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Articles by Christopher Krapu
Don't know where your data is from? Bayesian modeling for unknown coordinates
An especially strong motivating case for the usage of spatial probability models comes from the mining industry. During exploration for mineral resources, prospectors will take geologic samples by drilling holes and examining the resulting material for presence or concentration of valuable ores.
Rolling your own serverless OCR in 40 lines of code
A few months ago, I wanted to make my copy of Gelman’s Bayesian Data Analysis searchable for use in a statistics-focused agent. There are some pretty sophisticated OCR tools out there but they tend to have usage limits or get expensive when you’re processing thousands of pages. DeepSeek recently released an open OCR model that handles mathematical notation well, and I figured I could run it myself if I had access to a GPU.
Using Antigravity for Statistical Physics in JS
I like learning about the hidden benchmarks that everyone seems to bring out when a new large language model drops. Mine used to be asking the model about obscure but well-documented people on the internet like family members or acquaintances in the sciences or with IMDB credits. Since ~late 2024, most models are nailing that one so it’s not as interesting. Instead, I’ve moved onto Javascript-based visualizations.
I know that you didn't write this. I am a SOTA 0-shot classifier of your slop.
If you are reading this, you were most likely sent here after you shared a document with me and I viewed it unfavorably. Perhaps it was an awesome auth middleware that you vibe coded last night. It could have been a work plan to get into Carnegie Mellon, produced by the hottest new college admissions AI. Maybe it was even a message that was supposed to be heartfelt and deeply personal, but instead got mangled through 26 TFLOPs of DeepSeek-based revisions.
Solving climate change by abusing thermodynamic scaling laws
TL;DR: To stop climate change, just do this - raise crops for biomass (sequestering CO2) and freeze them in huge aboveground piles during winter by running pipes through the middle. With a little insulation, they won’t ever thaw out during the summer. Since thermal exchange is \(\propto r^2\) and total heat capacity \(\propto r^3\), a big pile can be kept frozen indefinitely with a few tricks. This is text from a research proposal I never finished. I keep thinking that I should do something with it.
International Congress on Environmental Modelling and Software: Efficient Inference for Mechanistic Models with Hamiltonian Monte Carlo
Home > Engineering and Technology > Civil and Environmental Engineering > iEMSs Conference > 2018 > Stream B > 3 Presenter/Author Information Christopher Krapu, Duke UniversityFollow Mark Borsuk, Duke UniversityFollow Keywords Bayesian inference. Hydrology modeling.
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