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arch.bootstrap.MovingBlockBootstrap.set_state
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    • Univariate Volatility Models
    • Bootstrapping
      • Examples
      • Confidence Interval Construction
      • Parameter Covariance Estimation
      • Low-level Interface
      • Semiparametric Bootstraps
      • Parametric Bootstraps
      • Independent, Identical Distributed Data (i.i.d.)
      • Independent Samples
      • Bootstraps for Time-series Data
        • arch.bootstrap.StationaryBootstrap
        • arch.bootstrap.CircularBlockBootstrap
        • arch.bootstrap.MovingBlockBootstrap
          • C arch.bootstrap.MovingBlockBootstrap
            • arch.bootstrap.MovingBlockBootstrap.apply
            • arch.bootstrap.MovingBlockBootstrap.bootstrap
            • arch.bootstrap.MovingBlockBootstrap.clone
            • arch.bootstrap.MovingBlockBootstrap.conf_int
            • arch.bootstrap.MovingBlockBootstrap.cov
            • arch.bootstrap.MovingBlockBootstrap.get_state
            • arch.bootstrap.MovingBlockBootstrap.reset
            • arch.bootstrap.MovingBlockBootstrap.seed
            • arch.bootstrap.MovingBlockBootstrap.set_state
              • M MovingBlockBootstrap.set_state
                • Parameters
                  • p state
            • arch.bootstrap.MovingBlockBootstrap.update_indices
            • arch.bootstrap.MovingBlockBootstrap.var
            • arch.bootstrap.MovingBlockBootstrap.generator
            • arch.bootstrap.MovingBlockBootstrap.index
            • arch.bootstrap.MovingBlockBootstrap.random_state
            • arch.bootstrap.MovingBlockBootstrap.state
        • arch.bootstrap.optimal_block_length
      • Background and References
    • Multiple Comparison Problems
    • Unit Root Testing
    • Cointegration Analysis
    • Long-run Covariance Estimation
    • API Reference
    • Common Type Definitions
    • Change Log
    • M MovingBlockBootstrap.set_state
      • Parameters
        • p state

    arch.bootstrap.MovingBlockBootstrap.set_state¶

    MovingBlockBootstrap.set_state(state: tuple[str, ndarray[tuple[int, ...], dtype[uint32]], int, int, float] | dict[str, Any]) → None¶

    Sets the state of the bootstrap’s random number generator

    Parameters:¶
    state: tuple[str, ndarray[tuple[int, ...], dtype[uint32]], int, int, float] | dict[str, Any]¶

    Dictionary or tuple containing the state.

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