Class ConditionalKDE.ConditionalResult2D

java.lang.Object
edu.cmu.tetrad.util.ConditionalKDE.ConditionalResult2D
Enclosing class:
ConditionalKDE
public static class ConditionalKDE.ConditionalResult2D extends Object
Represents the result of a 2D conditional density estimation. This class encapsulates the data required for evaluating and analyzing the conditional density within a defined grid of two variables.

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    final double
    bandwidth1
    The bandwidths used in the density estimation in the first and second dimensions.
    final double
    bandwidth2
    The bandwidths used in the density estimation in the first and second dimensions.
    final double[]
    condTargets
    The conditional targets used in the density estimation.
    final double[][]
    density
    The density values at the specified grid points.
    final double[]
    grid1
    The grid points used in the density estimation in the first dimension.
    final double[]
    grid2
    The grid points used in the density estimation in the second dimension.
    final double[]
    weights
    The weights associated with each data point.

  • Method Summary

    Modifier and Type
    Method
    Description
    double[]
    marginalY1()
    Computes the marginal probability density for the first dimension (Y1) by integrating the joint density along the second dimension (Y2).
    double[]
    marginalY2()
    Computes the marginal probability density for the second dimension (Y2) by integrating the joint density along the first dimension (Y1).

    Methods inherited from class Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Field Details

    • grid1

      public final double[] grid1
      The grid points used in the density estimation in the first dimension.

    • grid2

      public final double[] grid2
      The grid points used in the density estimation in the second dimension.

    • density

      public final double[][] density
      The density values at the specified grid points.

    • weights

      public final double[] weights
      The weights associated with each data point.

    • condTargets

      public final double[] condTargets
      The conditional targets used in the density estimation.

    • bandwidth1

      public final double bandwidth1
      The bandwidths used in the density estimation in the first and second dimensions.

    • bandwidth2

      public final double bandwidth2
      The bandwidths used in the density estimation in the first and second dimensions.

  • Method Details

    • marginalY1

      public double[] marginalY1()
      Computes the marginal probability density for the first dimension (Y1) by integrating the joint density along the second dimension (Y2).
      Returns:
      An array representing the marginal density for the first dimension.

    • marginalY2

      public double[] marginalY2()
      Computes the marginal probability density for the second dimension (Y2) by integrating the joint density along the first dimension (Y1).
      Returns:
      An array representing the marginal density for the second dimension.