Literature DB >> 9724709

A recipe for randomness.

S Pincus, B H Singer.   

Abstract

Despite many diverse theories that address closely related themes-e. g., probability theory, algorithmic complexity, cryptoanalysis, and pseudorandom number generation-a near-void remains in constructive methods certified to yield the desired "random" output. Herein, we provide explicit techniques to produce broad sets of both highly irregular finite and normal infinite sequences, based on constructions and properties derived from approximate entropy (ApEn), a computable formulation of sequential irregularity. Furthermore, for infinite sequences, we considerably refine normality, by providing methods for constructing diverse classes of normal numbers, classified by the extent to which initial segments deviate from maximal irregularity.

Entities:  

Year:  1998        PMID: 9724709      PMCID: PMC27900          DOI: 10.1073/pnas.95.18.10367

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

1.  Not all (possibly) "random" sequences are created equal.

Authors:  S Pincus; R E Kalman
Journal:  Proc Natl Acad Sci U S A       Date:  1997-04-15       Impact factor: 11.205

2.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

3.  Randomness and degrees of irregularity.

Authors:  S Pincus; B H Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1996-03-05       Impact factor: 11.205

  3 in total
  5 in total

1.  Irregularity, volatility, risk, and financial market time series.

Authors:  Steve Pincus; Rudolf E Kalman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-09       Impact factor: 11.205

2.  Modeling the Nonlinear Time Dynamics of Multidimensional Hormonal Systems.

Authors:  Daniel M Keenan; Xin Wang; Steven M Pincus; Johannes D Veldhuis
Journal:  J Time Ser Anal       Date:  2012-06-21       Impact factor: 1.366

3.  A zoo of computable binary normal sequences.

Authors:  Steve Pincus; Burton H Singer
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-02       Impact factor: 11.205

4.  Higher-order dangers and precisely constructed taxa in models of randomness.

Authors:  Steve Pincus; Burton H Singer
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-31       Impact factor: 11.205

5.  True Randomness from Big Data.

Authors:  Periklis A Papakonstantinou; David P Woodruff; Guang Yang
Journal:  Sci Rep       Date:  2016-09-26       Impact factor: 4.379

  5 in total

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