Asymptotic Analysis of Penalized Likelihood and Related Estimators

Keywords

Mathematics, Estimator, Asymptotic analysis, Applied mathematics, Nonparametric statistics

References

• Interpolation Theory, Function Spaces, Differential OperatorsH. Triebel — 1978
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• Solution of Incorrectly Formulated Problems and the Regularization MethodА. Н. Тихонов — 1963
• Nonparametric roughness penalties for probability densitiesI. J. Good — 1971
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• Approximation of Method of Regularization EstimatorsDennis D. Cox — 1988
• Automatic Smoothing of Regression Functions in Generalized Linear ModelsFinbarr O’Sullivan, Brian S. Yandell, William J. Raynor — 1986
• Principles of mathematical analysisWalter Rudin — 1964
• Computational Solution of Nonlinear Operator EquationsJ. M. O., L. B. Rall — 1969
• Density Estimation, Stochastic Processes and Prior InformationTom Leonard — 1978
• Smooth Estimates for the Hazard FunctionJames A. Anderson, Ambikaipakan Senthilselvan — 1980
• On a New Method of GraduationE. T. Whittaker — 1922
• Nonparametric roughness penalties for probability densitiesI. J. GOODD, R. A. Gaskins — 1971

Cited by

• Nonparametric covariance estimation in functional mapping of complex dynamic traitsRongling Wu, John Stephen F. Yap — 2008
• On the Support Vector MachineYi Lin — 2003
• Optimizing the limit setting potential of a multivariate analysis using the Bayes posterior ratioG. C. Hill, Fan Lü, P. Desiati — 2003
• A kernel based adalineThilo-Thomas Frieß, Robert F. Harrison — 1999
• Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)Carl Edward Rasmussen, Christopher K. I. Williams — 2005
• NONPARAMETRIC LOGISTIC REGRESSION: REPRODUCING KERNEL HILBERT SPACES AND STRONG CONVEXITYP. P. B. Eggermont, V. N. LaRiccia — 2003
• On-line Independent Support Vector Machines for Cognitive SystemsFrancesco Orabona, Claudio Castellini, Barbara Caputo — 2007
• PENALIZED LIKELIHOOD HAZARD ESTIMATION: A GENERAL PROCEDUREChong Gu — 1996
• JOINT ASYMPTOTICS FOR SEMI-NONPARAMETRIC MODELS UNDER PENALIZATIONGuang Cheng, Zuofeng Shang — 2013
• THREE ESSAYS ON MODEL SELECTION, MODULATION ESTIMATORS AND HERD BEHAVIOR UNDER ASYMMETRIC BELIEFSAhmad Reza Shahidi — 2009
• Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised LearningIlya V. Narsky, Frank Clifford Porter — 2013
• Latent class DEDICOMYoshio Takane, Henk A. L. Kiers — 1997
• An Information Approach to Regularization Parameter Selection for the Solution of Ill-Posed Inverse Problems Under Model MisspecificationAleksey Urmanov — 2002
• Penalized maximum likelihood estimation for generalized linear point processesNiels Richard Hansen — 2010
• Optimal convergence rates for Good's nonparametric maximum likelihood density estimatorP. P. B. Eggermont, V. N. LaRiccia — 1999
• Non-Convex and Multi-Objective Optimization in Data Mining - Non-Convex and Multi-Objective Optimization for Statistical Learning and Numerical Feature EngineeringIngo Mierswa — 2009
• Advances in Large Margin ClassifiersAlex Smola, P. Bartlett — 2000
• Learning with Kernels: support vector machines, regularization, optimization, and beyondBernhard Schölkopf, Alexander J. Smola — 2001
• Inference with penalized likelihoodDaniel Commenges, Jérémie Bureau, Hein Putter — 2014
• Support Vector Machines and the Bayes Rule in ClassificationYi Lin — 2002

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