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Boswijk, P and Francq, C and Hallin, M and Taylor, AMR (2016) Editorial - Special issue on time series econometrics. Computational Statistics & Data Analysis, 100. pp. 631-632.

Adler, W and Brenning, A and Potapov, S and Schmid, M and Lausen, B (2011) Ensemble classification of paired data. Computational Statistics & Data Analysis, 55 (5). pp. 1933-1941. DOI https://doi.org/10.1016/j.csda.2010.11.017

Adler, W and Lausen, B (2009) Bootstrap estimated true and false positive rates and ROC curve. Computational Statistics & Data Analysis, 53 (3). pp. 718-729. DOI https://doi.org/10.1016/j.csda.2008.09.023

Coakley, J and Dollery, J and Kellard, NM (2008) The role of long memory in hedging effectiveness. Computational Statistics & Data Analysis, 52 (6). pp. 3075-3082. DOI https://doi.org/10.1016/j.csda.2007.10.019

Hothorn, T and Lausen, B (2005) Bundling classifiers by bagging trees. Computational Statistics & Data Analysis, 49 (4). pp. 1068-1078. DOI https://doi.org/10.1016/j.csda.2004.06.019

Peters, A and Hothorn, T and Lausen, B (2005) Generalised indirect classifiers. Computational Statistics & Data Analysis, 49 (3). pp. 849-861. DOI https://doi.org/10.1016/j.csda.2004.06.008

Hothorn, T and Lausen, B (2003) On the Exact Distribution of Maximally Selected Rank Statistics. Computational Statistics & Data Analysis, 43 (2). pp. 121-137. DOI https://doi.org/10.1016/s0167-9473(02)00225-6

Lausen, B and Schumacher, M (1996) Evaluating the effect of optimized cutoff values in the assessment of prognostic factors. Computational Statistics & Data Analysis, 21 (3). pp. 307-326. DOI https://doi.org/10.1016/0167-9473(95)00016-x