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Localtab Group


Localtab
activetrue
titleModeling by Brainstorming

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  • Expert-based Modeling via Brainstorming
  • Why Expert-based Modeling?
  • Value of Expert-based Modeling
  • Structural modeling: Bottom-up and Top-down approaches
  • Parametric modeling
  • Cognitive biases
  • BEKEE: Bayesia Expert Knowledge Elicitation Environment
    • Interactive
    • Batch
    • Segmentation of the Experts
    • Creation of Bayesian Belief Networks based on the elicited probabilities
    • Analysis of the Expert Assessments
    • Parameter Sensitivity Analysis
  • Experimentation of an Interactive session for probability elicitation


Localtab
titleInfluence Diagrams

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  • Utility Nodes
  • Decision Nodes
  • Expected Utility
  • Automatic Policy Optimization
  • Example: Oil Wildcatter
  • Exercices


Localtab
titleFunction Nodes


  • Motivations
  • Inference Functions
  • Formatting
  • Function Nodes as Parents
  • Exercise


Localtab
titleTemporal Dimension

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  • Hidden Markov Chain
  • Unfolded Temporal Bayesian Networks
  • Dynamic Bayesian Networks
  • Temporal simulations (scenarios, temporal conditional dependencies, temporal monitoring)
  • Exact and approximate inference
  • Unfolding Dynamic Bayesian Networks
  • Exercise: Maintenance of a Fluid Distribution System
  • Network Temporalization
  • Temporal Forecast
  • Exercise: Box & Jenkins


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Localtab Group


Localtab
activetrue
titleBayesian Updating

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


Localtab
titleDiscretization and Aggregation

  • Context
  • 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 ApproximationKMeans
      • 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


Localtab
titleMissing Values


  • Context
  • Types of Missingness
  • Types of Methods
    • Static
      • Filtering
      • A priori Replacement
      • Entropy Based and Standard Static Imputation
    • Dynamic
      • Dynamic Imputation
      • Structural Expectation-Maximization
      • Entropy Based Dynamic Imputation
      • Approximate Dynamic Imputation with Static Imputation


Localtab
titleFiltered/Censored Values


  • Context
  • Classical Solutions
  • BayesiaLab’s Solution


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