Jonathan Hersh
Economics and Econometrics · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 6 citations into it
- Statistics and Probability — 6 citations into it
- Artificial Intelligence — 5 citations into it
- Sociology and Political Science — 5 citations into it
Whom Jonathan Hersh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jonathan Hersh's perspective
Ordered by how strongly the researchers Jonathan Hersh trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Regression Shrinkage and Selection via the Lasso
- Histograms of oriented gradients for human detection
- Notes on the OpenSURF Library
- Beyond prediction: Using big data for policy problems
- Big Data: New Tricks for Econometrics
- Micro-Level Estimation of Poverty and Inequality
- A Shapley-based decomposition of the R-Square of a linear regression
- Theory of communication. Part 1: The analysis of information
- MEASURING ECONOMIC GROWTH FROM OUTER SPACE (The American Economic Review)