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Related Questions
- What is the difference between Bayesian inference and classical inference in the context of probabilistic models?
- How does Bayesian inference enable probabilistic models to incorporate prior knowledge and update it with new data?
- What are the key components of Bayesian inference in probabilistic models, such as the prior distribution, likelihood function, and posterior distribution?
- How does Bayesian inference facilitate the use of uncertainty quantification in probabilistic models?
- Can you provide an example of Bayesian inference in a probabilistic model, such as a Gaussian process or a Bayesian neural network?
- How does Bayesian inference relate to other probabilistic models, such as stochastic processes and Markov random fields?
- What are the benefits and challenges of using Bayesian inference in probabilistic models, such as computational complexity and model selection?
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