Index

A

anisotropic_parameters_initial_guess() (in module gpmp.kernel) anisotropic_parameters_initial_guess_zero_mean() (in module gpmp.kernel)

array() (in module gpmp.num) asarray() (in module gpmp.num) autoselect_parameters() (in module gpmp.kernel)

B

BatchDifferentiableSelectionCriterion (class in gpmp.num) borehole() (in module gpmp.misc.testfunctions)

bounds (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute) braninhoo() (in module gpmp.misc.testfunctions)

C

cdf() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) cho_factor() (in module gpmp.num) cho_solve() (in module gpmp.num) choice() (in module gpmp.num) cholesky_inv() (in module gpmp.num) cholesky_solve() (in module gpmp.num) compute_logrho_min_from_xi() (in module gpmp.kernel)

compute_performance() (in module gpmp.modeldiagnosis) conditional_sample_paths() (gpmp.core.Model method) conditional_sample_paths_parameterized_mean() (gpmp.core.Model method) cov() (in module gpmp.num) covariance (gpmp.core.Model attribute) covparam (gpmp.core.Model attribute) crosssections() (in module gpmp.plot)

D

describe_array() (in module gpmp.modeldiagnosis) detpep8d() (in module gpmp.misc.testfunctions)

diag() (in module gpmp.modeldiagnosis) DifferentiableSelectionCriterion (class in gpmp.num) discrepancy() (in module gpmp.misc.designs)

E

empirical_bounds_factory() (in module gpmp.kernel)

exp() (in module gpmp.num) eye() (in module gpmp.num)

F

f() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) fast_univariate_stats() (in module gpmp.modeldiagnosis) Figure (class in gpmp.plot) filldist_approx() (in module gpmp.misc.designs)

fisher_information() (gpmp.core.Model method) fisher_information_cpd() (gpmp.core.Model method) fisher_information_torch() (gpmp.core.Model method) full() (in module gpmp.num)

G

get_dtype() (in module gpmp.num) get_log_target_values() (in module gpmp.mcmc) gpmp.core module gpmp.misc.designs module gpmp.misc.testfunctions module

gpmp.modeldiagnosis module gpmp.num module gpmp.parameter module gpmp.plot module grad() (in module gpmp.num)

H

hartmann4() (in module gpmp.misc.testfunctions)

hartmann6() (in module gpmp.misc.testfunctions)

I

ishigami() (in module gpmp.misc.testfunctions)

K

k_inverses() (gpmp.core.Model method)

kriging_predictor() (gpmp.core.Model method) kriging_predictor_with_zero_mean() (gpmp.core.Model method)

L

ldrandunif() (in module gpmp.misc.designs) log() (in module gpmp.num) log_indicator_density() (in module gpmp.mcmc)

log_pdf (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute) log_prior_gaussian_logsigma2() (in module gpmp.kernel) log_prior_logrho_barrier_linear() (in module gpmp.kernel) loo() (gpmp.core.Model method)

M

make_anisotropic_param() (in module gpmp.parameter) make_selection_criterion_with_gradient() (in module gpmp.kernel) make_single_param_criterion_function() (in module gpmp.modeldiagnosis) matern32_kernel() (in module gpmp.kernel) maternp_covariance() (in module gpmp.kernel) maternp_kernel() (in module gpmp.kernel) maxdist() (in module gpmp.misc.designs) maximinldlhs() (in module gpmp.misc.designs) maximinlhs() (in module gpmp.misc.designs) mean (gpmp.core.Model attribute) mean() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (in module gpmp.num) meanparam (gpmp.core.Model attribute) meantype (gpmp.core.Model attribute)

MetropolisHastings (class in gpmp.mcmc) MHOptions (class in gpmp.mcmc) mindist() (in module gpmp.misc.designs) Model (class in gpmp.core) model_diagnosis_disp() (in module gpmp.modeldiagnosis) modeldiagnosis_init() (in module gpmp.modeldiagnosis) module gpmp.core gpmp.misc.designs gpmp.misc.testfunctions gpmp.modeldiagnosis gpmp.num gpmp.parameter gpmp.plot

N

negative_log_likelihood() (gpmp.core.Model method) (in module gpmp.kernel) negative_log_likelihood_zero_mean() (gpmp.core.Model method) (in module gpmp.kernel) negative_log_restricted_likelihood() (gpmp.core.Model method) (in module gpmp.kernel)

neglog_f_logrho() (in module gpmp.kernel) norm_k_sqrd() (gpmp.core.Model method) norm_k_sqrd_with_zero_mean() (gpmp.core.Model method) Normalization (class in gpmp.parameter) nuts_sample() (in module gpmp.mcmc) nuts_transition() (in module gpmp.mcmc) NUTSOptions (class in gpmp.mcmc)

O

ones() (in module gpmp.num)

P

ParticlesSetConfig (class in gpmp.mcmc) pdf() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) perf() (in module gpmp.modeldiagnosis) permutation() (in module gpmp.num) plot_loo() (in module gpmp.plot)

plot_nuts_diagnostics() (in module gpmp.mcmc) plotgp() (gpmp.plot.Figure method) predict() (gpmp.core.Model method) pretty_print_dictionary() (in module gpmp.modeldiagnosis) pretty_print_dictionnary() (in module gpmp.modeldiagnosis)

Q

quantile() (gpmp.modeldiagnosis.Unnormalized1DDistribution method)

R

rand() (in module gpmp.num) randn() (in module gpmp.num) randunif() (in module gpmp.misc.designs)

regulargrid() (in module gpmp.misc.designs) run_smc_sampling() (in module gpmp.mcmc) run_subset_simulation() (in module gpmp.mcmc)

S

sample_from_selection_criterion_mh() (in module gpmp.mcmc) sample_from_selection_criterion_nuts() (in module gpmp.mcmc) sample_from_selection_criterion_smc() (in module gpmp.mcmc) sample_multivariate_normal_with_jitter() (in module gpmp.mcmc) sample_paths() (gpmp.core.Model method) scale() (in module gpmp.misc.designs) scaled_distance() (in module gpmp.num) scaled_distance_elementwise() (in module gpmp.num) select_parameters_with_criterion() (in module gpmp.kernel) select_parameters_with_remap() (in module gpmp.kernel) select_parameters_with_remap_gaussian_logsigma2() (in module gpmp.kernel)

select_parameters_with_remap_gaussian_logsigma2_and_logrho_prior() (in module gpmp.kernel) select_parameters_with_reml() (in module gpmp.kernel) selection_criterion_statistics() (in module gpmp.modeldiagnosis) selection_criterion_statistics_fast() (in module gpmp.modeldiagnosis) set_seed() (in module gpmp.num) sigma_rho_from_covparam() (in module gpmp.modeldiagnosis) SMCConfig (class in gpmp.mcmc) solve() (in module gpmp.num) solve_triangular() (in module gpmp.num) sqrt() (in module gpmp.num) std() (in module gpmp.num) sum() (in module gpmp.num)

T

to_np() (in module gpmp.num)

to_scalar() (in module gpmp.num) twobumps() (in module gpmp.misc.testfunctions)

U

Unnormalized1DDistribution (class in gpmp.modeldiagnosis) update_parameters_with_criterion() (in module gpmp.kernel) update_parameters_with_remap() (in module gpmp.kernel)

update_parameters_with_remap_gaussian_logsigma2() (in module gpmp.kernel) update_parameters_with_remap_gaussian_logsigma2_and_logrho_prior() (in module gpmp.kernel) update_parameters_with_reml() (in module gpmp.kernel)

V

value_and_grad() (in module gpmp.num)

var() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (in module gpmp.num)

W

wave() (in module gpmp.misc.testfunctions)

Z

Z (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute)

zeros() (in module gpmp.num)