Analysis of kinetic energy release distributions by the maximum entropy method
نویسندگان
چکیده
منابع مشابه
The Maximum Entropy Method for Lifetime Distributions
An approach to produce a model for the data generating distribution is the well-known maximum entropy method. In this approach, the partial knowledge about the data generating distribution is formulated in terms of a set of information constraints, usually moment constraints, and the inference is based on the model that maximizes Shannon’s entropy under these constraints. In this paper we inves...
متن کاملDeconvolution by the Multiscale Maximum Entropy Method
In 1994, to overcome the diiculties encountered by the Maximum Entropy Method (MEM) to restore images containing both high and low frequencies, Bontekoe et al. introduced the Pyramid Maximum Entropy Deconvolution. However, this method presents several drawbacks such as parameters estimation (model, alpha). Following these ideas, we propose the Multiscale Maximum Entropy Method which is based on...
متن کاملMaximum entropy distributions on graphs
Inspired by the problem of sensory coding in neuroscience, we study the maximum entropy distribution on weighted graphs with a given expected degree sequence. This distribution on graphs is characterized by independent edge weights parameterized by vertex potentials at each node. Using the general theory of exponential family distributions, we prove the existence and uniqueness of the maximum l...
متن کاملComputing Maximum Entropy Distributions Everywhere
We study the problem of computing the maximum entropy distribution with a specified expectation over a large discrete domain. Maximum entropy distributions arise and have found numerous applications in economics, machine learning and various sub-disciplines of mathematics and computer science. The key computational questions related to maximum entropy distributions are whether they have succinc...
متن کاملProbability Distributions and Maximum Entropy
If we want to assign probabilities to an event, and see no reason for one outcome to occur more often than any other, then the events are assigned equal probabilities. This is called the principle of insufficient reason, or principle of indifference, and goes back to Laplace. If we happen to know (or learn) something about the non-uniformity of the outcomes, how should the assignment of probabi...
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: International Journal of Mass Spectrometry
سال: 2006
ISSN: 1387-3806
DOI: 10.1016/j.ijms.2005.12.005