Bayesian Inference Project Assignment Help

Bayesian Inference Project Assignment Help

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The project will require you to analyse one or more real world datasets of your choice. You can use the UCI repository or any other publicly available dataset that was not analysed during the course and is suitable for the analysis described below.

The project will consist of analysing the data based on the following techniques covered in the course

1. Regression (linear) or Classification (logistic regression): where the problem consists of a continuous or a binary response variable.
2. Hierarchical / Multi-level models.

Bayesian Inference Project Assignment Help

The above tasks should be implemented with Markov Chain Monte Carlo methods using the RStan package. Material from the computer classes can be used for loading the data and doing the analysis. It would ok to also include the following topics in your analysis if they are relevant but this is entirely optional. 3. Cluster Analysis: if it is of interest to identify homogeneous population groups in the context of the empirical application. 4. Gaussian processes: if some of the associations are non-linear. You will be expected to present the empirical problem, consider and implement competing methods to use the available data to address it. At least one of the adopted methods should be among the topics covered in the course. It is also fine if more than one or even all of the adopted methods are among the topics covered, as long as they are relevant for the empirical problem. In all cases, the output from these techniques should be described in non-technical language targeting people with a minimal quantitative background. The results of the project should be presented in a 8-page article in A4 format. The 8-page limit includes figures and tables but excludes the title page, table of contents and references. In addition to the 8-page article, which should be submitted via a soft copy, your R code should also be submitted with appropriate comments and description via a R markdown notebook. Bayesian Inference Project Assignment Help

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