Index

A

apply() (superstats.simulation.augmentation.contamination.ContaminationProcess method) (superstats.simulation.augmentation.ContaminationProcess method) (superstats.simulation.augmentation.missing.MissingProcess method) (superstats.simulation.augmentation.MissingProcess method) (superstats.simulation.augmentation.random_choice_contamination.RandomChoiceContamination method) (superstats.simulation.augmentation.random_missing.RandomMissingProcess method) (superstats.simulation.augmentation.RandomChoiceContamination method) (superstats.simulation.augmentation.RandomMissingProcess method) (superstats.simulation.RandomMissingProcess method)

approximator (superstats.workflow.Workflow property) (superstats.workflow.workflow.Workflow property) AutoRegression (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.auto_regression)

B

build() (superstats.transition.stochastic.kernel.CompositeKernel method) (superstats.transition.stochastic.kernel.Kernel method) (superstats.transition.stochastic.kernel.kernel.CompositeKernel method) (superstats.transition.stochastic.kernel.kernel.Kernel method) (superstats.transition.stochastic.kernel.linear.LinearKernel method) (superstats.transition.stochastic.kernel.LinearKernel method) (superstats.transition.stochastic.kernel.periodic.PeriodicKernel method) (superstats.transition.stochastic.kernel.PeriodicKernel method) (superstats.transition.stochastic.kernel.rbf.RBFKernel method) (superstats.transition.stochastic.kernel.RBFKernel method)

build_abs_dist_mat() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.periodic) build_sq_dist_mat() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.rbf)

C

calibration_error_per_step() (in module superstats.diagnostics) (in module superstats.diagnostics.metrics) call() (superstats.networks.recurrent.RecurrentNet method) (superstats.networks.RecurrentNet method) CompositeKernel (class in superstats.transition.stochastic.kernel) (class in superstats.transition.stochastic.kernel.kernel)

ContaminationProcess (class in superstats.simulation.augmentation) (class in superstats.simulation.augmentation.contamination) correlation_per_step() (in module superstats.diagnostics) (in module superstats.diagnostics.metrics)

D

DeterministicTransition (class in superstats.transition) (class in superstats.transition.deterministic) (class in superstats.transition.deterministic.deterministic_transition) df_to_dict() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

dtype (superstats.transition.deterministic.deterministic_transition.DeterministicTransition attribute) (superstats.transition.deterministic.DeterministicTransition attribute) (superstats.transition.DeterministicTransition attribute) (superstats.transition.stochastic.stochastic_transition.StochasticTransition attribute) (superstats.transition.stochastic.StochasticTransition attribute) (superstats.transition.StochasticTransition attribute)

E

expand_singletons_to_common_length() (in module superstats.networks.utils)

F

fit_offline() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

fit_online() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

G

GaussianProcess (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.gaussian_process) GenerativeModel (class in superstats.simulation) (class in superstats.simulation.generative_model) get_config() (superstats.networks.recurrent.RecurrentNet method) (superstats.networks.RecurrentNet method)

get_fixed_params() (superstats.simulation.generative_model.GenerativeModel method) (superstats.simulation.GenerativeModel method) get_linear_kernel() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.linear) get_periodic_kernel() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.periodic) get_rbf_kernel() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.rbf)

H

history (superstats.workflow.Workflow property) (superstats.workflow.workflow.Workflow property)

J

JointPrior (class in superstats.prior) (class in superstats.prior.joint_prior)

Jump (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.jump)

K

Kernel (class in superstats.transition.stochastic.kernel) (class in superstats.transition.stochastic.kernel.kernel)

L

LevyFlight (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.levy_flight) Linear (class in superstats.transition) (class in superstats.transition.deterministic) (class in superstats.transition.deterministic.linear)

LinearKernel (class in superstats.transition.stochastic.kernel) (class in superstats.transition.stochastic.kernel.linear) local_hyperparams() (superstats.transition.stochastic.kernel.Kernel method) (superstats.transition.stochastic.kernel.kernel.Kernel method)

M

MissingProcess (class in superstats.simulation.augmentation) (class in superstats.simulation.augmentation.missing) Mixture (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.mixture) module superstats.defaults superstats.defaults.augmentation_defaults superstats.defaults.color_palette superstats.defaults.network_defaults superstats.defaults.transition_defaults superstats.diagnostics superstats.diagnostics.metrics superstats.diagnostics.plots superstats.diagnostics.plots.posterior_resimulation superstats.diagnostics.plots.posterior_samples superstats.diagnostics.plots.prior_push_forward superstats.diagnostics.plots.prior_samples superstats.diagnostics.plots.time_invariant_verification superstats.diagnostics.plots.time_varying_verification superstats.networks superstats.networks.recurrent superstats.networks.utils superstats.prior superstats.prior.joint_prior superstats.prior.prior superstats.simulation superstats.simulation.augmentation superstats.simulation.augmentation.contamination superstats.simulation.augmentation.missing superstats.simulation.augmentation.random_choice_contamination superstats.simulation.augmentation.random_missing superstats.simulation.cognitive superstats.simulation.cognitive.cdm superstats.simulation.cognitive.ddm superstats.simulation.cognitive.rdm superstats.simulation.generative_model superstats.transition superstats.transition.deterministic superstats.transition.deterministic.deterministic_transition superstats.transition.deterministic.linear superstats.transition.deterministic.polynomial superstats.transition.stochastic superstats.transition.stochastic.auto_regression superstats.transition.stochastic.gaussian_process superstats.transition.stochastic.jump superstats.transition.stochastic.kernel superstats.transition.stochastic.kernel.kernel superstats.transition.stochastic.kernel.linear superstats.transition.stochastic.kernel.periodic superstats.transition.stochastic.kernel.rbf superstats.transition.stochastic.kernel.registry superstats.transition.stochastic.levy_flight superstats.transition.stochastic.mixture superstats.transition.stochastic.ornstein_uhlenbeck superstats.transition.stochastic.random_walk superstats.transition.stochastic.stochastic_transition superstats.utils superstats.utils.dispatch superstats.utils.logging superstats.utils.plotting superstats.utils.transformations superstats.workflow superstats.workflow.workflow

N

nrmse_per_step() (in module superstats.diagnostics) (in module superstats.diagnostics.metrics)

O

OrnsteinUhlenbeck (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.ornstein_uhlenbeck)

P

PeriodicKernel (class in superstats.transition.stochastic.kernel) (class in superstats.transition.stochastic.kernel.periodic) plot_calibration() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.time_invariant_verification) plot_history() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method) plot_joint_prior() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.prior_samples) (superstats.prior.joint_prior.JointPrior method) (superstats.prior.JointPrior method) plot_posterior_resimulation() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.posterior_resimulation) plot_push_forward() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.prior_push_forward) (superstats.simulation.generative_model.GenerativeModel method) (superstats.simulation.GenerativeModel method) plot_recovery() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.time_invariant_verification) plot_time_invariant_posterior() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.posterior_samples) (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

plot_time_invariant_prior() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.prior_samples) (superstats.prior.joint_prior.JointPrior method) (superstats.prior.JointPrior method) plot_time_varying_posterior() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.posterior_samples) (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method) plot_time_varying_prior() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.prior_samples) (superstats.prior.joint_prior.JointPrior method) (superstats.prior.JointPrior method) plot_time_varying_verification() (in module superstats.diagnostics) (in module superstats.diagnostics.plots) (in module superstats.diagnostics.plots.time_varying_verification) Polynomial (class in superstats.transition) (class in superstats.transition.deterministic) (class in superstats.transition.deterministic.polynomial) posterior_contraction_per_step() (in module superstats.diagnostics) (in module superstats.diagnostics.metrics) prepare_plot_data() (in module superstats.utils) (in module superstats.utils.plotting) Prior (class in superstats.prior) (class in superstats.prior.prior)

R

RandomChoiceContamination (class in superstats.simulation.augmentation) (class in superstats.simulation.augmentation.random_choice_contamination) RandomMissingProcess (class in superstats.simulation) (class in superstats.simulation.augmentation) (class in superstats.simulation.augmentation.random_missing) RandomWalk (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.random_walk)

RBFKernel (class in superstats.transition.stochastic.kernel) (class in superstats.transition.stochastic.kernel.rbf) RecurrentNet (class in superstats.networks) (class in superstats.networks.recurrent) resimulate_posterior() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method) resolve_kernel() (in module superstats.transition.stochastic.kernel) (in module superstats.transition.stochastic.kernel.registry)

S

sample() (superstats.prior.joint_prior.JointPrior method) (superstats.prior.JointPrior method) (superstats.prior.Prior method) (superstats.prior.prior.Prior method) (superstats.simulation.generative_model.GenerativeModel method) (superstats.simulation.GenerativeModel method) (superstats.transition.AutoRegression method) (superstats.transition.deterministic.deterministic_transition.DeterministicTransition method) (superstats.transition.deterministic.DeterministicTransition method) (superstats.transition.deterministic.Linear method) (superstats.transition.deterministic.linear.Linear method) (superstats.transition.deterministic.Polynomial method) (superstats.transition.deterministic.polynomial.Polynomial method) (superstats.transition.DeterministicTransition method) (superstats.transition.GaussianProcess method) (superstats.transition.Jump method) (superstats.transition.LevyFlight method) (superstats.transition.Linear method) (superstats.transition.Mixture method) (superstats.transition.OrnsteinUhlenbeck method) (superstats.transition.Polynomial method) (superstats.transition.RandomWalk method) (superstats.transition.stochastic.auto_regression.AutoRegression method) (superstats.transition.stochastic.AutoRegression method) (superstats.transition.stochastic.gaussian_process.GaussianProcess method) (superstats.transition.stochastic.GaussianProcess method) (superstats.transition.stochastic.Jump method) (superstats.transition.stochastic.jump.Jump method) (superstats.transition.stochastic.levy_flight.LevyFlight method) (superstats.transition.stochastic.LevyFlight method) (superstats.transition.stochastic.Mixture method) (superstats.transition.stochastic.mixture.Mixture method) (superstats.transition.stochastic.ornstein_uhlenbeck.OrnsteinUhlenbeck method) (superstats.transition.stochastic.OrnsteinUhlenbeck method) (superstats.transition.stochastic.random_walk.RandomWalk method) (superstats.transition.stochastic.RandomWalk method) (superstats.transition.stochastic.stochastic_transition.StochasticTransition method) (superstats.transition.stochastic.StochasticTransition method) (superstats.transition.StochasticTransition method) (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method) sample_cdm() (in module superstats.simulation) (in module superstats.simulation.cognitive) (in module superstats.simulation.cognitive.cdm) sample_ddm() (in module superstats.simulation) (in module superstats.simulation.cognitive) (in module superstats.simulation.cognitive.ddm) sample_from_parameters() (superstats.transition.deterministic.deterministic_transition.DeterministicTransition method) (superstats.transition.deterministic.DeterministicTransition method) (superstats.transition.deterministic.Linear method) (superstats.transition.deterministic.linear.Linear method) (superstats.transition.deterministic.Polynomial method) (superstats.transition.deterministic.polynomial.Polynomial method) (superstats.transition.DeterministicTransition method) (superstats.transition.Linear method) (superstats.transition.Polynomial method) sample_gaussian_process() (in module superstats.transition.stochastic.gaussian_process) sample_one_step() (superstats.transition.AutoRegression method) (superstats.transition.Jump method) (superstats.transition.LevyFlight method) (superstats.transition.OrnsteinUhlenbeck method) (superstats.transition.RandomWalk method) (superstats.transition.stochastic.auto_regression.AutoRegression method) (superstats.transition.stochastic.AutoRegression method) (superstats.transition.stochastic.Jump method) (superstats.transition.stochastic.jump.Jump method) (superstats.transition.stochastic.levy_flight.LevyFlight method) (superstats.transition.stochastic.LevyFlight method) (superstats.transition.stochastic.ornstein_uhlenbeck.OrnsteinUhlenbeck method) (superstats.transition.stochastic.OrnsteinUhlenbeck method) (superstats.transition.stochastic.random_walk.RandomWalk method) (superstats.transition.stochastic.RandomWalk method) sample_rdm() (in module superstats.simulation) (in module superstats.simulation.cognitive) (in module superstats.simulation.cognitive.rdm) scaled_sigmoid() (in module superstats.utils) (in module superstats.utils.transformations) simulate_from_parameters() (superstats.simulation.generative_model.GenerativeModel method) (superstats.simulation.GenerativeModel method) StochasticTransition (class in superstats.transition) (class in superstats.transition.stochastic) (class in superstats.transition.stochastic.stochastic_transition) superstats.defaults module superstats.defaults.augmentation_defaults module superstats.defaults.color_palette module superstats.defaults.network_defaults module superstats.defaults.transition_defaults module superstats.diagnostics module superstats.diagnostics.metrics module superstats.diagnostics.plots module superstats.diagnostics.plots.posterior_resimulation module

superstats.diagnostics.plots.posterior_samples module superstats.diagnostics.plots.prior_push_forward module superstats.diagnostics.plots.prior_samples module superstats.diagnostics.plots.time_invariant_verification module superstats.diagnostics.plots.time_varying_verification module superstats.networks module superstats.networks.recurrent module superstats.networks.utils module superstats.prior module superstats.prior.joint_prior module superstats.prior.prior module superstats.simulation module superstats.simulation.augmentation module superstats.simulation.augmentation.contamination module superstats.simulation.augmentation.missing module superstats.simulation.augmentation.random_choice_contamination module superstats.simulation.augmentation.random_missing module superstats.simulation.cognitive module superstats.simulation.cognitive.cdm module superstats.simulation.cognitive.ddm module superstats.simulation.cognitive.rdm module superstats.simulation.generative_model module superstats.transition module superstats.transition.deterministic module superstats.transition.deterministic.deterministic_transition module superstats.transition.deterministic.linear module superstats.transition.deterministic.polynomial module superstats.transition.stochastic module superstats.transition.stochastic.auto_regression module superstats.transition.stochastic.gaussian_process module superstats.transition.stochastic.jump module superstats.transition.stochastic.kernel module superstats.transition.stochastic.kernel.kernel module superstats.transition.stochastic.kernel.linear module superstats.transition.stochastic.kernel.periodic module superstats.transition.stochastic.kernel.rbf module superstats.transition.stochastic.kernel.registry module superstats.transition.stochastic.levy_flight module superstats.transition.stochastic.mixture module superstats.transition.stochastic.ornstein_uhlenbeck module superstats.transition.stochastic.random_walk module superstats.transition.stochastic.stochastic_transition module superstats.utils module superstats.utils.dispatch module superstats.utils.logging module superstats.utils.plotting module superstats.utils.transformations module superstats.workflow module superstats.workflow.workflow module

V

verify_time_invariant() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

verify_time_varying() (superstats.workflow.Workflow method) (superstats.workflow.workflow.Workflow method)

W

Workflow (class in superstats.workflow) (class in superstats.workflow.workflow)