베이지안 통계의 역사와 미래에 대한 조망

' 베이지안 통계의 역사와 미래에 대한 조망' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • bayesian statistics
  • thefutureofstatistics
  • thomasbayes
  • 베이지안 통계
  • 토마스베이즈
  • 통계의미래
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
25 0

0.0%

' 베이지안 통계의 역사와 미래에 대한 조망' 의 참고문헌

  • Understanding GPU programming for statistical computation: Studies in massively parallel massive mixtures
    Suchard, M. A. Journal of Computational and Graphical Statistics 19 : 419 ~ 438 [2010]
  • Theory of Probability
  • The most-cited statistical papers
    Ryan, T. P. Journal of Applied Statistics 32 : 461 ~ 474 [2005]
  • The future of statistics
    Efron, B. Amstat News 363 : 47 ~ 50 [2009]
  • The Theory that Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, & Emerged Triumphant from Two Centuries of Controversy
    McGrayne, S. B. Yale University Press [2011]
  • The Foundations of Statistics
    Savage, L. J. John Wiley and Sons, Inc [1954]
  • Sur la condition d'equivalence partielle
    De Finetti, B. Actualites Scientifiques et Industrielles (739) [1938]
  • Statistics and science: A report of the london workshop on the future of the statistical sciences
  • Scalable and robust Bayesian inference via the median posterior
    Minsker, S. Proceedings of the 31st International Conference on Machine Learning (ICML-14) : 1656 ~ 1664 [2014]
  • Sampling-based approaches to calculating marginal densities
    Gelfand, A. E. Journal of the American Statistical Association 85 : 398 ~ 409 [1990]
  • Reference posterior distributions for Bayesian inference
    Bernardo, J. M. Journal of the Royal Statistical Society: Series B(Statistical Methodological) : 113 ~ 147 [1979]
  • Philosophical Theories of Probability
    Gillies, D. Psychology Press [2000]
  • Philosophical Essays Concerning Human Understanding
    Hume, D. Andrew Millar [1748]
  • On some aspects of the theory of probability
    Wrinch, D. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 38 : 715 ~ 731 [1919]
  • Memoire sur la probabilite des causes par les evenements
    Laplace, P. l'Academie Royale des Sciences 6 : 621 ~ 656 [1774]
  • Locally adaptive Bayes nonparametric regression via nested Gaussian processes
    Zhu, B. Journal of the American Statistical Association 108 : 1445 ~ 1456 [2013]
  • Introduction to probability and statistics from Bayesian viewpoint, Part 2 inference
  • Bayesian analysis: A look at today and thoughts of tomorrow
    Berger, J. O. Journal of the American Statistical Association 95 : 1269 ~ 1276 [2000]
  • An essay towards solving a problem in the doctrine of chances : 370 ~ 418
    Bayes, T. [1763]
  • A scalable bootstrap for massive data
    Kleiner, A. Journal of the Royal Statistical Society: Series B(Statistical Methodology) 76 : 795 ~ 816 [2014]