Bayesian analysis

Bayesian Prediction in Spatial Data Analysis

Bayesian Analysis

In the preceding paper, Bayesian analysis was applied to the parameter estimation problem, given quadrature NMR data. Here Bayesian analysis is extended to the problem of selecting the model which is most probable in view of the data and all the prior information. In addition to the analytic calculation, two examples are given. The rst example demonstrates how to use Bayesian probability theory...

Bayesian Analysis

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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...

Bayesian Analysis

Probability theory, when interpreted as logic, enables one to ask many questions not possible with the frequency interpretation of probability theory. Often, answering these questions can be computationally intensive. If these techniques are to nd their way i n to general use in NMR, a way that allows one to calculate the probability for the frequencies, amplitudes, and decay rate constants qui...