Maximum Penalized Likelihood Estimation is popular PDF and ePub book, written by P.P.B. Eggermont in 2020-12-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Maximum Penalized Likelihood Estimation can be Read Online from any device for your convenience.
Maximum Penalized Likelihood Estimation Book PDF Summary
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.
Detail Book of Maximum Penalized Likelihood Estimation PDF
- Author : P.P.B. Eggermont
- Release : 15 December 2020
- Publisher : Springer Nature
- ISBN : 9781071612446
- Genre : Mathematics
- Total Page : 514 pages
- Language : English
- PDF File Size : 19,7 Mb
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