Tag: statistics
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Connecting to the Blogograph (a continuation of the blogosphere series) to Korea, and getting fired, again.
So I’ve decided we’re renaming the “blogosphere” to the “blogograph,” since this is more accurate. Out of undergrad I met Daniel Kessler, PhD, (https://www.dankessler.me/) yes, at Michigan at Skeeps over a beer. Love this guy, he’s a great technician and I adopted his computational workflow. After talking he invited me to work with the University…
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Connecting to the Blogosphere
So this one’s an experiment. I haven’t gone through this code, but I’m wondering if I throw some links of the source up here, I’ll get more hits, and thus increase the chances I can expand my business. I’ve long been a follower of Professor Andrew Gelman’s blog, but more his text books, research articles…
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So What Actually Happened in Finland? Aalto University Internship Summer 2018, Part 1
After working in the psychiatry department at Michigan, I worked at Aalto University in Espoo, Finland next summer. There, I worked on the Stan math library implementing Gaussian process covariance functions and matrix utilities to make Gaussian process models more feasible in Stan. The ultimate goal was to implement what’s known as “the birthday problem”…
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Additive Gaussian Process Time Series Regression in Stan
I’ve copied this over from discourse.mc-stan.org, but this was my post, so I’m comfortable doing so. While working in the psychiatry department at Michigan, I played around with EEG data. Next, I became curious about how to extract out different periodic components of a time series. I ended up finding a blog post on Andrew…
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My Work at the University of Michigan Psychiatry Department in 2017, Part 1
After I finished my undergraduate degree at the University of Michigan in 2017, in the Mathematical Sciences, and Statistics, I worked in the University of Michigan Psychiatry Department. This was with Daniel Kessler, Dr. Eunjee Lee, Dr. Chandra Sripada, and Mike Angstadt. This was in 2017, so thank you for understanding if vocab isn’t up…
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Clustering Using SVD
Dr. Murthy and I have been working on a way to interpret omics data. We’d like to see if there’s any natural grouping structure to a large dataset. We’ve computed something resembling a cross covariance matrix. After Dr. Murthy experimented with sparse CCA for a while, we tried some other clustering methods or regularization methods…
likely llc 