Estimation of Soil Depth Using Bayesian Maximum Entropy Method
نویسندگان
چکیده
منابع مشابه
uncertainty assessment of the soil salinity boundary prediction in urmia plane using bayesian maximum entropy method.
in recent years, decrease in depth of uromia lake, has resulted in higher increase of salinity threat in agricultural lands around the lake. the aims of this study were 1- investigation of the spatial changes in soil salinity using the bayesian maximum entropy method (bme); 2- prediction of the boundary between saline and agricultural lands; and 3- assessment of the uncertainty involved with sa...
متن کاملDetermination of Maximum Bayesian Entropy Probability Distribution
In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. Next, some numerical solutions are considered for the cases of unavailable closed form of solutions. Finally, these methods are illustrated via some numerical examples.
متن کاملdetermination of maximum bayesian entropy probability distribution
in this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. next, some numerical solutions are considered for the cases of unavailable closed form of solutions. finally, these methods are illustrated via some numerical examples.
متن کاملIntegrating Correlated Bayesian Networks Using Maximum Entropy
We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate marginal distribution of each network and satisfies prescribed correlation between pairs of nodes taken from both networks. We derive the maximum entropy distribution for any pair of multivariate random vectors and prescribed correlations and demonstrate numerical results f...
متن کاملThe Maximum Entropy Method Of Moments And Bayesian Probability Theory
The problem of density estimation occurs in many disciplines. For example, in MRI it is often necessary to classify the types of tissues in an image. To perform this classification one must first identify the characteristics of the tissues to be classified. These characteristics might be the intensity of a T1 weighted image and in MRI many other types of characteristic weightings (classifiers) ...
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: Entropy
سال: 2019
ISSN: 1099-4300
DOI: 10.3390/e21010069