Mathematica Information Center

SIMPLE SEARCH

Search       for
Advanced Search»
1 - 10 of 24 for Bayesian Search Results
Bayesian Statistical Models for ...   (Conference Proceedings)
Bayesian Statistical Models provide statisticians and auditors with a set of powerful tools for attacking financial audit problems. Some of these statistical auditing ...
This book provides a clear exposition of the underlying concepts of Bayesian analysis, with large numbers of worked examples and problem sets. It also discusses numerical ...
This article explains estimation of gene frequencies from a Bayesian viewpoint using prior information. How to obtain Bayes estimators and the highest posterior density ...
We illustrate the use of the Mathematica software system (programming language) for performing Bayesian calculations of the sort encountered in introductory presentations of ...
In this paper we discuss the sample size problem for balanced one-way ANOVA under a posterior Bayesian formulation of the problem. Using the distribution theory of ...
The paper presents a method for symbolic propagation of uncertainty in Bayesian discrete and continuous (normal) networks, using Mathematica. For the normal Bayesian networks ...
Bayesian Statistics and ...   (Conference Proceedings)
Abstract This talk will illustrate how I use Mathematica for Bayesian statistical and econometric analysis. Bayesian statistical techniques are numerically intensive ...
We use a Bayesian approach to fitting a linear regression model to transformations of the natural parameter for the exponential class of distributions. The usual Bayesian ...
In this paper we show how Bayesian network models can be used to perform a sensitivity analysis using symbolic, as opposed to numeric, computations. An example of damage ...
This accessible book teaches readers how to perform data science through examples and figures. The inner workings of linear regression, non-linear models and Monte Carlo ...
1 23  Next