1988
DOI: 10.1016/s0169-7161(88)07022-1
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20 Nonparametric methods for changepoint problems

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Cited by 80 publications
(48 citation statements)
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“…The problem in question is known by a variety of names ( Table 2) [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Computer analysis [28][29][30][31], elimination of outliers [32,33], and confidence limits for the abscissa [22,34,35] have been subject to study.…”
Section: Independent Values Of Chemical Quantities Expressed In Si Unmentioning
confidence: 99%
“…The problem in question is known by a variety of names ( Table 2) [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Computer analysis [28][29][30][31], elimination of outliers [32,33], and confidence limits for the abscissa [22,34,35] have been subject to study.…”
Section: Independent Values Of Chemical Quantities Expressed In Si Unmentioning
confidence: 99%
“…Following the literature on change point detection (see for e.g. [11] or [4]), the model proposed by Benassi and Deguy is At Most One Change (AMOC), whether this of Bardet and Bertrand admits a spectral density with More Than One Change. It is well known in the statistical community working on abrupt change detection that there is a gap between AMOC and More Than One Change problems.…”
Section: The Multi-scale Fractional Brownian Motionmentioning
confidence: 99%
“…As alter- natives, non-parametric methods such as kernel density estimation (Csörgö and Horváth, 1988;Brodsky and Darkhovsky, 1993) are designed with no particular parametric assumption. However, they tend to be less accurate in high-dimensional problems because of the so-called curse of dimensionality (Bellman, 1961;Vapnik, 1998).…”
Section: Introductionmentioning
confidence: 99%