Naive Density Estimator Quiz
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Questions and Answers

What is the main characteristic of the Naive estimator compared to the Histogram estimator?

  • It assumes a linear relationship between variables
  • It does not use the concept of origin (correct)
  • It ignores neighboring training samples
  • It uses larger bin width

    • What does the Naive density estimator function depend on?

  • The maximum value in the training set
  • The number of bins used
  • The range of the sample
  • The t=1 neighboring training samples (correct)

    • How does the Naive density estimator function involve the density contribution around a sample?

  • Values exactly at the sample position
  • Values at a fixed percentage of the sample range
  • Values in the range of h/2 to the left and right of the sample (correct)
  • Values within a fixed distance from the sample

    • What is the purpose of using the naive_pdf function in the provided code?

    <p>To calculate the Naive density estimator for a given data point</p> Signup and view all the answers

    In the provided code, what does the variable n_bins represent?

    <p>The number of bins used for density estimation</p> Signup and view all the answers

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