rnburn

5 ms·

1. 1.▲
   How to use orthogonal distance fitting to make ultra-compact SVG plots [pdf](buildingblock.ai)

   2 points by rnburn 7mo ago|0 comments
2. 2.▲
   An orthogonal distance fitting algorithm for vector graphics plotting [pdf](github.com)

   1 points by rnburn 8mo ago|0 comments
3. 3.▲
   Objective Bayesian Hypothesis Testing(objectivebayesian.com)

   79 points by rnburn 2y ago|18 comments
4. 4.▲
   Introduction to Modern Inverse Probability [pdf](buildingblock.ai)

   3 points by rnburn 3y ago|0 comments
5. 5.▲
   by rnburn 3y ago

   > By this metric, we can see that the states where it’s easiest to find housing include Utah (2.83 units per capita), California (2.75), Hawaii (2.57), and Texas (2.57). Overall, in the United States, there are approximately 2.35 housing
6. 6.▲
   by rnburn 3y ago

   California has close to the worst per capita housing supply of any state in the US. From https://www.vox.com/cities-and-urbanism/2018/2/23/17011154/s... : "The state’s population has steadily gr
7. 7.▲
   by rnburn 3y ago

   Where are you getting that 90% number from? That doesn't match with any source I'm familiar with. For example, the 2023 statewide homeless study from UCSF ( https://homelessness.ucsf.edu/sites/default/file
8. 8.▲
   by rnburn 3y ago

   That's a good book. I'd also recommend John Tukey's classic paper "Some Graphic and Semigraphic Displays", https://www.edwardtufte.com/tufte/tukey Tukey was one of Tufte's mentors.
9. 9.▲
   by rnburn 3y ago

   One other rule I've found helpful is banking to 45 degrees -- it's an easy way to rmake elationships easier to perceive: http://vis.stanford.edu/files/2006-Banking-InfoVis.pdf
10. 10.▲
    by rnburn 3y ago

    The paper gives the rate of convergence you get with Polynomial interpolants in Chebyshev nodes: > If f has v derivatives, with the vth derivative being of bounded variation V, then ||f - p_n|| = O(V n^{-v}) as n -> ∞ and > If f is
11. 11.▲
    by rnburn 3y ago

    > There are many techniques to interpolate between a given set of points. Polynomial interpolation can perfectly fit N points with an N-1 degree polynomial, but this approach can be problematic for large a N; high-degree polynomials tend
12. 12.▲
    Panic better using modern C++(buildingblock.ai)

    2 points by rnburn 3y ago|0 comments
13. 13.▲
    by rnburn 3y ago

    > "A reasonable model for the “blowup factor” (actual time divided by estimated time) would be something like a log-normal distribution. Research has shown a power-law distribution to be a better fit. See "The Empirical Reality
14. 14.▲
    by rnburn 3y ago

    > "it is estimated that 75% of SF’s homeless are from outside of the city" -- Where are you getting that 75% number from? The latest survey I'm familiar with showed nearly exactly the opposite (71% of homeless in SF had a
15. 15.▲
    Show HN: Deterministic objective Bayesian inference for spatial models [pdf](buildingblock.ai)

    4 points by rnburn 3y ago|0 comments
16. 16.▲
    Find the best regularization for ridge regression using an optimizer(github.com)

    1 points by rnburn 6y ago|0 comments