Emanuel Parzen is an American statistician known for his significant contributions to statistical theory and methods, particularly in the area of nonparametric statistics. He is best known for developing the Parzen window method, a technique used in density estimation, which allows for the estimation of probability density functions from a set of data points. This method is widely used in various fields including machine learning, signal processing, and data analysis.
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