Ați ajustat un model bayesian normal!

Fundamentals of Bayesian Data Analysis in R

Rasmus Bååth

Data Scientist

BEST

  • Model bayesian dezvoltat de John Kruschke.
  • Presupune că datele provin dintr-o distribuție t.

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

BEST

  • Model bayesian dezvoltat de John Kruschke.
  • Presupune că datele provin dintr-o distribuție t.
  • Estimează media, deviația standard și parametrul gradelor de libertate.
  • library(BEST)
  • Utilizează lanțuri Markov Monte Carlo (MCMC).
Fundamentals of Bayesian Data Analysis in R

Să folosim BEST!

library(BEST)
iq <- c(55, 44, 34, 18, 51, 40, 40, 49, 48, 46)
Fundamentals of Bayesian Data Analysis in R

Să folosim BEST!

library(BEST)
iq <- c(55, 44, 34, 18, 51, 40, 40, 49, 48, 46)
fit <- BESTmcmc(iq)
Fundamentals of Bayesian Data Analysis in R

Să folosim BEST!

library(BEST)
iq <- c(55, 44, 34, 18, 51, 40, 40, 49, 48, 46)
fit <- BESTmcmc(iq)
fit

MCMC fit results for BEST analysis:

       mean     sd median  HDIlo HDIup  
mu    43.15  3.810  43.28 35.367 50.49 
nu    27.42 26.647  18.91  1.001 81.59 
sigma 11.00  3.754  10.44  4.857 18.38
Fundamentals of Bayesian Data Analysis in R

Să folosim BEST!

library(BEST)
iq <- c(55, 44, 34, 18, 51, 40, 40, 49, 48, 46)
fit <- BESTmcmc(iq)
plot(fit)

Fundamentals of Bayesian Data Analysis in R

Încercați BEST singuri!

Fundamentals of Bayesian Data Analysis in R

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