Econometrics with Machine Learning
Econometrics with Machine Learning
Matyas, Laszlo; Chan, Felix
Springer International Publishing AG
09/2023
371
Mole
Inglês
9783031151514
15 a 20 dias
Descrição não disponível.
Linear Econometric Models with Machine Learning.- Nonlinear Econometric Models with Machine Learning.- The Use of Machine Learning in Treatment Effect Estimation.-Forecasting with Machine Learning Methods.-Causal Estimation of Treatment Effects From Observational Health Care Data Using Machine Learning Methods.- Econometrics of Networks with Machine Learning.- Fairness in Machine Learning and Econometrics.- Graphical Models and their Interactions with Machine Learning in the Context of Economics and Finance.- Poverty, Inequality and Development Studies with Machine Learning.- Machine Learning for Asset Pricing.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning and causality;Linear models;Non-linear models;Econometric forecasting and prediction;Policy evaluation;Network data;Poverty;Inequality;Machine learning in Finance;Empirical applications;Testing statistical hypotheses;Big data;Econometric techniques;Modelling macroeconomic relations;Discrete Choice models
Linear Econometric Models with Machine Learning.- Nonlinear Econometric Models with Machine Learning.- The Use of Machine Learning in Treatment Effect Estimation.-Forecasting with Machine Learning Methods.-Causal Estimation of Treatment Effects From Observational Health Care Data Using Machine Learning Methods.- Econometrics of Networks with Machine Learning.- Fairness in Machine Learning and Econometrics.- Graphical Models and their Interactions with Machine Learning in the Context of Economics and Finance.- Poverty, Inequality and Development Studies with Machine Learning.- Machine Learning for Asset Pricing.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning and causality;Linear models;Non-linear models;Econometric forecasting and prediction;Policy evaluation;Network data;Poverty;Inequality;Machine learning in Finance;Empirical applications;Testing statistical hypotheses;Big data;Econometric techniques;Modelling macroeconomic relations;Discrete Choice models