search for: _distribution_

Hi, I hope somebody can help me on how to use the hypergeometric function. I did read through the R documentation on hypergeometric but not really sure what it means. I would like to evaluate the hypergeometric function as follows: F((2*alpha+1)/2, (2*alpha+2)/2 , alpha+1/2, betasq/etasq). I'm not sure which function should be used- either phyper or qhyper or dhyper Where

...e visibly different; they are also ranked now by some analytic pdf-distance measures such as KL). Now, how to classify... given a single speed, its probability can be evaluated under the two classes, but a single speed sample is not going to be reliable in this problem. Suppose instead that the _distribution_ of speeds is sufficient to discriminate. We have a driver, and a distribution of their speeds over time. A histogram can be built. What to do with this histogram?... Is there a standard classifier that can deal with this situation? My thought(s): - the test histogram could be compared...

That article is a bit too dismissive. I agree that one cannot hear the difference between 48KHz/16bit and 192KHz/24bit if you just transfer the data directly to the audio output device. As such, there is no good reason for Opus to support higher than 48KHz (especially since this is lossy compression, anyway). However, in general, that's not all you do with audio data. 192KHz is useful for