I understand how using classical or bayesian statistical inference os often very helpful for solving information theory problems, or for improvements in data managing or manipulation of learning algorithms. But the other way around (using I.T knowledge to find a way in inference), I can't find it clear enough. Is information theory knowledge necessary (or at least recommended) for solving inference problems, like parameter estimation for example?(adsbygoogle = window.adsbygoogle || []).push({});

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Dependencies of Inference on Information Theory.

Loading...

Similar Threads - Dependencies Inference Information | Date |
---|---|

B Conditional Probability, Independence, and Dependence | Dec 29, 2017 |

I Independent versus dependent pdf | Dec 5, 2017 |

I Problems with Existential Instantiation | Feb 10, 2017 |

A What is first and Second order Dependence? | Dec 3, 2016 |

**Physics Forums - The Fusion of Science and Community**