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Power law

  • Power-Law Distributions in Empirical Data

    Power-Law Distributions in Empirical Data

  • Black Swans, Dragons-Kings and Prediction

    Black Swans, Dragons-Kings and Prediction

  • Time-Varying Volatility and the Power Law Distribution of Stock Returns

    Time-Varying Volatility and the Power Law Distribution of Stock Returns

  • Dragon-Kings the Nature of Extremes, Sta�S�Cal Tools of Outlier Detec�On, Genera�Ng Mechanisms, Predic�On and Control Didier SORNETTE Professor Of

    Dragon-Kings the Nature of Extremes, StaSCal Tools of Outlier DetecOn, GeneraNg Mechanisms, PredicOn and Control Didier SORNETTE Professor Of

  • Super Generalized Central Limit Theorem: Limit Distributions for Sums of Non-Identical Random Variables with Power-Laws

    Super Generalized Central Limit Theorem: Limit Distributions for Sums of Non-Identical Random Variables with Power-Laws

  • Power Laws, Part I

    Power Laws, Part I

  • Estimation of the Scale Parameter of a Power Law Process Using Power Law Counts

    Estimation of the Scale Parameter of a Power Law Process Using Power Law Counts

  • Dragon-Kings and Predictions Diagnostics and Forecasts for the World Financial Crisis

    Dragon-Kings and Predictions Diagnostics and Forecasts for the World Financial Crisis

  • A Brief History of Lognormal and Power Law Distributions and an Application to File Size Distributions

    A Brief History of Lognormal and Power Law Distributions and an Application to File Size Distributions

  • Interpreting Power Laws

    Interpreting Power Laws

  • More Mechanisms for Generating Power-Law Distributions

    More Mechanisms for Generating Power-Law Distributions

  • Fitting to the Power-Law Distribution

    Fitting to the Power-Law Distribution

  • Parameter Estimation for Power-Law Distributions by Maximum Likelihood Methods

    Parameter Estimation for Power-Law Distributions by Maximum Likelihood Methods

  • Exponential Or Power Law? How to Select a Stable Distribution of Probability in a Physical System †

    Exponential Or Power Law? How to Select a Stable Distribution of Probability in a Physical System †

  • Power-Law Distributions Based on Exponential Distributions: Latent Scaling, Spurious Zipf’S Law, and Fractal Rabbits

    Power-Law Distributions Based on Exponential Distributions: Latent Scaling, Spurious Zipf’S Law, and Fractal Rabbits

  • Dragon-Kings, Black Swans and the Prediction of Crises

    Dragon-Kings, Black Swans and the Prediction of Crises

  • Universality of Power-Law Exponents by Means of Maximum-Likelihood Estimation

    Universality of Power-Law Exponents by Means of Maximum-Likelihood Estimation

  • An Optimization-Based Generative Model of Power Laws Using a New Information Theory Based Metric

    An Optimization-Based Generative Model of Power Laws Using a New Information Theory Based Metric

Top View
  • Fitting Power-Law Distributions to Data
  • A Brief History of Generative Models for Power Law and Lognormal Distributions Michael Mitzenmacher
  • 1 Power-Law Distributions
  • On Estimating the Exponent of Power-Law Frequency Distributions
  • 9 Power Laws
  • The Role of the Central Limit Theorem in the Heterogeneous Ensemble of Brownian Particles Approach
  • Emergence of Power Laws with Different Power-Law Exponents From
  • Not All Distributions Are Power Laws
  • 1. Taylor's Power
  • Power Laws in Economics and Elsewhere
  • Power-Law and Log-Normal Distributions in Temporal Changes of Firm-Size Variables
  • The Statistics of Super-Emitters: Modeling Heavy-Tailed Datasets As Power Laws
  • Power Laws, Pareto Distributions and Zipf's Law
  • Power-Law Distributions in Empirical Data 663
  • The Discretised Lognormal and Hooked Power Law Distributions For
  • Dragon-Kings: Mechanisms, Criticality” Introduced in Bak Et Al
  • Power Laws in Economics: an Introduction
  • Black Swans, Dragons-Kings and Prediction


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