# All Lessons

Lessons are organized here by their primary classification. Many lessons could fall under multiple headings below.

# Methodology

- Bayesian Updating for Combining Conditional Distributions
- An Application of Bayes Theorem to Geostatistical Mapping (see source code on GitHub)
- Combination of Multivariate Gaussian Distributions through Error Ellipses
- The Nugget Effect
- A Simulation Approach to Calibrate Outlier Capping
- The Multivariate Spatial Bootstrap

# Data Management

# Data Transformation

# Representative Distributions

# Multivariate Statistics

- Multidimensional Scaling (see source code on GitHub)
- Projection Pursuit Multivariate Transform
- Principal Component Analysis
- Aggregating Variables into a Super Secondary Variable

# Variograms

- Transforming a Variogram of Normal Scores to Original Units
- The Pairwise Relative Variogram
- Variogram Calculation for Tabular Deposits
- Experimental Variogram Tolerance Parameters

# Estimation

- Collocated Cokriging (see source code on GitHub)
- Choosing the Discretization Level for Block Property Estimation
- Introduction to Choosing a Kriging Plan
- An Overview of Multiple Indicator Kriging
- Signed Distance Function Modeling with Multiple Categories

# Categorical Simulation

# Continuous Simulation

# Post Processing

# Mining Applications

- Change of Support and the Volume Variance Relation
- Checking Continuous Variable Realizations - Mining
- Calculation of High Resolution Data Spacing Models