analysis:course-w16:week10

This shows you the differences between two versions of the page.

Both sides previous revision Previous revision Next revision | Previous revision | ||

analysis:course-w16:week10 [2017/01/05 15:16] mvdm [Bayesian decoding] |
analysis:course-w16:week10 [2018/07/07 10:19] (current) |
||
---|---|---|---|

Line 275: | Line 275: | ||

\[P(\mathbf{n}|\mathbf{x}) = \prod_{i = 1}^{N} \frac{(\tau f_i(\mathbf{x}))^{n_i}}{n_i!} | \[P(\mathbf{n}|\mathbf{x}) = \prod_{i = 1}^{N} \frac{(\tau f_i(\mathbf{x}))^{n_i}}{n_i!} | ||

- | e^{-\tau f_i (x)}\] | + | e^{-\tau f_i (\mathbf{x})}\] |

An analogy here is simply to ask: if the probability of a coin coming up heads is $0.5$, what is the probability of two coints, flipped simultaneously, coming up heads? If the coins are independent then this is simply $0.5*0.5$. | An analogy here is simply to ask: if the probability of a coin coming up heads is $0.5$, what is the probability of two coints, flipped simultaneously, coming up heads? If the coins are independent then this is simply $0.5*0.5$. |

analysis/course-w16/week10.1483647362.txt.gz ยท Last modified: 2018/07/07 10:19 (external edit)

Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International