Alexandria Library

A curated collection of awesome articles

Here are some ressources related to Statistics, Hypothesis testing, Probability. Hoping you will find learning material, alternative tools or just some interesting stuff.

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Articles

Monte Carlo methods

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68–95–99.7 Rule

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My Journey from R to Julia

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Too good to be true: when overwhelming evidence fails to convince (2016)

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A New Coefficient of Correlation

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Monte Carlo Methods or Why It's a Bad Idea to Go to the Casino

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Why a small handful of counties generates the bulk of US death sentences

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How to Think about Correlation?

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Understanding Statistical Power and Significance Testing

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Why Bayesian Stats Needs Monte-Carlo Methods

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Modes, Medians and Means: A Unifying Perspective (2013)

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Abusing linear regression to make a point

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The Little Handbook of Statistical Practice (2012)

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Statistics for Engineers: Applying statistical techniques to operations (2016)

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Time to Abolish "Statistical Significance"?

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It’s not just p=0.048 vs. p=0.052

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Monte Carlo methods – Why it's a bad idea to go to the casino

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Significant Pattern Mining for Time Series

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Common statistical tests are linear models

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Guidelines for keeping a laboratory notebook

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Estimating the chances of something that hasn’t happened yet

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The hacker's guide to uncertainty estimates

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A First Course in Design and Analysis of Experiments (2010) [pdf]

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Foundations of Data Science [pdf]

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Why I've lost faith in p values

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You need 16 times the sample size to estimate an interaction than a main effect

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Markov's and Chebyshev's Inequalities Explained

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Why isn't everything normally distributed?

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Why we should love null results

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Bootstrapped – A Python library to generate confidence intervals

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Causal inference in Python

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Unlearning descriptive statistics

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Advanced Data Analysis from an Elementary Point of View

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Statistical Mistakes and How to Avoid Them

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Data Analysis and Visualization Using R (2014)

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Simple Rules for Effective Statistical Practice

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Standard deviation is ready for retirement: Nassim Taleb (2014)

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Economics Simulation

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Too Good to Be True: How More Evidence Can Decrease Confidence

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Most commonly used statistical tests and implementation in R

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The Mathematics of Paul Graham's Bias Test

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Statistics for Hackers

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Nelson Rules

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Clustering of Time Series Subsequences Is Meaningless (2005) [pdf]

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P-Values are not Error Probabilities (2003) [pdf]

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Understanding Variance, Co-Variance, and Correlation

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An Introduction to the Central Limit Theorem

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Avoiding a Common Mistake with Time Series

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Intro to statistical data analysis in Python – frequentist and Bayesian methods

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How Not to Measure Computer System Performance

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Statistical shortcomings in standard math libraries (and how to fix them)

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Nassim Taleb: We should retire the notion of standard deviation

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Statistical Formulas For Programmers

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Bayes' rule in Haskell (2007)

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Babbage: A Clojure library for accumulation and graph computation

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Free book on Statistics for Programmers

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Think Stats: Probability and Statistics for Programmers

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Everything is a linear model

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My Favorite Statistical Measure: Hoeffding's D

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Rule-based NLP system beats LLM for analysis of psychiatric clinical notes

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How to Determine the Error of an Air Quality Sensor?

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A User’s Guide to Statistical Inference and Regression

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Show HN: Tea-tasting, a Python package for the statistical analysis of A/B tests

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The Truth About Linear Regression (2015)

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Revisiting the Classics: Jensen's Inequality (2023)

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