박사

Kernel Methods for Unimodality Test

이선미 2015년
논문상세정보
' Kernel Methods for Unimodality Test' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • density estimation
  • dip test
  • excess mass test
  • kernel methods
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
15 0

0.0%

' Kernel Methods for Unimodality Test' 의 참고문헌

  • Y.-B. Chan and P. Hall. Using evidence of mixed populations to select variables for clustering very high-dimensional data. Journal of the American Statistical Association, 105(490):798{809, 2010.
  • W. Romanishin, S. C. Tegler, and G. J. Consolmagno. Colors of inner disk classical kuiper belt objects. The Astronomical Journal, 140(1):29{33, 2010.
  • S. J. Sheather and M. C. Jones. A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society, Series B, 53(3):683{690, 1991.
  • P. Hall and M. York. On the calibration of silverman's test for multimodality. Statistica Sinica, 11:515{536, 2001.
  • N. Peixinho, A. Doressoundiram, A. Delsanti, H. Boehnhardt, A. Barucci, and I. Belskaya. Reopening the TNOs color controversy: Centaurs bimodality and TNOs unimodality. Astronomy & Astrophysics, 410(3):L29{L32, 2003.
  • N. Peixinho, A. Delsanti, A. Guilbert-Lepoutre, R. Gafeira, and P. Lacerda. The bimodal colors of centaurs and small kuiper belt objects. Astronomy & Astrophysics, 546:A86, 2012.
  • N. Altman and C. Leger. Bandwidth selection for kernel distribution function estimation. Journal of Statistical Planning and Inference, 46(2):195{214, 1995.
  • M. Y. Cheng and P. Hall. On mode testing and empirical approximations to distributions. Statistics & Probability Letters, 39(3):245{254, 1998b.
  • M. Y. Cheng and P. Hall. Calibrating the excess mass and dip tests of modality. Journal of the Royal Statistical Society, Series B, 60(3):579{589, 1998a.
  • L. Devroye and L. Gyor. Nonparametric Density Estimation: the L1 view. Wiley, 1985.
  • J. Komlos, P. Major, and G. Tusnady. An approximation of partial sums of independent RV'-s, and the sample DF.I. Zeitschrift fur Wahrscheinlichkeitstheorie und Verwandte Gebiete, 32(1-2):111{131, 1975.
  • J. A. Hartigan and P. M. Hartigan. The dip test of unimodality. The Annals of Statistics, 13(1):70{84, 1985.
  • E. Mammen, J. S. Marron, and N. I. Fisher. Some asymptotics for multimodality tests based on kernel density estimates. Probability Theory and Related Fields, 91(1):115{132, 1992.
  • E. D. Feigelson and G. J. Babu. Modern Statistical Methods for Astronomy With R Applications. Cambridge, 2012. E. Gine and R. Nickl. An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation. Probability Theory and Related Fields, 143(3-4):569{596, 2009.
  • D. W. Muller and G. Sawitzki. Excess mass estimates and tests for multimodality. Journal of the American Statistical Association, 86(415):738{746, 1991.
  • D. R. Cox. Notes on the analysis of mixed frequency distributions. British Journal of Mathematical and Statistical Psychology, 19(1):39{47, 1966.
  • D. A. Levin, Y. Peres, and E. L. Wilmer. Markov Chains and Mixing Times. American Mathematical Society, 2008.
  • B. U. Park and J. S. Marron. Comparison of data-driven bandwidth selectors. Journal of the American Statistical Association, 85(409):66{72, 1990.