ON SMOOTHED PROBABILITY DENSITY ESTIMATION
نویسندگان
چکیده
منابع مشابه
Kernel Probability Density Estimation Methods
S. Towers State University of New York at Stony Brook Abstract Kernel Probability Density Estimation techniques are fast growing in popularity in the particle physics community. This note gives an overview of these techniques, and compares their signal/background discrimination performance to that of an artificial neural network.
متن کاملChapter 8: Probability Density Estimation
We discussed several techniques for graphical exploratory data analysis in Chapter 5. One purpose of these exploratory techniques is to obtain information and insights about the distribution of the underlying population. For instance, we would like to know if the distribution is multi-modal, skewed, symmetric, etc. Another way to gain understanding about the distribution of the data is to estim...
متن کاملPareto Density Estimation: Probability Density Estimation for Knowledge Discovery
Pareto Density Estimation (PDE) as defined in this work is a method for the estimation of probability density functions using hyperspheres. The radius of the hyperspheres is derived from optimizing information while minimizing set size. It is shown, that PDE is a very good estimate for clusters of Gaussian structure. The robustness of the method is tested with respect to cluster overlap, number...
متن کاملProbability Density Estimation Using Entropy Maximization
We propose a method for estimating probability density functions and conditional density functions by training on data produced by such distributions. The algorithm employs new stochastic variables that amount to coding of the input, using a principle of entropy maximization. It is shown to be closely related to the maximum likelihood approach. The encoding step of the algorithm provides an est...
متن کاملProbability Density Function Estimation using theMinMax
| The problem of initial probability assignment consistent with the available information about a probabilis-tic system is called a direct problem. Jaynes' maximum en-tropy principle (MaxEnt) provides a method for solving direct problems when the available information is in the form of moment constraints. On the other hand, given a probability distribution, the problem of nding a set of constra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of informatics and cybernetics
سال: 1989
ISSN: 0286-522X
DOI: 10.5109/13406