[HN Gopher] Bayesian Workflow (2020)
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       Bayesian Workflow (2020)
        
       Author : Tomte
       Score  : 24 points
       Date   : 2022-06-25 20:42 UTC (2 hours ago)
        
 (HTM) web link (arxiv.org)
 (TXT) w3m dump (arxiv.org)
        
       | raziel2701 wrote:
       | I can't find an example of how to use Bayesian statistics with
       | some real data and when to use it.
       | 
       | If I have a bunch of IV curves from a bunch of devices, in my
       | calculation of R using Ohm's law V = IR should I be using a
       | Bayesian approach to calculate the uncertainty of measurement? Or
       | is Bayesian something else to be used for esoteric academic
       | cases??
        
         | Quasimoto3000 wrote:
         | "Should" you be using Bayesian statistics? That simply comes
         | down to personal preference. I like to use it because it makes
         | it really easy to reason about uncertainty in downstream
         | applications. It's also useful when I have strong prior
         | knowledge about an estimate or am updating it from a previous
         | measurement. Its also especially useful when the data
         | generating process has multiple stages or subpopulations and
         | the particular application can make use of those component
         | measurements.
         | 
         | You can totally use Bayesian statistics to measure V = IR...
         | You could also just bootstrap `V/I`.
        
         | tyingq wrote:
         | Here's an example of bayesian statistics being used in that
         | same space for a real world purpose:
         | https://aip.scitation.org/doi/10.1063/1.5143082
         | 
         | Basically replacing manual human visual analysis of a Nyquist
         | plot, one step used in AC impedance spectroscopy.
        
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       (page generated 2022-06-25 23:01 UTC)