On Estimation of a Probability Density Function and Mode

Keywords

Mathematics, Probability density function, Estimation, Density estimation, Statistics

References

• On some asymptotic properties of maximum likelihood estimates and related Bayes' estimatesLe Cam, M. Lucien — 1953
• Mathematical Considerations in the Estimation of SpectraEmanuel Parzen — 1961
• Harmonic Analysis and the Theory of ProbabilityJ. L. B. Cooper — 1957
• On the Smoothing of Probability Density FunctionsPeter Whittle — 1958

Cited by

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• An analysis of biological random processes via optimized statistical modelsРуина Екатерина Андреевна, Густов Александр Васильевич, Кузнецова Ирина Александровна — 1976
• Non-Parametric Motion Activity Analysis for Statistical Retrieval with Partial QueryRonan Fablet, Patrick Bouthémy — 2001
• Reproducing kernel Hilbert spaces for point processes, with applications to neural activity analysisAntónio R. C. Paiva — 2008
• Development of an On-line Transient Classification SystemN. Perera — 2009
• Transaction size and effective spread: An informational relationshipThomas Henker, Robert Kohn, Yuewen Xia — 2008
• A Rule-of-Thumb for the Variable Bandwidth Selection in Kernel Hazard Rate EstimationGefeller, Olaf, Weißbach, Rafael — 2004
• Two methods of discrimination on qualitative variables.Владимир Хамитович Гильманов — 1980
• Distributed clustering based on sampling local density estimatesMatthias Klusch, Stefano Lodi, Gianluca Moro — 2003
• Wind power forecasting by nonparametric and parametric time series modelsPatricia Tencaliec — 2012
• Structural and physiological properties of connections between individual reticulospinal axons and lumbar motoneurons of the frogLuiz Augusto Perandini, Diego Sales-de-Oliveira, Suzana Beatriz Veríssimo de Mello — 2001
• Brain tumor segmentation with minimal user assistanceLiqun Liu — 2014
• Point de vue maxiset en estimation non paramétriqueFlorent Autin — 2004
• COMPARISON OF ENTROPY AND MEAN SQUARE ERROR CRITERIA IN ADAPTIVE SYSTEM TRAINING USING HIGHER ORDER STATISTICSDeniz Erdoğmuş, José C. Prı́ncipe — 2004
• Stream Clustering Based on Kernel Density EstimationStefano Lodi, Gianluca Moro, Claudio Sartori — 2006
• Nonparametric SnakesUmut Özertem, Deniz Erdoğmuş — 2007
• Dense Stereo Matching with Robust Cost Funtions and Confidence-based Surface PriorKe Zhu — 2014
• Nonlinear kernel-based statistical pattern analysisTingga Pradana — 2001
• K-nearest Neighbors Directed Noise Injection in Multilayer Perceptron Training一彦 池田 — 2000
• Inference Based on Kernel Estimates of the Relative Risk Function in Geographical EpidemiologyJ. Wdowczyk, A. W. Wolfendale — 2009

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