MATH5714M, Section 4.3: Bandwidth Selection

(8:6)

MATH5714M Section 1.1: Histograms

(11:18)

MATH5714M, Section 5.2: The Error of the Nadaraya-Watson Estimator

(17:54)

MATH5714M, Section 4.2: Choice of the Kernel

(10:28)

MATH5714M, Section 9.1: Kernel Density Estimation

(19:41)

MATH5714M, Section 4.4: KDE in Higher Dimensions

(12:14)

MATH5714M, section 6.2: Polynomial Regression

(10:53)

MATH5714M, Section 2.3: Moments of Kernels

(10:37)

MATH5714M, Section 2.2: The Bias in Kernel Density Estimation

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MATH5714M, Section 2.4: The Bias for Small Bandwidth

(10:40)

MATH5714M, Section 9.3: kNN Regression

(10:46)

MATH5714M, section 8: Cross Validation

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MATH5714M, Section 6.3: Local Polynomial Regression

(12:30)

MATH5714M, Section 2.1: A Statistical Model for Kernel Density Estimation

(3:30)

MATH5714M, Section 3.1: The Variance of a Kernel Density Estimate

(19:44)

MATH5714M, Section 7: k-Nearest Neighbours

(14:39)

MATH5714M Section 1.2: Kernel Density Estimation

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