Sara Taskinen

Approximating prediction error variances and reliabilities in a multiple-trait genomic prediction model using Monte Carlo sampling

Abstract Key message We evaluated four existing Monte Carlo-based methods for approximating prediction error variances and reliabilities in a multiple-trait genomic prediction model. All four methods yielded consistent approximations of the exact values. Abstract Genomic predicti...

Time‐Aware UNet and Super‐Resolution Deep Residual Networks for Spatial Downscaling

ABSTRACT Satellite observations of atmospheric pollutants are often available only at coarse spatial resolution, which limits their use in local‐scale environmental analysis. Spatial downscaling methods aim to transform such data into high‐resolution fields. In this work, two wid...