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
Topics:
Mike Norman considers the following as important:
This could be interesting, too:
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:
Robert Vienneau writes Austrian Capital Theory And Triple-Switching In The Corn-Tractor Model
Mike Norman writes The Accursed Tariffs — NeilW
Mike Norman writes IRS has agreed to share migrants’ tax information with ICE
Mike Norman writes Trump’s “Liberation Day”: Another PR Gag, or Global Reorientation Turning Point? — Simplicius
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