Hello GWKokab

• Generating Mock Posterior Estimates
  • Introduction
  • Model Specification
  • Measurement Uncertainties
  • Mock Posterior Estimates
  • References
• Hierarchical Bayesian Inference (Discrete Method)
  • Introduction
  • Priors
  • MCMC Sampler Configurations
    • NumPyro
    • FlowMC
  • Analysis of Results
    • FlowMC Results
    • NumPyro Results
• Hierarchical Bayesian Inference (Continuous Method)
  • Introduction
  • MCMC Sampler Configurations
  • Analysis of Results
• Expected Number of Detections and Sensitivity Estimation
  • Probability of Detection
  • Sensitive Spacetime Volume
  • Injection Based Method
  • Custom Estimator
• Training a Neural Network to Estimate Sensitivity