# Web Science/Part2: Emerging Web Properties/Generative Models for the Web

Jump to navigation
Jump to search
Understand how to sample values from an arbitrary probability distribution
Have seen yet another application of the cumulative distribution function
Understand that sampling from a distribution is just a coordinate transformation of the uniform distribution
See that it makes sense to compare statistics
Understand that comparing statistics is not a well defined task
Be aware of the fact that very different models could lead to the same statistics
See that one can always increase the model parameters
Know that increasing model parameters often yields a more accurate model
Be aware of the bigram and mixed models as examples for our generative processes

# Generative Models for the Web

## Associated units

- Understand the principle methodology for building generative models
- Remember why people are interested in generative models
- Know why descriptive models are needed when evaluating a generative model
- Be aware of one way to create a model for text generation

no further reading defined

You can define further reading here.

In general you can use the edit button in the upper right corner of a section to edit its content.

In general you can use the edit button in the upper right corner of a section to edit its content.