Tang
juanitorduz @juanitorduz.bsky.social · 23/11/2025
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
youtu.be
Scaling Probabilistic Models with Variational Inference
YouTube video by PyData
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Reposted by Nelson Tang
Sung Kim @sungkim.bsky.social · 19/10/2025
A new 246-pages book on MCMC. "Finite Markov chains and Monte-Carlo Methods: An Undergraduate Introduction" This is a free textbook suitable for a one-semester course on Markov chains, covering basics of finite-state chains, many classical models, asymptotic behavior and mixing times,
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Chelsea Parlett @chelseaparlett.bsky.social · 29/08/2025
I’m especially proud of this article I wrote about Gaussian Processes for the Recast blog! 🥳 GPs are super interesting, but it’s not easy to wrap your head around them at first 🤔 This is a medium level (more intuition than math) introduction to GPs for time series. getrecast.com/gaussian-pro...
A Gaussian process showing that the allowed time series are forced to be compatible with data
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Rob Hyndman @robjhyndman.com · 11/04/2025
A new Python edition of "Forecasting: Principles and Practice" is now available online at otexts.com/fpppy/. Thanks to @azulgarza.bsky.social, Cristian Challu, Max Mergenthaler, Kin Olivares & Nixtla for making this happen. #forecasting #python
otexts.com
Forecasting: Principles and Practice, the Pythonic Way
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Heather Urry @heatherurry.io · 27/03/2025
Need to explain (or understand) linear mixed effects regressions, random intercepts, and random slopes? Look no further than "A Visual Introduction to Hierarchical Models" by Michael Freeman, 2017. It's a banger!
mfviz.com
A Visual Introduction to Hierarchical Models
A visual explanation of multi-level modeling
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Carl T. Bergstrom @carlbergstrom.com · 25/03/2025
With all the bad shit going on, I'm trying to spend more time reading science and math and less doom-scrolling. Today's diversion was an exploration of the James-Stein estimator, wherein we can get a better joint estimate of the means of three variables than by taking the mean of each variable.
researchgate.net
(PDF) Stein's Paradox in Statistics
PDF | On May 1, 1977, Bradley Efron and others published Stein's Paradox in Statistics | Find, read and cite all the research you need on ResearchGate
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Sung Kim @sungkim.bsky.social · 25/03/2025
This has been updated to v2. arxiv.org/abs/2412.052...
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Nelson Tang @nelsontang.com · 04/02/2025
Time to reinstall R
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Nelson Tang @nelsontang.com · 04/02/2025
Now you too can refine macrodata! lumon-industries.com
lumon-industries.com
Lumon Industries
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Reposted by Nelson Tang
Tyler Hillery @tylerhillery.com · 01/02/2025
Friendly reminder, don't forget to prune your uv cache
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Nelson Tang @nelsontang.com · 16/01/2025
Dev logs are new to me but they sound like a great idea. Here a Reddit user shares their format for keeping a dev log and also using it for some self care: www.reddit.com/r/Experience...
reddit.com
From the ExperiencedDevs community on Reddit: The way you treat yourself is important.
Explore this post and more from the ExperiencedDevs community
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Nelson Tang @nelsontang.com · 27/12/2024
As a DS who works remote, this feels an elegant way of quickly spinning up a DAG and collaborating, brainstorming, or teaching without a whiteboard. It's pretty enough to drop into a stakeholder deck and it's got a generous free 'explorer' tier. Definitely belongs in the quiver
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Reposted by Nelson Tang
travis gerke @travisgerke.bsky.social · 26/12/2024
In case any of you #rstats / #quarto folks are updating sites as a holiday task, TIL a slick way to get the Bluesky logo in: the iconify extension does it with: {{< iconify fa6-brands bluesky >}} github.com/mcanouil/qua... Also has academicons, etc 🎉
a screenshot of my updated homepage, with the bluesky vector logo circled
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Nelson Tang @nelsontang.com · 21/12/2024
A little late to the party here, but just read a fascinating (totally real) paper on applied gaussian processes. Titled "On the tardiness of coworkers and how to exploit it": jabde.com/2023/02/12/c...
jabde.com
On The Tardiness Of Coworkers And How To Exploit It - Journal of Astrological Big Data Ecology
In this groundbreaking research, we determine the optimum amount of time to show up late to a meeting by arbitrarily assigning numbers to things
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Nelson Tang @nelsontang.com · 07/12/2024
Don’t think I’ve ever seen a better intro to state space models. Bonus points for interactivity!
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Nelson Tang @nelsontang.com · 02/12/2024
Handy helper function for generating a dataset with causal relationships and visualize the DAG. This was one of my last bookmarks I had from the other place, glad to have found that @robdonnelly47.bsky.social reposted here.
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Nelson Tang @nelsontang.com · 30/11/2024
Jane Street is hosting a market data forecasting competition on Kaggle: www.kaggle.com/competitions...
kaggle.com
Jane Street Real-Time Market Data Forecasting
Predict financial market responders using real-world data.
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Paul Goldsmith-Pinkham @paulgp.com · 30/11/2024
Economists love using linear regression to estimate treatment effects — it turns out that there are perils to this method, but also amazing perks Come with me in this 🧵 if you want to learn about our now-published paper "Contamination Bias in Linear Regressions!" 1/ (Twitter rerun!)
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Adam Fleischhacker @adam-fleischhacker.bsky.social · 20/11/2024
Nice words from Nelson were the tipping point for me. I am here on bluesky now. Please enjoy my free text below😀. Thx!
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Nelson Tang @nelsontang.com · 18/11/2024
Happy Monday!
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Nelson Tang @nelsontang.com · 16/11/2024
Somebody used powerbi to make a data-driven game: www.reddit.com/r/PowerBI/co... Top comment: “Can you export it to Excel?”
reddit.com
Reddit - Dive into anything
Everything you need to know about Power BI: news, resources, and a community of super users ready to answer questions!
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Mourad Heddaya @mheddaya.bsky.social · 15/11/2024
How do everyday narratives reveal hidden cause-and-effect patterns that shape our beliefs and behaviors? In our paper, we propose Causal Micro-Narratives to uncover narratives from real-world data. As a case study, we characterize the narratives about inflation in news.
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Nelson Tang @nelsontang.com · 14/11/2024
No official migration guide from `poetry` projects to `uv` but I found this mini-guide hiding in github.com/astral-sh/uv... useful. in short: install `pdm` and then ``` uvx pdm import pyproject.toml ``` and then you can remove all the poetry stuff from the pyproject.toml file
github.com
Write migration guides · Issue #5200 · astral-sh/uv
e.g from Poetry and pip-tools to uv
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Nelson Tang @nelsontang.com · 13/11/2024
First time hearing about pym.dev/strptime, like those regex testers but for strftime so it's a real lifesaver
pym.dev
Find your strptime/strftime format
Tired of looking up the format codes you need for datetime formatting and parsing in Python? Quickly figure out the whole format string you need for your date/time format.
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Nelson Tang @nelsontang.com · 13/11/2024
Persuasive Python (www.persuasivepython.com) by Adam Fleischhacker (maybe: @adam-fleischhacker.bsky.social) is a great introduction to bayesian inference, numpyro, JAX, and more! Appreciate having the context of applied examples in this book and makes numpyro more approachable
persuasivepython.com
Persuasive Python
Written by award-winning professor, software designer, researcher, and industry-active analytics consultant Dr. Adam Fleischhacker.
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Reposted by Nelson Tang
Caitlin Grady @caitlinagrady.bsky.social · 12/11/2024
Taking a pause from COP news to post about #AI and #electricity today while attending the National Academies workshop on AI related data center electricity use and emissions. Follow along for the play by play. #EnergySky #energy
Picture of stage with speaker Arman Shehabki
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Nelson Tang @nelsontang.com · 12/11/2024
That banana one made me spit out my coffee. Absolutely deranged
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Nelson Tang @nelsontang.com · 11/11/2024
Introduce yourself with past jobs - Library Page - Art & framing store associate - Officer stuff @ USAF - Procurement Intern @ Nike - Corp. Finance -> Data Science @ Intel - Pricing/RGM DS @ Clorox - Sales Ops DS @ NVIDIA
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Nelson Tang @nelsontang.com · 11/11/2024
Happy Veterans Day to everyone who served and is still serving. I’m going to celebrate by drinking 3-4 cups of free coffee because it’s been 4 straight days of two tiny kids with no daycare
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Nelson Tang @nelsontang.com · 09/11/2024
Why does it think I write on monitors
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Reposted by Nelson Tang
Colin Carroll @colcarroll.bsky.social · 08/11/2024
I'll keep hawking arxiv.org/abs/2411.04260 (published yesterday!), which at least acknowledges the existence of large data sets, and has some recommendations and pointers to other papers.
arxiv.org
Running Markov Chain Monte Carlo on Modern Hardware and Software
Today, cheap numerical hardware offers huge amounts of parallel computing power, much of which is used for the task of fitting neural networks to data. Adoption of this hardware to accelerate statisti...
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Nelson Tang @nelsontang.com · 07/11/2024
My coping mechanism is doomscrolling the pyro docs in hopes that maybe *this time* it’ll stick.
pyro.ai
Introduction to Pyro — Pyro Tutorials 1.9.1 documentation
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Reposted by Nelson Tang
Andrew Therriault @therriault.bsky.social · 05/11/2024
If there was one night for me to make a comeback, I guess it's this one... who's here?
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Nelson Tang @nelsontang.com · 05/11/2024
Sure wish @therriault.bsky.social was still posting here
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Ethan @ethanrosenthal.com · 04/11/2024
The uv instructions for running jupyter with a dedicated package kernel are sooo much easier than the way that I used to do things with pyenv, pyenv-virtualenv, pipx, and poetry. docs.astral.sh/uv/guides/in...
To create a kernel, you'll need to install ipykernel as a development dependency:


uv add --dev ipykernel
Then, you can create the kernel for project with:


uv run ipython kernel install --user --name=project
From there, start the server with:


uv run --with jupyter jupyter lab
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Nelson Tang @nelsontang.com · 03/11/2024
Tons of ads on this site but occasionally there’s gold
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Reposted by Nelson Tang
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 01/11/2024
StanCon is the best conference, with talented people from industry, gov, academia presenting detailed talks about probabilistic programming (not just Stan). Start with Vianey's talk about hidden markov models and SHARKS, then check out the rest:
youtube.com
From the Depths to the Stars: Modeling Shark Movements (Vianey Leos Barajas)
YouTube video by Stan
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Kirsten Lum @machsci.bsky.social · 02/11/2024
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Nelson Tang @nelsontang.com · 02/11/2024
Can never have enough educational data viz
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Randy Au @randyau.com · 31/10/2024
Just FYI, @gecky.me set up a feed for #dataBS #datasky #databsky that pulls in posts from all those hashtags so you can just watch us struggle with how two of those are clearly worse than the one obvious winner bsky.app/profile/geck...
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Nelson Tang @nelsontang.com · 30/10/2024
Trying to explain prediction intervals to a non-technical audience, so I'm testing out some animated plots to explain why having intervals is a good thing when they're used to just point forecasts
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Nelson Tang @nelsontang.com · 30/10/2024
Glad to see Katie Bauer is active here! There’s a lot of content out there but very few people can so clearly articulate what it takes to drive clarity and influence as a leader in the data function.
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Reposted by Nelson Tang
JD Long @jdlong.cerebralmastication.com · 29/10/2024
For the uninitiated, this is the best Bayesian methods class. If you’re Bayescurious, just take it.
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Reposted by Nelson Tang
alex hayes @alexpghayes.com · 27/10/2024
Fast and easy way to set your handle to your #quarto blog domain (I just did mine): - Settings > Change Handle > No DNS Panel > Copy DID - Create atproto-did file in blog - Add atproto-did file to Quarto resources list - Push Takes <5 minutes
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Nelson Tang @nelsontang.com · 27/10/2024
As someone who has to build org and team data literacy, stuff like this is gold
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Jeremy Allen @jeremy-data.bsky.social · 26/10/2024
My fav starter packs so far, a thread: stats: go.bsky.app/Ki7PjpS stats: go.bsky.app/7TBN5rX causal inference: go.bsky.app/FdemGAZ package devs: go.bsky.app/N1569Qh data peeps: go.bsky.app/8TdEfdK medical stats: go.bsky.app/ArqEz36 bioinformatics: go.bsky.app/Ha64Gmv r-ladies: go.bsky.app/Vgxwa2F
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