Index

_

_check_std_definitions() (ForwardModelBase method) _evaluate_interface() (ForwardModelBase method) _plot() (ProbabilityDistribution static method) _run_ml_or_map() (ScipySolver method) _translate_experiments() (ScipySolver method) (Solver method)

_translate_forward_models() (ScipySolver method) (Solver method) _translate_likelihood_models() (ScipySolver method) (Solver method) _translate_parameters() (ScipySolver method) (Solver method)

A

add_experiment() (InverseProblem method) add_forward_model() (InverseProblem method)

add_likelihood_model() (InverseProblem method) add_parameter() (InverseProblem method) (Parameters method)

C

change_constant() (InverseProblem method) change_parameter_info() (InverseProblem method) change_parameter_role() (InverseProblem method) change_parameter_type() (InverseProblem method) changed_copy() (ParameterProperties method) check_bounds_inc_inc() (ScalarInterval method) check_bounds_inc_ninc() (ScalarInterval method) check_bounds_ninc_inc() (ScalarInterval method) check_bounds_ninc_ninc() (ScalarInterval method) check_consistency() (ParameterProperties method) check_parameter_domains() (InverseProblem method) check_problem_consistency() (InverseProblem method)

confirm_that_parameter_does_not_exists() (Parameters method) confirm_that_parameter_exists() (Parameters method) connect_experimental_data_to_sensors() (ForwardModelBase method) const_parameter_values() (Parameters method) constant_prms (InverseProblem property) (Parameters property) constant_prms_dict (InverseProblem property) (Parameters property) correlation_variables (GaussianLikelihoodModel property) create_pair_plot() (in module probeye.postprocessing.sampling_plots) create_posterior_plot() (in module probeye.postprocessing.sampling_plots) create_trace_plot() (in module probeye.postprocessing.sampling_plots)

D

determine_output_lengths() (GaussianLikelihoodModel method) dim (ParameterProperties property)

domain (ParameterProperties property) DynestySolver (class in probeye.inference.dynesty.solver)

E

emcee_summary() (EmceeSolver method)

EmceeSolver (class in probeye.inference.emcee.solver) evaluate_model_response() (ScipySolver method)

F

ForwardModelBase (class in probeye.definition.forward_model)

G

GaussianLikelihoodModel (class in probeye.definition.likelihood_model) get_experiment_names() (InverseProblem method) get_parameters() (InverseProblem method)

get_start_values() (ScipySolver method) get_summary() (DynestySolver method) get_theta_names() (InverseProblem method)

I

index (ParameterProperties property) index_end (ParameterProperties property) info() (InverseProblem method) input_channel_names (ForwardModelBase property) input_sensor (ForwardModelBase property)

input_sensor_dict (ForwardModelBase property) input_sensor_names (ForwardModelBase property) interface() (ForwardModelBase method) InverseProblem (class in probeye.definition.inverse_problem) is_const (ParameterProperties property) is_latent (ParameterProperties property)

L

latent_prms (InverseProblem property) (Parameters property) latent_prms_dims (InverseProblem property) (Parameters property)

likelihood_prms (InverseProblem property) (Parameters property) loglike() (ScipySolver method) LogNormal (class in probeye.definition.distribution) logprior() (ScipySolver method)

M

MaxLikelihoodSolver (class in probeye.inference.scipy.solver) MaxPosteriorSolver (class in probeye.inference.scipy.solver) model_prms (InverseProblem property) (Parameters property) module probeye.definition.distribution probeye.definition.forward_model probeye.definition.inverse_problem probeye.definition.likelihood_model probeye.definition.parameter probeye.definition.prior probeye.definition.sensor probeye.inference.dynesty.solver probeye.inference.emcee.solver probeye.inference.scipy.solver probeye.inference.solver probeye.postprocessing.sampling_plots

MultivariateNormal (class in probeye.definition.distribution)

N

n_constant_prms (InverseProblem property) (Parameters property) n_latent_prms (InverseProblem property) (Parameters property) n_latent_prms_dim (InverseProblem property) (Parameters property) n_likelihood_prms (InverseProblem property) (Parameters property)

n_model_prms (InverseProblem property) (Parameters property) n_output_sensors (ForwardModelBase property) n_prior_prms (InverseProblem property) (Parameters property) n_prms (InverseProblem property) (Parameters property) Normal (class in probeye.definition.distribution)

O

order (Sensor property) output_sensor (ForwardModelBase property)

output_sensor_names (ForwardModelBase property) overview() (Parameters method)

P

parameter_explanations() (Parameters method) ParameterProperties (class in probeye.definition.parameter) Parameters (class in probeye.definition.parameter) plot() (ProbabilityDistribution method) prepare_experimental_inputs_and_outputs() (ForwardModelBase method) prior (ParameterProperties property) prior_prms (InverseProblem property) (Parameters property) prior_transform() (DynestySolver method) prior_type (PriorBase property) PriorBase (class in probeye.definition.prior) priors (InverseProblem property) prms (InverseProblem property) (Parameters property) ProbabilityDistribution (class in probeye.definition.distribution) probeye.definition.distribution module probeye.definition.forward_model module

probeye.definition.inverse_problem module probeye.definition.likelihood_model module probeye.definition.parameter module probeye.definition.prior module probeye.definition.sensor module probeye.inference.dynesty.solver module probeye.inference.emcee.solver module probeye.inference.scipy.solver module probeye.inference.solver module probeye.postprocessing.sampling_plots module

R

remove_parameter() (InverseProblem method) response() (ForwardModelBase method) role (ParameterProperties property)

run() (DynestySolver method) (EmceeSolver method) (MaxLikelihoodSolver method) (MaxPosteriorSolver method)

S

sample_from_prior() (ScipySolver method) SampleBased (class in probeye.definition.distribution) ScalarInterval (class in probeye.definition.parameter) ScipySolver (class in probeye.inference.scipy.solver)

Sensor (class in probeye.definition.sensor) sensor_names (ForwardModelBase property) Solver (class in probeye.inference.solver) summarize_point_estimate_results() (ScipySolver method)

T

theta_explanation() (InverseProblem method) translate_domain_string() (ParameterProperties static method)

TruncNormal (class in probeye.definition.distribution) type (ParameterProperties property)

U

Uniform (class in probeye.definition.distribution)

Uninformative (class in probeye.definition.distribution)

V

value (ParameterProperties property)

value_dict (Parameters property)

W

Weibull (class in probeye.definition.distribution)

X

x (Sensor property)

Y

y (Sensor property)

Z

z (Sensor property)