List questions from self-learning

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Combinatorics dance class

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understanding of this $\int_0^{\infty} P[Y>t]dt = \sum_{n=0}^{\infty} \int_{mn}^{m(n+1)} P[Y>t]dt $

Published on 26 Sep 2018 - 2:59

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Determine whether the following is a subspace of the indicated vector space

Published on 26 Sep 2018 - 3:36

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Why is $\mu(E_{1}) + \lim\limits_{N \rightarrow \infty} \sum\limits_{n=1}^{N} \mu(E_{n+1} -E_{n}) = \lim\limits_{N \rightarrow \infty} \mu(E_{N})$

Published on 26 Sep 2018 - 7:24

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Compute $P(X_1=\min\{X_1,...,X_5\},X_5=\max\{X_1,...,X_5\})$ for $(X_i)$ i.i.d. uniformly distributed

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Question about a preferential attachment model

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necessary and sufficient condition for convergence of power series

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Demonstrate that (1) and (2) are equal

Published on 07 Oct 2018 - 10:48

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Gamma function integral

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Image of a binary relation

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254

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Solving for mixture coefficients in Gaussian Mixture Model

Published on 13 Oct 2018 - 23:09

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Book reference for topology: Can I avoid filters?

Combinatorics dance class

understanding of this $\int_0^{\infty} P[Y>t]dt = \sum_{n=0}^{\infty} \int_{mn}^{m(n+1)} P[Y>t]dt $

Determine whether the following is a subspace of the indicated vector space

Why is $\mu(E_{1}) + \lim\limits_{N \rightarrow \infty} \sum\limits_{n=1}^{N} \mu(E_{n+1} -E_{n}) = \lim\limits_{N \rightarrow \infty} \mu(E_{N})$

Compute $P(X_1=\min\{X_1,...,X_5\},X_5=\max\{X_1,...,X_5\})$ for $(X_i)$ i.i.d. uniformly distributed

Question about a preferential attachment model

Book Recommendation

Locus problem for vertex of equilateral triangle

necessary and sufficient condition for convergence of power series

Closed form solution for linear dynamical systems

Demonstrate that (1) and (2) are equal

Gamma function integral

Image of a binary relation

Solving for mixture coefficients in Gaussian Mixture Model

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