Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works
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- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2020. "Simple Local Polynomial Density Estimators," University of California at San Diego, Economics Working Paper Series qt9vt997qn, Department of Economics, UC San Diego.
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- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020.
"Simple Local Polynomial Density Estimators,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
- Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Simple Local Polynomial Density Estimators," Papers 1811.11512, arXiv.org, revised Jun 2019.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2020. "Simple Local Polynomial Density Estimators," Department of Economics, Working Paper Series qt9vt997qn, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Cattaneo, Matias D & Jansson, Michael & Ma, Xinwei, 2020. "Simple Local Polynomial Density Estimators," University of California at San Diego, Economics Working Paper Series qt9vt997qn, Department of Economics, UC San Diego.
- Gao Wang & Abhishek Sarkar & Peter Carbonetto & Matthew Stephens, 2020. "A simple new approach to variable selection in regression, with application to genetic fine mapping," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1273-1300, December.
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- Adelaida Ojeda-Beltrán & Andrés Solano-Barliza & Wilson Arrubla-Hoyos & Danny Daniel Ortega & Dora Cama-Pinto & Juan Antonio Holgado-Terriza & Miguel Damas & Gilberto Toscano-Vanegas & Alejandro Cama-, 2023. "Characterisation of Youth Entrepreneurship in Medellín-Colombia Using Machine Learning," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
- Khishigsuren Davagdorj & Ling Wang & Meijing Li & Van-Huy Pham & Keun Ho Ryu & Nipon Theera-Umpon, 2022. "Discovering Thematically Coherent Biomedical Documents Using Contextualized Bidirectional Encoder Representations from Transformers-Based Clustering," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
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data mining; state of the art; statistical methods; machine learning; statistical learning; deep learning;All these keywords.
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