Module statistical_advanced 

Advanced statistical interpolation methods

This module implements sophisticated statistical interpolation techniques including:

• Variational Sparse Gaussian Processes
• Statistical Spline Inference with confidence bands
• Advanced Bootstrap methods (block, residual, wild)
• Model diagnostics and goodness-of-fit testing
• Multi-output Gaussian Processes

Structs

AdvancedBootstrap

Advanced bootstrap methods for interpolation

BcaBootstrap

Bias-Corrected and Accelerated (BCa) Bootstrap

KernelParameters

Kernel parameters for Gaussian processes

SavitzkyGolayFilter

Savitzky-Golay filter for statistical smoothing and interpolation

StatisticalSpline

Statistical spline with confidence bands

VariationalSparseGP

Variational Sparse Gaussian Process using inducing points

Enums

BootstrapMethod

Types of bootstrap methods

KernelType

Types of kernels supported