114 citations · 122 across the 3 of their papers we have counts for
3 papers
Multiple Output Regression with Latent Noise
Jussi Gillberg, Pekka Marttinen, Matti Pirinen +7
In high-dimensional data, structured noise caused by observed and unobserved factors affecting multiple target variables simultaneously, imposes a serious challenge for modeling, b…
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects
Jussi Gillberg, Pekka Marttinen, Matti Pirinen +5
We consider the prediction of weak effects in a multiple-output regression setup, when covariates are expected to explain a small amount, less than , of the variance of…
Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
Matti Pirinen, Peter Donnelly, Chris C. A. Spencer
Motivated by genome-wide association studies, we consider a standard linear model with one additional random effect in situations where many predictors have been collected on the s…