Skip to content
logo
bayespecon
bayespecon._logdet.LogdetBounds
Initializing search
    pysal/bayespecon
    pysal/bayespecon
    • Home
    • Installation
      • Supported Models
      • Quickstart
      • Cross Sectional Models
      • Gibbs Sampler
      • Panel Models
      • Nonlinear Models
      • Nonlinear Panel Models
      • Flow Models
      • Panel Flow Models
      • Bayesian Spatial Diagnostics
      • Spatial Block Cross-Validation
      • Comparing bayespecon vs spreg
      • Recovering Parameters
      • Replicating Elhorst et al 2024
      • Log-Determinant Methods
      • Sampling Backends
      • API reference
        • Base Classes
        • Cross-Sectional Spatial Models
        • Panel Spatial Models (Fixed Effects)
        • Panel Spatial Models (Random Effects)
        • Dynamic Panel Spatial Models
        • Non-Linear Spatial Models
        • Panel Spatial Models (Tobit)
        • Flow Models
        • Bayesian Diagnostics
        • Data Generating Processes
        • Graph Utilities
        • Gibbs Samplers
        • Configuration
        • Internal Modules
          • Custom PyTensor Ops (bayespecon._ops)
          • Log-Determinant Methods (bayespecon._logdet)
            • Method resolution and bound handling
              • bayespecon._logdet.LogDetMethod
              • bayespecon._logdet.LogdetBounds
                • C bayespecon._logdet.LogdetBounds
                  • M __init__
                  • A method
                  • A rho_max
                  • A rho_min
                  • A source
              • bayespecon._logdet.resolve_logdet_method
              • bayespecon._logdet.resolve_logdet_bounds
            • Factories
            • PyTensor kernels
            • JAX kernels
            • Grid / polynomial primitives
            • Flow log-determinants
            • Stochastic trace estimation
      • References
      • GitHub
      • Changelog
    • C bayespecon._logdet.LogdetBounds
      • M __init__
      • A method
      • A rho_max
      • A rho_min
      • A source

    bayespecon._logdet.LogdetBounds¶

    class bayespecon._logdet.LogdetBounds(method, rho_min, rho_max, source)[source]¶

    Resolved logdet method and rho interval used for approximation.

    __init__(method, rho_min, rho_max, source)[source]¶

    Methods

    __init__(method, rho_min, rho_max, source)

    Attributes

    method

    rho_min

    rho_max

    source

    method[source]¶
    rho_max[source]¶
    rho_min[source]¶
    source[source]¶
    © Copyright 2018-, pysal developers.
    Created using Sphinx 8.2.3. and Sphinx-Immaterial