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| | aakinshin.net
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| | In [[carling-outlier-detector]], I evaluated the probability of outlier detection for samples from the Normal distribution across different outlier detectors. I performed numerical simulations for small sample sizes, then confidently extrapolated the result...
| | djalil.chafai.net
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| | Convergence in law to a constant. Let \( {{(X_n)}_{n\geq1}} \) be a sequence of random variables defined on a common probability space \( {(\Omega,\mathcal{A},\mathbb{P})} \), and taking their values in a metric space \( {(E,d)} \) equipped with its Borel sigma-field. It is well known that if \( {{(X_n)}_{n\geq1}} \) converges in law as \( {n\rightarrow\infty} \) to some Dirac...
| | danieltakeshi.github.io
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| | In my STAT 210A class, we frequently have to deal with the minimum of asequence of independent, identically distributed (IID) random variables. Thishappens b...
| | today.yougov.com
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| The poll covers the state of the Democratic and Republican parties, potential 2028 candidates, views on abortion, Social Security, and DEI, reactions to the military leak, and Trump's job approval numbers.