Laptop music may have an aggressive beat that sounds warped and filtered, or the atmospheric outer-space effect of ambient music; like electronica, it borrows samples from many different styles of music.
Mr. Rai decided to borrow the sample himself, but he added a thick layer of dhol drums and a tense, stabbing tumbi phrase.
Therefore although the study was relatively limited, it had the purpose to answer a valid query from an archivist and the more extensive data collection also revealed an interesting longitudinal study of newsprint yellowing measurements in archival material for a period over a longer time span than the IBP (whilst borrowing sampling methodology from it).
Look at the cut and paste mashup borrowing, sampling, replicating, recycling, and reoffering of much contemporary art -- no real risk, despite appearances.
We developed a probabilistic framework called JointSNVMix to allow us to benchmark a model that can borrow statistical strength between samples against standard independent analysis.
The analysis of demand based on borrowing and nonborrowing sample households using improved dairy technology, it is shown that not all borrowers borrowed due to liquidity constraint while some borrowers and some nonborrowers had liquidity constraint but did not have access to adequate credit.
We assume the count data from the two samples are jointly emitted from G i thus capturing correlations between the variables, and allowing statistical strength to be borrowed across the samples.
She borrows - or samples - textures and imagery from all over the place, and by flattening the perspective she gives equal importance to everything on the page, rather as children do in their drawings.
In contrast to independent analysis of the tumour and normal data, our method allows statistical strength to be borrowed across the samples and therefore amplifies the statistical power to identify and distinguish both germline and somatic events in a unified probabilistic framework.
Empirical Bayes methods borrow information from all the samples for estimating each q j, therefore give more robust estimates of q j. (Casella, 1985) We assume the prior distribution f of q j is uniform on.
