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How does a random sample solve for a clustered, say, distribution? Don't the estimations rely on assumptions of continuity? Suppose I have addresses /v=0x00 to
by pbhjpbhj 3y ago
How does a random sample solve for a clustered, say, distribution? Don't the estimations rely on assumptions of continuity?
Suppose I have addresses /v=0x00 to 0xff, but I only use f0 to ff; if you assume the videos are distributed randomly then your estimates will always be skewed, no?
So I take the addressable space and apply an arbitrary filter before assigning addresses.
Equally random samples will be off by the same amount, but you don't know the sparsity that I've applied with my filter?
- barrkel 3y agoAs long as the sampling isn't skewed, and is properly random and covers the whole space evenly, it will estimate cardinality correctly regardless of the underlying distribution. There is no way for clustering to alter the probability of a hit or a miss. There is nowhere to "hide". The probability of a hit remains the proportion of the space which is filled.