Density Estimation

In probability and statistics,density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.
Posts about Density Estimation
  • Vladimir Vapnik Joins Facebook AI Research

    … that Vladimir Vapnik has joined Facebook AI Research. Vladimir is universally known in the machine-learning and statistics communities as the father of statistical learning theory and the co-inventor of the Support Vector Machine method. One of the key concepts of learning theory bears his name: the Vapnik-Chervonenkis Dimension, which measures…

    David Cohen/ AllFacebookin Social- 5 readers -
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