Podcast
Play an AI-generated podcast conversation about this lesson
Questions and Answers
What is the main characteristic of the Naive estimator compared to the Histogram estimator?
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?
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?
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?
What is the purpose of using the naive_pdf function in the provided code?
Signup and view all the answers
In the provided code, what does the variable n_bins represent?
In the provided code, what does the variable n_bins represent?
Signup and view all the answers
