by Summary:
Andrew Gelman takes a look at the noise.Statistical Modeling, Causal Inference, and Social Science2 perspectives on the relevance of social science to our current predicament: (1) social scientists should back off, or (2) social science has a lot to offerAndrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
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Mike Norman considers the following as important:
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Andrew Gelman takes a look at the noise.Statistical Modeling, Causal Inference, and Social Science2 perspectives on the relevance of social science to our current predicament: (1) social scientists should back off, or (2) social science has a lot to offerAndrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University
Topics:
Mike Norman considers the following as important:
This could be interesting, too:
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Statistical Modeling, Causal Inference, and Social Science
2 perspectives on the relevance of social science to our current predicament: (1) social scientists should back off, or (2) social science has a lot to offer
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University