Wise Lab Wiki
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  • Computational modelling
    • Behavioural Modelling Package
      • 1. Overview
    • Guide
      • 1. Building basic models
      • 2. Modelling multiple participants
      • 3. MCMC sampling
      • 4. Hierarchical models
      • 5. Visualising MCMC results
      • 6. Simulation based inference
    • Tutorial
      • 1. Overview
      • 2. Implementing an update function
      • 3. Selecting actions
      • 4. Updating value across trials
      • 5. Running the model for multiple subjects
      • 6. Model fitting using MCMC
    • General best practices
  • Online experiments
    • Running online experiments locally
  • Computing
    • High performance computing
  • General coding
    • Common coding mistakes
    • Installing Python
    • Using Git and GitHub
  • Project organisation
    • Project organisation
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Computational modelling

1. Building Basic Models →
1. Overview →
1. Overview →
2. Implementing an Update Function →
2. Modelling Multiple Participants →
3. MCMC Sampling →
3. Selecting Actions →
4. Hierarchical Models →
4. Updating Value Across Trials →
5. Running the Model for Multiple Subjects →
5. Visualising MCMC Results →
6. Model Fitting Using MCMC →
6. Simulation Based Inference →
General Best Practices →
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