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Nonparametric Curve Estimation
STAT 7336
School of Natural Sciences and Mathematics
The course gives a unified account of modern nonparametric statistical methods for curve estimation. Topics include series estimation with emphasis on trigonometric series and wavelets; density estimation; nonparametric regression; filtering signals; time series analysis; survival analysis; handling modified and missing data; theoretical analysis based on rates and constants of the mean integrated squared error convergence; and non-series methods, including those based on kernels, local polynomials, nearest neighbors, and splines. Implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6331 or instructor consent required.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.841
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Nonparametric Curve Estimation
STAT 7336
School of Natural Sciences and Mathematics
The course gives a unified account of modern nonparametric statistical methods for curve estimation. Topics include series estimation with emphasis on trigonometric series and wavelets; density estimation; nonparametric regression; filtering signals; time series analysis; survival analysis; handling modified and missing data; theoretical analysis based on rates and constants of the mean integrated squared error convergence; and non-series methods, including those based on kernels, local polynomials, nearest neighbors, and splines. Implementation of methods using a software package. 3 credit hours.
Prerequisite: STAT 6331 or instructor consent required.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.841
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