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Bayesian non-parametric modeling is an excellent tool for researchers and analysts who are looking for advanced techniques to model and estimate uncertain parameters. If you’re working on a research project or studying a particular topic, non-parametric methods are the way to go. This methodology is unique in that it doesn’t assume any assumptions about the model’s form. Therefore, it doesn’t require specific assumptions and can be applied to any type of data. Bayesian non-parametric methods can also handle high-dimensional data sets
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