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destevez.net
| | djalil.chafai.net
4.4 parsecs away

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| | This post is mainly devoted to a probabilistic proof of a famous theorem due to Schoenberg on radial positive definite functions. Let us begin with a general notion: we say that \( {K:\mathbb{R}^d\times\mathbb{R}^d\rightarrow\mathbb{R}} \) is a positive definite kernel when \[ \forall n\geq1, \forall x_1,\ldots,x_n\in\mathbb{R}^d, \forall c\in\mathbb{C}^n, \quad\sum_{i=1}^n\sum_{j=1}^nc_iK(x_i,x_j)\bar{c}_j\geq0. \] When \( {K} \) is symmetric, i.e. \( {K(x,y)=K(y,x)} \) for...
| | danieltakeshi.github.io
4.9 parsecs away

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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...
| | gregorygundersen.com
4.7 parsecs away

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| | [AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.
| | apoorvasrinivasanblog.com
22.2 parsecs away

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| [AI summary] This blog post introduces the concept of hypothesis testing in statistics, explaining its purpose, key components, and steps to conduct a hypothesis test using an example about coffee and height.