Maximum Penalized Likelihood Estimation: Volume I: Density Estimation - Vincent N Lariccia,P P B Eggermont
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This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into techn ... Full description
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Description
This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.
More Information
| Author | Vincent N Lariccia, P P B Eggermont |
|---|---|
| Publisher | Springer New York |
| Release year | 2001 |
| Cover type | Hardcover |
| EAN | 9780387952680 |