연구동향 분석

Evolutionary Monte Carlo EM for Change Point Analysis

전수영 2019년

논문상세정보
인용/피인용
' Evolutionary Monte Carlo EM for Change Point Analysis' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Markov chain Monte Carlo
  • change-point problem
  • evolutionary Monte Carlo.
  • expectation-maximization
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
38 0

0.0%

' Evolutionary Monte Carlo EM for Change Point Analysis' 의 참고문헌

  • 로지스틱 회귀모형에서 SAMCIS 알고리즘을 이용한 정확추론
    강효은 [2018]
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  • Tools for statistical inference: methods for the exploration of posterior distributions and likelihood functions
  • Stochastic approximation in Monte Carlo computation
    Liang, F. [2007]
  • Stochastic approximation Monte Carlo EM for change-point analysis
    Lim, H. K. [2017]
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  • Optimization by simulated annealing
  • Monte Carlo sampling methods using Markov chains and their applications
  • Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society
  • Maximum likelihood estimation via the ECM algorithm : a general framework
    Meng, X. L. [1993]
  • Maximum likelihood algorithms for generalized linear mixed models
  • MCEM을 이용한 정규혼합분포 추정
    이승찬 [2017]
  • Explaining the Gibbs sampler
    Casella, G. [1992]
  • Evolutionary Monte Carlo applications to Cp model sampling and change point problem
    Liang, F. [2000]
  • Equations of state calculations by fast computing machines
  • Coupling a stochastic approximation version of EM with an MCMC procedure
    Kuhn, E. [2004]
  • Convergence of a stochastic approximation version of the EM algorithm
    Delyon, B. [1999]
  • Comparative analysis of algorithms for identifying amplifications and deletions in array CGH data
    Lai, W. R. [2005]
  • Changepoint: An R package for changepoint analysis
    Killick, R. [2014]
  • Bayesian Regime-switching Analysis via Stochastic Approximation Monte Carlo
    전수영 [2011]
  • Applications to Bayesian Model Selection Problems via Stochastic Approximation Monte Carlo
    전수영 [2008]
  • An application of MCMC methods for the multiple change-points problem
  • Adaptation in Natural and Artificial Systems