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djalil.chafai.net | ||
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ddarmon.github.io
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aakinshin.net
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| | | | | I have already discussed the concept of the quantile absolute deviation in several previous posts. In this post, we derive the equation for the relative statistical efficiency of the quantile absolute deviation against the standard deviation under the norma... | |
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almostsuremath.com
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| | | | | I start these notes on stochastic calculus with the definition of a continuous time stochastic process. Very simply, a stochastic process is a collection of random variables $latex {\{X_t\}_{t\ge 0}}&fg=000000$ defined on a probability space $latex {(\Omega,\mathcal{F},{\mathbb P})}&fg=000000$. That is, for each time $latex {t\ge 0}&fg=000000$, $latex {\omega\mapsto X_t(\omega)}&fg=000000$ is a measurable function from $latex... | |
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entropicthoughts.com
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| | | [AI summary] The text explores various statistical concepts, including correlation, variance, and partial correlations, using examples like income and room count, word count predictions by AI models, and programming language commit sizes. It discusses methods for calculating and interpreting these correlations, as well as the importance of considering degrees of freedom in statistical analysis. The article also references historical statistical methods and emphasizes the value of multiple perspectives in understanding statistical relationships. | ||
