Bayesian analysis of spatial data using different variance and neighbourhood structures

Bayesian Prediction in Spatial Data Analysis

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

comparative dna interaction studies of antiviral drug, zidovudine and its complex using different instrumental methods

هدف از این مطالعه بررسی امکان استفاده از داروهای شناخته شده در درمان سایر بیماریها به عنوان داروهای ضد سرطان است. همچنین با استفاده از این داروها در ساختمان کمپلکس فلز می توان شاخص های دارویی بدست آمده را بررسی نمود. داروی ضد ویروس ایدز(hiv)به نام زیدوودین(azt)انتخاب و.کمپلکس.محلول.در.آب[pt(azt)2]cl2سنتزو به روشهای مختلف فیزیکی و شیمیایی شناسایی گردید. بر هم کنش مقایسه ای این دارو و کمپلکس پلا...

Bayesian Analysis of Censored Spatial Data Based on a Non-Gaussian Model

Abstract: In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of the skew log Gaussian model to accommodate to both skewness and heavy tails and also censored data. All of the characteristics mentioned are three pervasive features of spatial data. We utilize data augme...

Bayesian Neighbourhood Component Analysis

Learning a good distance metric in feature space potentially improves the performance of the KNN classifier and is useful in many real-world applications. Many metric learning algorithms are however based on the point estimation of a quadratic optimization problem, which is time-consuming, susceptible to overfitting, and lack a natural mechanism to reason with parameter uncertainty, an importan...