“‘Order Statistics’ Tag”,2019-10-09 (probability theory)⁠:

Bibliography for tag statistics/order, most recent first: 2 related tags, 80 annotations, & 21 links (parent).

• See Also
• Gwern
  • “Statistical Notes”, Gwern2014
  • “Open Questions”, Gwern2018
  • “Calculating The Gaussian Expected Maximum”, Gwern2016
  • “Dog Cloning For Special Forces: Breed All You Can Breed”, Gwern2018
  • “Common Selection Scenarios”, Gwern2021
  • “Embryo Selection For Intelligence”, Gwern2016
  • “Genius Revisited Revisited”, Gwern2016
  • “The Explore-Exploit Dilemma in Media Consumption”, Gwern2016
  • “History of Iterated Embryo Selection”, Gwern2019
  • “Life Extension Cost-Benefits”, Gwern2015
  • “Conscientiousness & Online Education”, Gwern2012
  • “Leaky Pipelines”, Gwern2014
• Links
  • “The Number of ‘Exceptional’ People: Fewer Than 85 per 1 Million across Key Traits”, Gignac2025
  • “The Global Pattern of Centenarians Highlights Deep Problems in Demography”, Newman2024
  • “Variance Matters More Than Mean in the Extremes”, Cook2024
  • “The Hacker Who Hunts Video Game Speedrunning Cheaters”
  • “Scientific Productivity As a Random Walk”, Zhang et al 2023
  • “Is Target-Based Drug Discovery Efficient? Discovery and ‘Off-Target’ Mechanisms of All Drugs”, Sadri2023
  • “Power Law Trends in Speedrunning and Machine Learning”, Erdil & Sevilla2023
  • “Distinct Elements in Streams: An Algorithm for the (Text) Book”, Chakraborty et al 2023
  • “Scaling Laws for Reward Model Overoptimization”, Gao et al 2022
  • “Accurate Detection of Shared Genetic Architecture from GWAS Summary Statistics in the Small-Sample Context”, Willis & Wallace2022
  • “Predictive Validity in Drug Discovery: What It Is, Why It Matters and How to Improve It”, Scannell et al 2022
  • “What Was Not Said and What to Do About It”, Kuncel & Worrell2022
  • “Improving Graduate-School Admissions by Expanding Rather Than Eliminating Predictors”, Nye & Ryan2022
  • “Bias, Fairness, and Validity in Graduate-School Admissions: A Psychometric Perspective”, Woo et al 2022
  • “The Promise of Potential: A Study on the Effectiveness of Jury Selection to a Prestigious Visual Arts Program”, Kackovic et al 2022
  • “Effective Mutation Rate Adaptation through Group Elite Selection”, Kumar et al 2022
  • “Assessing the Response to Genomic Selection by Simulation”, Buntaran et al 2022
  • “On Extensions of Rank Correlation Coefficients to Multivariate Spaces”, Han2021
  • “A Review of the Gumbel-Max Trick and Its Extensions for Discrete Stochasticity in Machine Learning”, Huijben et al 2021
  • “Human Mortality at Extreme Age”, Belzile et al 2021
  • “On Boosting the Power of Chatterjee’s Rank Correlation”, Lin & Han2021
  • “Artificial Intelligence in Drug Discovery: What Is Realistic, What Are Illusions? Part 1: Ways to Make an Impact, and Why We Are Not There Yet: Quality Is More Important Than Speed and Cost in Drug Discovery”, Bender & Cortés-Ciriano2021
  • “Recipes and Economic Growth: A Combinatorial March Down an Exponential Tail”, Jones2021
  • “Counterproductive Altruism: The Other Heavy Tail”, Kokotajlo & Oprea2020
  • “A New Coefficient of Correlation: Supplementary Material: Proofs”, Chatterjee2020
  • “A New Coefficient of Correlation”, Chatterjee2020
  • “Supercentenarian and Remarkable Age Records Exhibit Patterns Indicative of Clerical Errors and Pension Fraud”, Newman2020
  • “A Simple Measure of Conditional Dependence”, Azadkia & Chatterjee2019
  • “Low Base Rates Prevented Terman from Identifying Future Nobelists”, Warne et al 2019
  • “Scale-Free Networks Are Rare”, Broido & Clauset2019
  • “Test Driving ‘Power of Two Random Choices’ Load Balancing”, Tarreau2019
  • “Right-Tail Range Restriction: A Lurking Threat to Detecting Associations between Traits and Skill among Experts”, Kell & Wai2019
  • “Nature vs. Nurture: Have Performance Gaps Between Men and Women Reached an Asymptote?”, Millard-Stafford et al 2018
  • “Categorizing Variants of Goodhart’s Law”, Manheim & Garrabrant2018
  • “Innovation and Cumulative Culture through Tweaks and Leaps in Online Programming Contests”, Miu et al 2018
  • “Is Individual Job Performance Distributed According to a Power Law? A Review of Methods for Comparing Heavy-Tailed Distributions”, Spain et al 2017
  • “When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis”, Scannell & Bosley2016
  • “Comparing the Pearson and Spearman Correlation Coefficients across Distributions and Sample Sizes: A Tutorial Using Simulations and Empirical Data”, Winter et al 2016
  • “Why the Tails Come Apart”, Thrasymachus2014
  • “The Discovery of First-In-Class Drugs: Origins and Evolution”, Eder et al 2014
  • “Spearman’s Rho for the AMH Copula: a Beautiful Formula”, Machler2014
  • “The Best And The Rest: Revisiting The Norm Of Normality Of Individual Performance”, O’Boyle & Aguinis2012
  • “A Copula-Based Non-Parametric Measure of Regression Dependence”, Dette et al 2012
  • “On the Distribution of Time-To-Proof of Mathematical Conjectures”, Hisano & Sornette2012
  • “How Were New Medicines Discovered?”, Swinney & Anthony2011
  • “A New Car-Following Model Yielding Log-Normal Type Headways Distributions”, Li et al 2010
  • “Power-Law Distributions in Empirical Data”, Clauset et al 2007
  • “The Major Role of Clinicians in the Discovery of Off-Label Drug Therapies”, DeMonaco et al 2006
  • “Copula Associated to Order Statistics”, Anjos et al 2005
  • “Computing the Distribution and Expected Value of the Concomitant Rank-Order Statistics”, Barakat & El-Shandidy2004
  • “Accurate Approximation to the Extreme Order Statistics of Gaussian Samples”, Chen & Tyler1999
  • “Research, Patenting, and Technological Change”, Kortum1997
  • “Seeing The Forest From The Trees: When Predicting The Behavior Or Status Of Groups, Correlate Means”, Lubinski & Humphreys1996b
  • “The Relevance of Group Membership for Personnel Selection: A Demonstration Using Bayes’ Theorem”, Miller1994
  • “Validity of the GRE without Restriction of Range”, Huitema & Stein1993
  • “Fairness in Employment Testing: Validity Generalization, Minority Issues, and the General Aptitude Test Battery”, Hartigan & Wigdor1989
  • “Maxima of Normal Random Vectors: Between Independence and Complete Dependence”, Hüsler & Reiss1989
  • “Forecasting Records by Maximum Likelihood”, Smith1988
  • “The Asymptotic Theory of Extreme Order Statistics, Second Edition”, Galambos1987
  • “An Examination of Two Alternative Techniques to Estimate the Standard Deviation of Job Performance in Dollars”, Reilly & Smither1985
  • “Expected Normal Order Statistics (Exact and Approximate)”, Royston1982
  • “Impact of Valid Selection Procedures on Work-Force Productivity”, Schmidt et al 1979
  • “How Deviant Can You Be?”, Samuelson1968
  • “Asymptotic Independence of Certain Statistics Connected With the Extreme Order Statistics in a Bivariate Distribution”, Srivastava1967
  • “Estimating Bounds on Athletic Performance”, Deakin1967
  • “Asymptotic Independence of Bivariate Extremes”, Mardia1964
  • “Expected Values of Normal Order Statistics”, Harter1961
  • “Bivariate Extreme Statistics, I”, Sibuya1960
  • “Statistical Estimates and Transformed Beta-Variables”, Blom1958
  • “On the Statistics of Individual Variations of Productivity in Research Laboratories”, Shockley1957
  • “The Asymptotical Distribution of Range in Samples from a Normal Population”, Elfving1947
  • “The Relationship Of Validity Coefficients To The Practical Effectiveness Of Tests In Selection: Discussion And Tables”
  • “Statistical Method”, Kelley1923
  • “How Many Hottest Days of the Year (So Far)?”
  • “What Does It Mean to Have a Low R-Squared? A Warning about Misleading Interpretation”
  • “Approximate Order Statistics for Normal Random Variables”
  • “Univariate Distributional Analysis With L-Moment Statistics Using R”
  • “Modelling a Time Series of Records With PyMC3”
  • “Rényi’s Parking Constant”
  • “Analyzing DeepMind’s Probabilistic Methods for Evaluating Agent Capabilities”
  • Wikipedia
• Miscellaneous
• Bibliography