《读博笔记》JF2022: Predictably Unequal? The Effects of Machine Learning on Credit Markets RookieQuant PhD finance at WBS6 人赞同了该文章 很多人都对machine learning在business里面的应用很感兴趣。然而这几年我读过大量这个领域的literature, 发现很多文章就是使用machine learning替代传统OLS来进行预测,比如...
参考文献 Athey 和 Imbens(2015),Machine learning methods for estimating heterogeneous causal effects.stat Foster(2013),Ph.D. thesis (The University of Michigan) Green 和 Kern(2012),Modeling heterogeneous treatment effects in survey experiments with Bayesian additive regression trees.Public Opinion Quarterl...
Double/debiased machine learningMachine learningTargeted minimum loss-based estimationIn recent decades, the fields of statistical and machine learning have seen a revolution in the development of data-adaptive regression methods that have optimal performance under flexible, sometimes minimal, assumptions on...
We propose a basic measure of cross-category disparity, and find that the machine learning models perform worse on this measure than logit models, especially on the intensive margin. We discuss the implications of our findings for mortgage policy. 展开 ...
have the right to gain information about the logic behind the machine learning model, and be able to deny the usage of automated decision-making for her, if the machine learning models produce legal effects that significantly affect the individual. ...
MachineIdOfMachineName ICredentialProviderFilter IInputObject ShellUIHelper PROPID_M_ABORT_COUNT Rich Edit Controls ActivityCollection.System.Collections.Generic.ICollection<System.Workflow.ComponentModel.Activity>.Add Method (System.Workflow.ComponentModel) MSMQDestination.FormatName EventHandlersActivity.System....
Li, Z. (2024). GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models. Annals of the American Association of Geographers. Open access at:https://www.tandfonline.com/doi/full/10.1080/24694452.2024.2350982 ...
the upper quartile (Q3), median, and lower quartile (Q1), respectively. The ends of the whiskers represent the minimum and maximum values in the data set. The 5-fold cross–validation in scikit-learn package is used to test the ability of machine learning models to predict sgRNA efficiency...
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(2007).Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data. Statistical Science, 22(4), 523–539. Knaus, M. C., Lechner, M., & Strittmatter, A. (2019).Machine Learning Estimation of Heterogeneous Causal Effects: Empirical ...