9 citations · 24 across the 12 of their papers we have counts for
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stat.ME2017★ 4 cited
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm)
Deniz Akdemir
Optimal subset selection is an important task that has numerous algorithms designed for it and has many application areas. STPGA contains a special genetic algorithm supplemented w…
stat.ME2014★ 4 cited
Training population selection for (breeding value) prediction
Deniz Akdemir
Training population selection for genomic selection has captured a great deal of interest in animal and plant breeding. In this article, we derive a computationally efficient stati…
stat.ME2012
Likelihood Estimation with Incomplete Array Variate Observations
Deniz Akdemir
Missing data is an important challenge when dealing with high dimensional data arranged in the form of an array. In this paper, we propose methods for estimation of the parameters…