Nana Quame
@Foro1GH
I model systems for a living, and live for the mystery beyond them.
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I doubt if there are any (undecided) voters whose pick will hinge on US Africa policy, but just in case… Harris or Trump? What the outcome of the 2024 U.S. presidential election portends for America's Africa policy: africanistperspective.com/p/harris-or-tr…
. @OsagyefoNKB @HubertBaid80747 The "12 Pillars" manifesto is ambitious but not a policy document. To fairly evaluate feasibility, we need an actionable framework with timelines, funding sources, and implementation plans. I’ve combed your websites for such details to no avail.…
To all those who sent me the article claiming to rebut my essay on why Ghana Card is a ripoff, here is my reaction. The author of that article has a whole lot of explaining to do if his views are to be taken seriously. #SaveGhanaCard brightsimons.com/2024/04/02/the…
Bayesian nugget of the day: Metropolis-Hastings. 1) Draw a candidate θ from a proposal q(θ|θₜ), 2) Accept θ if u < π(θ)/π(θₜ) q(θₜ|θ)/q(θ|θₜ) for u~U[0,1], 3) Repeat. Beautifully, this results in a Markov chain whose stationary distribution coincides with the target π!
Here's what the future of education looks like: 1. Teaching will become an extremely lucrative profession. Salaries will follow a power law. The best teachers will make millions of dollars per year and teach thousands of students every year. In fact, this is already happening.
A non-linearity that works much better than ReLUs. The work described in this video might also be relevant to understanding grid cells. youtube.com/watch?v=Q2fLWG…
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Implicit Neural Representations with Periodic Activation Functions
#Rstats fiends and Bayesian freaks, it’s finally here. The inaugural 0.0.1 version of my translation of the second edition of @rlmcelreath’s “Statistical rethinking” into #brms and the #tidyverse is up! bookdown.org/content/4857/ 1/5
Like everyone else I've had many things on my mind this last week, most of them sad. On a positive note, I'd like to share the story of one of my favorite mathematicians: David Blackwell. His work had a huge impact on me, and his story is not shared often enough.
Tomorrow's ISSI speaker is Małgorzata Bogdan, who will speak about an adaptive Bayesian version of the SLOPE algorithm, for regression with missing covariate values. Discussion by Cynthia Rush to follow. Join at: sites.google.com/view/selective…
Bayesian continuous-time Kaplan-Meier survival function fit with #brms and plotted in a stepped line/ribbon plot with #tidybayes:
Did you know that the optimal ridge penalty λ in linear regression can be *negative*? It's always strictly positive when n>p. Or when cov(x)=I. Or when true β is random. But here we argue that it can be zero or even negative when p>>n: arxiv.org/abs/1805.10939. HOW?! [1/n]
![hippopedoid's tweet image. Did you know that the optimal ridge penalty λ in linear regression can be *negative*? It's always strictly positive when n&gt;p. Or when cov(x)=I. Or when true β is random. But here we argue that it can be zero or even negative when p&gt;&gt;n: arxiv.org/abs/1805.10939. HOW?! [1/n]](https://pbs.twimg.com/media/EVpDcfjXkAEoBkS.jpg)
BDA FREE (Bayesian Data Analysis now available online as pdf) statmodeling.stat.columbia.edu/2020/04/06/bda…
This is GAME CHANGER. Abbott to market, starting next week, a fast point-of-care #coronavirus test, delivering positive results in 5min and negative results in 13min. Will deliver 50K tests/day to start. Kudos to Abbott and FDA’s Jeff Shuren and team at CDRH who are in the fight.
What does it mean that 20% of hospitalizations are in patients 20-44 years? An EPI 101 tutorial on how to interpret this widely circulated figure.
New preprint on penalized estimation of flexible #HMMs for time series of counts w/o the need to specify a (parametric) family of distributions (w/ applications to #earthquakes 📉 and #sharks 🦈): arxiv.org/pdf/1901.03275…!
The Ivory Coast and Ghana, which produce over 60% of the world’s cocoa, have banded together to charge a premium. Prepare to pay more for chocolate. on.wsj.com/2FvcjzE
AI curriculum 🤖 CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 cs231n.stanford.edu CS224n: NLP with Deep Learning, Stanford | Winter 2019 web.stanford.edu/class/cs224n/i… CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019 youtube.com/playlist?list=…
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