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rnburn

HN member
Joined
Mon, Jan 27, 2020, 9:31 AM UTC
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68
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21 items

About rnburn

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Recent public activity

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    Comment #39400445

    > 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, i…

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    Comment #39394329

    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 h…

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    Comment #39394258

    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.uc…

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    Comment #38341536

    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.…

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    Comment #38341482

    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

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    Comment #37978172

    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, the…

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    Comment #37977040

    > 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 b…

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    Comment #36725696

    > "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…

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    Comment #36713014

    > "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 …

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    Show HN: Deterministic objective Bayesian inference for spatial models [pdf]

    To give some context, objective Bayesian inference refers to Bayesian analysis (i.e. integrating over the parameter space) using a prior that is design to represent "minimal inform…

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