Index

A

adapt_proposal_step (pysmc.SMC attribute) add() (pysmc.DataBase method)

allgather() (pysmc.ParticleApproximation method)

C

comm (pysmc.DistributedObject attribute) commit() (pysmc.DataBase method) (pysmc.SMC method) competence() (pysmc.LognormalRandomWalk static method) compute_all_means() (pysmc.ParticleApproximation method) compute_all_means_of_type() (pysmc.ParticleApproximation method) compute_all_statistics() (pysmc.ParticleApproximation method)

compute_all_variances() (pysmc.ParticleApproximation method) compute_all_variances_of_type() (pysmc.ParticleApproximation method) compute_mean_of_var() (pysmc.ParticleApproximation method) compute_variance_of_var() (pysmc.ParticleApproximation method) copy() (pysmc.ParticleApproximation method)

D

DataBase (class in pysmc) db (pysmc.MCMCWrapper attribute) (pysmc.SMC attribute) deterministics (pysmc.MCMCWrapper attribute)

DistributedObject (class in pysmc) draw_from_prior() (pysmc.MCMCWrapper method)

E

ess (pysmc.SMC attribute) ess_reduction (pysmc.SMC attribute)

ess_threshold (pysmc.SMC attribute)

F

filename (pysmc.DataBase attribute)

G

gamma (pysmc.DataBase attribute) (pysmc.SMC attribute) gamma_is_an_exponent (pysmc.SMC attribute) gamma_name (pysmc.DataBase attribute) (pysmc.SMC attribute) gamma_rv (pysmc.SMC attribute) gammas (pysmc.DataBase attribute)

get_mean_of_func() (pysmc.ParticleApproximation method) get_particle_approximation() (pysmc.SMC method) get_particle_approximation_of() (pysmc.ParticleApproximation method) get_state() (pysmc.MCMCWrapper method)

H

hastings_factor() (pysmc.LognormalRandomWalk method)

hist() (in module pysmc), [1]

I

initialize() (pysmc.SMC method)

K

kde() (in module pysmc)

L

load() (pysmc.DataBase static method) log_w (pysmc.ParticleApproximation attribute) (pysmc.SMC attribute)

LognormalRandomWalk (class in pysmc) logp (pysmc.MCMCWrapper attribute)

M

make_movie_from_db() (in module pysmc) mcmc_sampler (pysmc.MCMCWrapper attribute) (pysmc.SMC attribute) MCMCWrapper (class in pysmc) mean (pysmc.ParticleApproximation attribute)

move_to() (pysmc.SMC method) mpi (pysmc.DistributedObject attribute) multinomial_resample() (in module pysmc) my_num_particles (pysmc.ParticleApproximation attribute) (pysmc.SMC attribute)

N

nodes (pysmc.MCMCWrapper attribute) num_gammas (pysmc.DataBase attribute)

num_mcmc (pysmc.SMC attribute) num_particles (pysmc.ParticleApproximation attribute) (pysmc.SMC attribute)

P

particle_approximation (pysmc.DataBase attribute) particle_approximations (pysmc.DataBase attribute) ParticleApproximation (class in pysmc) particles (pysmc.ParticleApproximation attribute) (pysmc.SMC attribute) propose() (pysmc.LognormalRandomWalk method) pysmc (module) pysmc._db (module)

pysmc._mcmc_wrapper (module) pysmc._misc (module) pysmc._mpi (module) pysmc._particle_approximation (module) pysmc._plot (module) pysmc._smc (module) pysmc._step_methods (module)

R

rank (pysmc.DistributedObject attribute)

resample() (pysmc.ParticleApproximation method)

S

sample() (pysmc.MCMCWrapper method) set_state() (pysmc.MCMCWrapper method) size (pysmc.DistributedObject attribute)

SMC (class in pysmc) step_methods (pysmc.MCMCWrapper attribute) stochastics (pysmc.MCMCWrapper attribute)

T

total_num_mcmc (pysmc.SMC attribute)

try_to_array() (in module pysmc)

U

update_db (pysmc.SMC attribute)

use_mpi (pysmc.DistributedObject attribute)

V

variance (pysmc.ParticleApproximation attribute)

verbose (pysmc.SMC attribute)

W

weights (pysmc.ParticleApproximation attribute)

write_to_disk (pysmc.DataBase attribute)