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Trevor Chi-Yuen Tao

Biographic Data

ID4163945
NAMETrevor Chi-Yuen Tao
GIVEN NAMESTrevor Chi-Yuen
FAMILY NAMETao
SIGNATURETAO T C
AFFILIATIONSDefence Science and Technology Group
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2016
H-INDEX1
  • An improved MCMC algorithm for generating random graphs from constrained distributions

    Open Access•Trevor Chi-Yuen Tao, TREVOR TAO•ARTICLE•Network Science•2016•Cited by: 1•References: 6

    We consider the problem of generating uniformly random graphs from a constrained distribution. A graph is valid if it obeys certain constraints such as a given number of nodes, edges, k -stars or degree sequence, and each graph must occur with equal probability. A typical application is to confirm the correctness of a model by repeated sampling and comparing statistical properties against empirical data. Markov Chain Monte Carlo (MCMC) algorithms…

  • An improved MCMC algorithm for generating random graphs from constrained distributions

    Open Access•Trevor Chi-Yuen Tao, TREVOR TAO•ARTICLE•Network Science•2016•Cited by: 1•References: 6

    We consider the problem of generating uniformly random graphs from a constrained distribution. A graph is valid if it obeys certain constraints such as a given number of nodes, edges, k -stars or degree sequence, and each graph must occur with equal probability. A typical application is to confirm the correctness of a model by repeated sampling and comparing statistical properties against empirical data. Markov Chain Monte Carlo (MCMC) algorithms…

  • An improved MCMC algorithm for generating random graphs from constrained distributions

    Open Access•Trevor Chi-Yuen Tao, TREVOR TAO•ARTICLE•Network Science•2016•Cited by: 1•References: 6

    We consider the problem of generating uniformly random graphs from a constrained distribution. A graph is valid if it obeys certain constraints such as a given number of nodes, edges, k -stars or degree sequence, and each graph must occur with equal probability. A typical application is to confirm the correctness of a model by repeated sampling and comparing statistical properties against empirical data. Markov Chain Monte Carlo (MCMC) algorithms…

Algorithm (1 work) · Combinatorics (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Correctness (1 work) · Graph (1 work) · Markov chain Monte Carlo (1 work) · Markov Chains and Monte Carlo Methods (1 work) · Mathematical optimization (1 work) · Mathematics (1 work)

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