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Crate stochastic_rs_stats

Crate stochastic_rs_stats 

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§stochastic-rs-stats

Statistical estimators for stochastic processes.

Re-exports§

pub use stochastic_rs_distributions as distributions;
pub use stochastic_rs_stochastic as stochastic;

Modules§

cir
Cir
double_exp
Double Exp
econometrics
Econometrics
fd
Fd
filtering
Bayesian Filtering & Sampling
fou_estimator
fOU Estimator
fukasawa_hurst
Fukasawa adapted Whittle estimator for the Hurst parameter.
gaussian_kde
Gaussian Kde
heston_mle
Mle
heston_nml_cekf
Heston NMLE-CEKF
leverage
Leverage
mle
Maximum Likelihood Estimation for 1-D Diffusions
non_central_chi_squared
Non Central Chi Squared
normality
Normality tests
realized
Realized Volatility & Microstructure-Noise Estimators
simd_rng
SIMD-accelerated random number generation
spectral
Spectral analysis utilities (periodogram and FFT-based spectrum search).
tail_index
Tail Index
traits
Re-exports of upstream traits so crate::traits::Foo continues to resolve inside the stats sub-crate’s source files. Plus the local HypothesisTest trait that unifies hypothesis-test result types.

Macros§

py_distribution
py_process_1d