<--- Back to Details
First PageDocument Content
Statistics / Probability / Mathematical analysis / Probability distributions / Differential forms / Thermodynamics / Gamma distribution / Closed and exact differential forms / NC / Constructible universe / Mixture model / Normal distribution
Date: 2010-09-02 04:17:24
Statistics
Probability
Mathematical analysis
Probability distributions
Differential forms
Thermodynamics
Gamma distribution
Closed and exact differential forms
NC
Constructible universe
Mixture model
Normal distribution

Combining observation models in dual exposure problems using the Kullback-Leibler Divergence

Add to Reading List

Source URL: decsai.ugr.es

Download Document from Source Website

File Size: 2,45 MB

Share Document on Facebook

Similar Documents

GRADUATE SEMINAR Olusesan Ogunsanya STATISTICAL TEST FOR THE GENERALIZED GAMMA DISTRIBUTION MSc Student supervised by Andrei Volodin Wednesday, June 13th

DocID: 1xVeT - View Document

Eurographics Workshop on Natural PhenomenaD. Ebert, S. Mérillou (Editors) Fast Fluid Simulation Using Residual Distribution Schemes Jason Sewall† , Paul Mecklenburg, Sorin Mitran, and Ming Lin University of No

DocID: 1sYDV - View Document

Statistics / Mathematical analysis / Probability / Probability distributions / Infinitely divisible probability distributions / Poisson processes / Clock signal / Clock skew / Weibull distribution / Exponential distribution / Network Time Protocol / Gamma distribution

Ghostscript wrapper for Y:ldn.pdf

DocID: 1rueg - View Document

Statistics / Mathematical analysis / Probability / Probability distributions / Infinitely divisible probability distributions / Poisson processes / Gamma distribution / Poisson distribution

Staying at Zero with Ane Processes: A New Dynamic Term Structure Model Monfort Renne ∗

DocID: 1rsq9 - View Document

Statistics / Mathematical analysis / Probability distributions / Probability / Gamma distribution / Bias of an estimator / Relationships among probability distributions

James&#x2013;Stein type estimators of variances

DocID: 1rjIr - View Document