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Stepwise Normalization of Two-Channel Spotted Microarrays

Xiao, Yuanyuan; Segal, Mark; Yang, Yee Hwa - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 4-4

amounts and types of such variations are observed in different arrays. Although various normalization methods have been … for different arrays and data sets. To address this issue, we present a novel normalization technique, STEPNORM, for data …-dependent and adaptive normalization of two-channel spotted microarrays. STEPNORM performs a stepwise interrogation of a range of …

Persistent link: https://www.econbiz.de/10005246456

Upward and Downward Bias When Measuring Inequality of Opportunity

Brunori, Paolo; Peragine, Vito; Serlenga, Laura - 2018

Estimates of the level of inequality of opportunity have traditionally been interpreted as lower bounds due to the downward bias resulting from the partial observability of circumstances that affect individual outcome. We show that such estimates may also suffer from upward bias as a consequence...

Persistent link: https://www.econbiz.de/10011873409

Asymptotic optimality of full cross-validation for selecting linear regression models

Droge, Bernd - 1997

For the problem of model selection, full cross-validation has been proposed as alternative criterion to the traditional cross-validation, particularly in cases where the latter one is not well defined. To justify the use of the new proposal we show that under some conditions, both criteria share...

Persistent link: https://www.econbiz.de/10010310761

A comparison of machine learning model validation schemes for non-stationary time series data

Schnaubelt, Matthias - 2019

Machine learning is increasingly applied to time series data, as it constitutes an attractive alternative to forecasts based on traditional time series models. For independent and identically distributed observations, cross-validation is the prevalent scheme for estimating out-of-sample...

Persistent link: https://www.econbiz.de/10012142940