Kernel Density Estimator
Some Improvement on Convergence Rates of Kernel Density Estimator
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A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
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Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling
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Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data
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Analytical Plug-In Method for Kernel Density Estimator Applied to Genetic Neutrality Study
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The Berry Esséen bounds for kernel density estimator under dependent sample
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A Berry Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data
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Density Estimation methods based on Mass
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Low Complexity Algorithm for Probability Density Estimation Applied in Big Data Analysis
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Density Estimation methods based on Mass
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PERFORMANCE ANALYSIS OF DENSITY ESTIMATION AND MASS ESTIMATION Khushabu Trivedi 1, Parvati Bhurani2
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A sparse kernel density estimation algorithm using forward constrained regression
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Probability density function estimation using orthogonal forward regression
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Minimum Density Hyperplanes
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Density Estimation in Infinite Dimensional Exponential Families
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On the convergence rates of kernel estimator and hazard estimator for widely dependent samples
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Bandwidth selection for kernel density estimation with length-biased data
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Deconvoluting kernel density estimators
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Inference for likelihood based estimators of generalized long memory processes
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nihms935418.pdf
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