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 Summary
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 Model summary
 =============
 Model: model
 Number of parameters: 2
 List of Parameters and ranges:
  (0) Parameter "sig0": (0, 50)
  (1) Parameter "sig1": (0, 20)

 Results of the optimization
 ===========================
 Optimization algorithm used: Metropolis MCMC
 List of parameters and global mode:
  (0) Parameter "sig0": 33.1749
  (1) Parameter "sig1": 2.42239

 Results of the marginalization
 ==============================
 List of parameters and properties of the marginalized
 distributions:
  (0) Parameter "sig0":
      Mean +- sqrt(V):                32.92 +- 1.475
      Median +- central 68% interval: 32.92 +  1.482 - 1.48
      (Marginalized) mode:            32.75
       5% quantile:                   30.47
      10% quantile:                   31.03
      16% quantile:                   31.44
      84% quantile:                   34.46
      90% quantile:                   34.83
      95% quantile:                   35.36
      Smallest interval(s) containing 68% and local modes:
       (31.5, 35) (local mode at 32.75 with rel. height 1; rel. area 0.6891)

  (1) Parameter "sig1":
      Mean +- sqrt(V):                3.524 +- 2.271
      Median +- central 68% interval: 3.233 +  2.623 - 2.077
      (Marginalized) mode:            2.5
       5% quantile:                   0.4045
      10% quantile:                   0.7533
      16% quantile:                   1.156
      84% quantile:                   5.971
      90% quantile:                   6.659
      95% quantile:                   7.672
      Smallest interval(s) containing 68% and local modes:
       (0.2, 5) (local mode at 2.5 with rel. height 1; rel. area 0.703)

 Status of the MCMC
 ==================
 Convergence reached:                    yes
 Number of iterations until convergence: 4000
 Number of chains:                       5
 Number of iterations per chain:         100000
 Average efficiencies:
  (0) Parameter "sig0": 20.43%
  (1) Parameter "sig1": 18.96%

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 Notation:
 Mean        : mean value of the marg. pdf
 Median      : maximum of the marg. pdf
 Marg. mode  : most probable value of the marg. pdf
 V           : Variance of the marg. pdf
 Quantiles   : most commonly used quantiles
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