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Jun
28
comment Sufficient statistic for product of $\Gamma(x + a_i)$
If this question interests you, please help me tag it.
Jun
28
asked Sufficient statistic for product of $\Gamma(x + a_i)$
Jun
17
awarded  Quorum
Dec
29
revised Convolution of probability densities. Having trouble integrating over vector
added 218 characters in body
Dec
28
accepted Convolution of probability densities. Having trouble integrating over vector
Dec
28
comment Convolution of probability densities. Having trouble integrating over vector
thanks! B is the multinomial beta function, which I think normalizes the distribution correctly. the domain of integration is such that the arguments passed to f are always negative (l - x <= l - l = 0).
Dec
26
comment How do you get a Percentage of how far the value is from expected Value
FYI the mean is a synonym for expected value
Dec
25
awarded  Teacher
Dec
25
answered Making Change for a Dollar (and other number partitioning problems)
Dec
25
revised Convolution of probability densities. Having trouble integrating over vector
added 301 characters in body; added 36 characters in body
Dec
25
asked Convolution of probability densities. Having trouble integrating over vector
Dec
17
accepted What is the $d\sigma/\sigma$ rule?
Dec
17
comment What is the $d\sigma/\sigma$ rule?
Thank you very much for this answer. I guess I am a 'true believer.'
Dec
15
asked What is the $d\sigma/\sigma$ rule?
Dec
7
comment Big $\mathcal{O}$ Notation question while estimating $\sum \frac{\log n}{n}$
Can someone repair the title: "Big O notation."
Dec
1
comment $e$ to 50 billion decimal places
@Arturo, I think I understand, thanks.
Dec
1
comment $e$ to 50 billion decimal places
@Arturo, My point is that the parallelization and vectorizing problem is essentially solved by the mapreduce algorithm. All one needs is a program that calculates some digits, whether in hex or in decimal.
Dec
1
comment $e$ to 50 billion decimal places
@J.M. I really don't see that. It's a standard map-reduce with key=decimal positions, value=decimal values. The map-reduce framework does the consolidation automatically.
Dec
1
comment $e$ to 50 billion decimal places
@J.M. Good point, but calculation of the digits of pi and e are easily parallelizable since the calculation of later digits don't depend on earlier ones.
Dec
1
comment $e$ to 50 billion decimal places
Nice answer, but why do you say that we are not good at parallel computing? Most of Google's services are proof of excellent parallelization.