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Links 1 through 10 of 27 by Juan Manuel Caicedo tagged statistics

Hourly and monthly pageviews for Wikipedia articles.

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A collection of statistical formulas, "a sort of statistical cheat-sheet for the practicing programmer".

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This book provides an introduction to the statistical analysis of quantitative data for researches studying aspects of language and language processing.

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This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.

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This writeup is my attempt to give a quick survey of various approaches for simulating a loaded die, ranging from simple techniques that are highly impractical to the very optimized and efficient alias method. My hope here is to capture different intuitions about the problem and how each highlights some new aspect of simulating loaded dice. For each approach, my goal is to explore the motivating idea, core algorithm, correctness proof, and runtime analysis (in terms of time, memory, and randomness required).

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A Java library to create, process and manage mixtures of exponential families

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A concise reference on advanced matrix theory, including:
- An easy way to compute matrix derivatives and second derivatives
- A general framework for inverting partitioned matrices
- Useful properties of Kronecker product, Hadamard product, and diag
- The column-stacking operator "vec" and its generalization to "vec-transpose"

Includes applications to multilinear models, principal component analysis, blind source separation, Lyapunov equations, model alignment, and more.

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The answer for this question include good pointers to resources about AUC.

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Lecture by Peter Flach, where he gives simple definitions of the area under a ROC curve.

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The same statistical errors – namely, ignoring the "difference in differences" – are appearing throughout the most prestigious journals in neuroscience.

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