19. Calculation of individual level parameters

Calculation of the individual level parameters for the model defined in 5. Mixture of logit models: normal distribution.

Michel Bierlaire, EPFL Mon Nov 17 2025, 18:59:56

import sys

from IPython.core.display_functions import display

from biogeme.bayesian_estimation import BayesianResults

Retrieve estimation results

result_file_name = 'saved_results/b05_normal_mixture.nc'
try:
    the_estimation_results = BayesianResults.from_netcdf(filename=result_file_name)
except FileNotFoundError:
    print(f'File {result_file_name} does not exist')
    sys.exit()

load finished in 399 ms

With Bayesian estimation, the individual-level parameters are automatically generated. We simply retrieve them from estimation results.

sim = the_estimation_results.posterior_mean_by_observation(var_name='b_time_rnd')
display(sim)

      b_time_rnd
obs
0      -2.736937
1      -2.714259
2      -2.798184
3      -2.552017
4      -2.661753
...          ...
6763   -1.337840
6764   -1.209006
6765   -1.185065
6766   -0.783179
6767   -1.310067

[6768 rows x 1 columns]