----------------------------------------------------- Summary ----------------------------------------------------- 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": 35.6616 (1) Parameter "sig1": 0.293549 Results of the marginalization ============================== List of parameters and properties of the marginalized distributions: (0) Parameter "sig0": Mean +- sqrt(V): 35.86 +- 0.4968 Median +- central 68% interval: 35.8 + 0.5951 - 0.4959 (Marginalized) mode: 35.75 5% quantile: 35.1 10% quantile: 35.19 16% quantile: 35.3 84% quantile: 36.42 90% quantile: 36.57 95% quantile: 36.86 Smallest interval(s) containing 68% and local modes: (35, 37) (local mode at 35.75 with rel. height 1; rel. area 0.888) (1) Parameter "sig1": Mean +- sqrt(V): 2.208 +- 1.656 Median +- central 68% interval: 1.884 + 1.99 - 1.32 (Marginalized) mode: 0.5 5% quantile: 0.1787 10% quantile: 0.3551 16% quantile: 0.5642 84% quantile: 3.968 90% quantile: 4.527 95% quantile: 5.41 Smallest interval(s) containing 68% and local modes: (0, 3) (local mode at 0.5 with rel. height 1; rel. area 0.688) Status of the MCMC ================== Convergence reached: yes Number of iterations until convergence: 8000 Number of chains: 5 Number of iterations per chain: 100000 Average efficiencies: (0) Parameter "sig0": 25.84% (1) Parameter "sig1": 24.37% ----------------------------------------------------- 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 -----------------------------------------------------