MATH5714M, Section 3.3: The optimal bandwidth for kernel density estimators.
This video is part of the
MATH5714M, Section 3.1: The Variance of a Kernel Density Estimate
This video is part of the
MATH5714M, Section 3.2: The Mean Squared Error of a Kernel Density Estimate.
This video is part of the
MATH5714M, Section 5.2: The Error of the Nadaraya-Watson Estimator
notes: https://seehuhn.github.io/
MATH5714M, section 8: Cross Validation
notes: https://seehuhn.github.io/
MATH5714M, Section 2.2: The Bias in Kernel Density Estimation
This video is part of the
MATH5714M, Section 6.3: Local Polynomial Regression
notes: https://seehuhn.github.io/
MATH5714M, Section 4.1: The Integrated Mean Squared Error
notes: https://seehuhn.github.io/
Chapter 3: Section 3.2-3.3
For: BCC Students: