Testing equality of a large number of densities under mixing conditions
Author:
Funder
Ministerio de Economía y Competitividad
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s11749-018-00625-3/fulltext.html
Reference22 articles.
1. Bücher A, Kojadinovic I (2016a) A dependent multiplier bootstrap for the sequential empirical copula process under strong mixing. Bernoulli 22:927–968
2. Bücher A, Kojadinovic I (2016b) Dependent multiplier bootstrap for non-degenerate $$U$$ U -statistics under mixing conditions with applications. J Stat Plan Inference 170:83–105
3. Bühlmann P (1993) The blockwise bootstrap in time series and empirical processes (Ph.D. thesis), ETH Zürich, Diss. ETH No. 10354
4. Cousido-Rocha M, de Uña-Álvarez J, Hart J (2018) Equalden.HD: testing the equality of a high dimensional set of densities. R package version 1.0. CRAN package repository: https://cran.r-project.org/web/packages/Equalden.HD/index.html
5. Dehling H, Wendler M (2010) Central limit theorem and the bootstrap for $$U$$ U -statistics of strongly mixing data. J Multivar Anal 101:126–137
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