Search Results - subject:"Synthetic datasets"

Accuracy of explanations of machine learning models for credit decisions

Alonso, Andrés; Carbó, José Manuel - 2022

Persistent link: https://www.econbiz.de/10013389619

Using large language models to generate silicon samples in consumer and marketing research : challenges, opportunities, and guidelines

Sarstedt, Marko; Adler, Susanne; Rau, Lea; Schmitt, Bernd - In: Psychology & marketing 41 (2024) 6, pp. 1254-1270

Persistent link: https://www.econbiz.de/10014531212

The sources and methods used in the creation of the Levy Institute Measure of Economic Well-Being for the United States, 1959-2013

Zacharias, Ajit; Masterson, Thomas; Rios-Avila, Fernando - 2018

This paper documents the sources of data used in the construction of the estimates of the Levy Institute Measure of Economic Wellbeing (LIMEW) for the years 1959, 1972, 1982, 1989, 1992, 1995, 2000, 2001, 2004, 2007, 2010, and 2013. It also documents the methods used to combine the various...

Persistent link: https://www.econbiz.de/10012142959

The sources and methods used in the creation of the Levy Institute Measure of Economic Well-Being for the United States, 1959-2013

Zacharias, Ajit; Masterson, Thomas; Rios-Avila, Fernando - 2018

Persistent link: https://www.econbiz.de/10011894032

A new approach for disclosure control in the IAB Establishment Panel : multiple imputation for a better data access

Drechsler, Jörg; Dundler, Agnes; Bender, Stefan; … - 2007

................................................................... 6 2.1 Multiple Imputation for Missing Data............................................ 6 2.2 Fully Synthetic Datasets … .....................................................10 4 Application to the IAB Establishment Panel ..................................11 4.1 Generating Synthetic datasets … the Fully Synthetic Datasets....................................15 6 Assessing the Disclosure Risk …

Persistent link: https://www.econbiz.de/10003423883

Accuracy of explanations of machine learning models for credit decisions

Alonso, Andrés; Carbó Martinez, José Manuel

Uno de los principales retos en el uso de modelos de aprendizaje automático, o machine learning en inglés (ML), en finanzas es cómo explicar sus resultados. Recientemente han aparecido técnicas de interpretabilidad con este objetivo, pero existe discusión sobre su fiabilidad. En este...

Persistent link: https://www.econbiz.de/10013267753