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Localtab Group


Localtab
activetrue
titleBayesian Updating


  • Unrolled Networks
  • Compact Networks
    • Hyperparameters
    • Conditional dependencies
  • Exercise: Bayesian Updating for Equine Anti-Doping


Localtab
titleDiscretization and Aggregation

  • Impact of Discretization
  • Requirements for a good discretization
  • Pre and Post Discretization
  • Discretization viewed as the creation of Latent variables
  • Discretization Methods
    • Manual by Expertise
    • Univariate
      • Equal Frequency
      • (Normalized) Equal Distance
      • Density Approximation
      • K-Means
      • R2-GenOpt
      • R2-GenOpt*
    • Bi-Variate
      • Tree
      • Perturbed Tree
    • Multi-Variate
      • Supervised with Random Forest
      • Unsupervised with Random Forest
      • R2-GenOpt
      • LogLoss-GenOpt
  • Exercise
  • Aggregation Methods for Symbolic variables
    • Manual by Expertise
    • Semi-Automatic
    • Bi-Variate with Tree
  • Exercise


titleCensored Values
Localtab
titleMissing Values


  • Context
  • Types of Missingness: Missing Completely at Random (MCAR), Missing at Random (MAR), Not Missing at Random (NMAR), Filtered/censored/skipped
  • Types of Methodsmethods
    • Static
      • Filtering
      • A priori Replacement
      • Entropy Based and Standard Static Imputation
    • Dynamic
      • Dynamic Imputation
      • Entropy Based Dynamic Imputation
      • Structural Expectation-Maximization
      • Entropy Based Dynamic Imputation
      • Approximate Dynamic Imputation with Static Imputation

Localtab
  • Missing values imputation (Standard, Entropy-based, Maximum Probable Explanation)

  • Exercise

  • Filtered/

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  • Context
  • Classical Solutions
  • BayesiaLab’s Solution
  • censored/skipped values

  • Example: Survey analysis


Day 3

Localtab Group


Localtab
activetrue
titleVariable Synthesis

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  • Context
  • Manual Synthesis
  • Binarization
  • Clustering
    • KMeans
    • Bayesian Clustering
    • Hierarchical Bayesian Clustering
  • Exercises


Localtab
titleFine Tuning

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Context

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  • Minimum Description Length (MDL) Score
  • Parameter Estimation with Trees
  • Structural Coefficient
  • Global
  • Local
  • Virtual Number of States
  • Stratification
  • Smooth Probability Estimation
  • Exercise: CarStarts


Localtab
titleAnalysis


  • Credible/Confidence Interval Analysis
  • Evidence Analysis
    • Most Probable Explanation
    • Joint Probability of Evidence
    • Log-Loss
    • Overall Consistency/Conflict Measure
    • Local Consistency
    • Information Gain
    • Bayes Factor
  • Performance Analysis
    • Supervised
    • Unsupervised
      • Compression
      • Multi-Target
      • Outlier Detection
  • Path Analysis
  • Exercises


Localtab
titleOptimization

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  • ContextGenetic algorithm
  • Objective Function
    • States/Mean
    • Function value
    • Maximization/Minimization
    • Target Value
    • Resources
    • Joint Probability/Support
  • Search Methods
  • Genetic Algorithm Parameters
    • Hard Evidence
    • Numerical Evidence
    • Direct Effects
  • Exercise: Marketing Mix Optimization


Localtab
titleContributions

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  • Context
  • Direct Effects
  • Type I Contribution
  • Type II Contribution
  • Base Mean
  • Normalization
  • Stacked Curves
  • Synergies


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