Mathematical Background

• Kriging models
• Kriging steps
• Trend functions in Kriging models
• The tensor product kernel
• Parameters
• Trend estimation
• Prediction and simulation
• Maximum likelihood
• Leave-one-out
• Bayesian marginal analysis
• Update model objects and simulations

Warping Strategies

• Warping Gallery
• none — Identity warping
• affine — Affine warping
• boxcox — Box–Cox warping
• kumaraswamy — Kumaraswamy warping
• knots — Piecewise-linear monotone warping
• neural_mono — Monotone neural network warping
• mlp — Per-variable MLP warping
• categorical — Categorical embedding warping
• ordinal — Ordinal warping

Noise Strategies

• Noise Strategies
• Noise-free (exact interpolation)
• Nugget (homogeneous noise)
• Heteroskedastic noise (known per-observation variance)