Hi,
I have data from two very different sources (bird counts from ships and bird counts from the shore) which aim to estimate the same population/outcome. Both data have different covariates/predictors and thus it is difficult to combine both data in the same regression model.
Does somebody know which methods exist to combine both data in order to estimate the same outcome? I know a little bit about model averaging / machine learning techniques, but are there alternatives? I would really like to use both data within the same model.
Thanks!
I have data from two very different sources (bird counts from ships and bird counts from the shore) which aim to estimate the same population/outcome. Both data have different covariates/predictors and thus it is difficult to combine both data in the same regression model.
Does somebody know which methods exist to combine both data in order to estimate the same outcome? I know a little bit about model averaging / machine learning techniques, but are there alternatives? I would really like to use both data within the same model.
Thanks!