Titlebook: Econometrics with Machine Learning; Felix Chan,László Mátyás Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

充滿人

領(lǐng)巾

Consequence

Fairness in Machine Learning and Econometrics,gates individual characteristics of the observations of the learning sample. But this information aggregation does not consider any potential selection on unobservables and any status quo biases which may be contained in the training sample. The latter bias has raised concerns around the so-called .

amygdala

索賠

Poverty, Inequality and Development Studies with Machine Learning,lopment (PID) studies. It proposes a novel taxonomy to classify the contributions of ML methods and new data sources used in this field. Contributions lie in two main categories. The first is making available better measurements and forecasts of PID indicators in terms of frequency, granularity, and

opinionated

orient

濃縮

Clare Kosnik,Pooja Dharamshi,Lydia Mennaust a few steps on a dry, insulative carpet. Static electricity can also cause the slip (or shirt) to cling to your body, computers to go down, fibers to filter, or tankers to explode. But it is also by use of static electric effects that we can clean the smoke from power plants, make photocopies or