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Fitting Segmented Regression Models by Grid Search

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Cited by:

  1. Yanyan Fan & Yu Zhang & Baosu Guo & Xiaoyuan Luo & Qingjin Peng & Zhenlin Jin, 2022. "A Hybrid Sparrow Search Algorithm of the Hyperparameter Optimization in Deep Learning," Mathematics, MDPI, vol. 10(16), pages 1-23, August.
  2. Binbing Yu & Lan Huang & Ram C. Tiwari & Eric J. Feuer & Karen A. Johnson, 2009. "Modelling population‐based cancer survival trends by using join point models for grouped survival data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 405-425, April.
  3. Ningcheng Wang & Yufan Liu & Jinzi Wang & Xingjian Qian & Xizhi Zhao & Jianping Wu & Bin Wu & Shenjun Yao & Lei Fang, 2019. "Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level: A Case in Shanghai, China," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
  4. Adham Alsharkawi & Mohammad Al-Fetyani & Maha Dawas & Heba Saadeh & Musa Alyaman, 2021. "Poverty Classification Using Machine Learning: The Case of Jordan," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
  5. Zinhle Mashaba-Munghemezulu & George Johannes Chirima & Cilence Munghemezulu, 2021. "Modeling the Spatial Distribution of Soil Nitrogen Content at Smallholder Maize Farms Using Machine Learning Regression and Sentinel-2 Data," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
  6. de Oliveira Nogueira, Tiago & Palacio, Gilderlânio Barbosa Alves & Braga, Fabrício Damasceno & Maia, Pedro Paulo Nunes & de Moura, Elineudo Pinho & de Andrade, Carla Freitas & Rocha, Paulo Alexandre C, 2022. "Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines," Energy, Elsevier, vol. 238(PC).
  7. Rodrigo R. Soares & Rudi Rocha & Michel Szklo, 2021. "American Delusion: Life Expectancy and Welfare in the US from an International Perspective," Working Papers 13, Instituto de Estudos para Políticas de Saúde.
  8. Fu, Hongxiang & Baltazar, Juan-Carlos & Claridge, David E., 2021. "Review of developments in whole-building statistical energy consumption models for commercial buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
  9. Bucarey, Víctor & Labbé, Martine & Morales, Juan M. & Pineda, Salvador, 2021. "An exact dynamic programming approach to segmented isotonic regression," Omega, Elsevier, vol. 105(C).
  10. J. Muñoz & E. Álvarez-Verdejo & R. García-Fernández & L. Barroso, 2015. "Efficient Estimation of the Headcount Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 713-732, September.
  11. Fabricio Esteban Espinoza-Molina & Christian Fernando Ojeda-Romero & Henry David Zumba-Paucar & Giovanny Pillajo-Quijia & Blanca Arenas-Ramírez & Francisco Aparicio-Izquierdo, 2021. "Road Safety as a Public Health Problem: Case of Ecuador in the Period 2000–2019," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
  12. Wang, Jianguo & Han, Lincheng & Zhang, Xiuyu & Wang, Yingzhou & Zhang, Shude, 2023. "Electrical load forecasting based on variable T-distribution and dual attention mechanism," Energy, Elsevier, vol. 283(C).
  13. Aziza Usmanova & Ahmed Aziz & Dilshodjon Rakhmonov & Walid Osamy, 2022. "Utilities of Artificial Intelligence in Poverty Prediction: A Review," Sustainability, MDPI, vol. 14(21), pages 1-39, October.
  14. Chen Huann-Sheng & Zeichner Sarah & Anderson Robert N. & Espey David K. & Kim Hyune-Ju & Feuer Eric J., 2020. "The Joinpoint-Jump and Joinpoint-Comparability Ratio Model for Trend Analysis with Applications to Coding Changes in Health Statistics," Journal of Official Statistics, Sciendo, vol. 36(1), pages 49-62, March.
  15. Ben Q. Liu & Dale L. Goodhue, 2012. "Two Worlds of Trust for Potential E-Commerce Users: Humans as Cognitive Misers," Information Systems Research, INFORMS, vol. 23(4), pages 1246-1262, December.
  16. Aalok Ranjan Chaurasia, 2020. "Long-Term Trend in Infant Mortality in India: A Joinpoint Regression Analysis for 1971–2018," Indian Journal of Human Development, , vol. 14(3), pages 394-406, December.
  17. Ghosh, Pulak & Huang, Lan & Yu, Binbing & Tiwari, Ram C., 2009. "Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4073-4082, October.
  18. Matúš Maciak & Ivan Mizera, 2016. "Regularization techniques in joinpoint regression," Statistical Papers, Springer, vol. 57(4), pages 939-955, December.
  19. Jonathan Readshaw & Stefano Giani, 2020. "Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations," Papers 2006.12426, arXiv.org.
  20. Lutz Bornmann & Rüdiger Mutz, 2015. "Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2215-2222, November.
  21. Tan, Xiujie & Dong, Hanmin & Liu, Yishuang & Su, Xin & Li, Zixian, 2022. "Green bonds and corporate performance: A potential way to achieve green recovery," Renewable Energy, Elsevier, vol. 200(C), pages 59-68.
  22. Vito Muggeo & Massimo Attanasio & Mariano Porcu, 2009. "A segmented regression model for event history data: an application to the fertility patterns in Italy," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 973-988.
  23. Hyune-Ju Kim & Michael P. Fay & Binbing Yu & Michael J. Barrett & Eric J. Feuer, 2004. "Comparability of Segmented Line Regression Models," Biometrics, The International Biometric Society, vol. 60(4), pages 1005-1014, December.
  24. Walter Mazzucco & Rosanna Cusimano & Sergio Mazzola & Giuseppa Rudisi & Maurizio Zarcone & Claudia Marotta & Giorgio Graziano & Paolo D’Angelo & Francesco Vitale, 2018. "Childhood and Adolescence Cancers in the Palermo Province (Southern Italy): Ten Years (2003–2012) of Epidemiological Surveillance," IJERPH, MDPI, vol. 15(7), pages 1-14, June.
  25. Siu-Tong Au & Rong Duan & Siamak Hesar & Wei Jiang, 2010. "A framework of irregularity enlightenment for data pre-processing in data mining," Annals of Operations Research, Springer, vol. 174(1), pages 47-66, February.
  26. Suwon Song & Chun Gun Park, 2019. "Alternative Algorithm for Automatically Driving Best-Fit Building Energy Baseline Models Using a Data—Driven Grid Search," Sustainability, MDPI, vol. 11(24), pages 1-11, December.
  27. Fan, Xudong & Wang, Xiaowei & Zhang, Xijin & ASCE Xiong (Bill) Yu, P.E.F., 2022. "Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
  28. Tan, Xiujie & Xiao, Ziwei & Liu, Yishuang & Taghizadeh-Hesary, Farhad & Wang, Banban & Dong, Hanmin, 2022. "The effect of green credit policy on energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  29. Tahira Kootbodien & Nisha Naicker & Kerry S. Wilson & Raj Ramesar & Leslie London, 2020. "Trends in Suicide Mortality in South Africa, 1997 to 2016," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
  30. Yu, Binbing & Barrett, Michael J. & Kim, Hyune-Ju & Feuer, Eric J., 2007. "Estimating joinpoints in continuous time scale for multiple change-point models," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2420-2427, February.
  31. Marco Ortu & Nicola Uras & Claudio Conversano & Giuseppe Destefanis & Silvia Bartolucci, 2021. "On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning," Papers 2102.08189, arXiv.org, revised Feb 2021.
  32. Muñoz, J.F. & Arcos, A. & Álvarez, E. & Rueda, M., 2014. "New ratio and difference estimators of the finite population distribution function," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 51-61.
  33. Sevgen Sibel Canaz & Tanrivermiş Yeşim, 2024. "Comparison of Machine Learning Algorithms for Mass Appraisal of Real Estate Data," Real Estate Management and Valuation, Sciendo, vol. 32(2), pages 100-111.
  34. Andrea Maugeri & Martina Barchitta & Vanessa Perticone & Antonella Agodi, 2023. "How COVID-19 Pandemic Has Influenced Public Interest in Foods: A Google Trends Analysis of Italian Data," IJERPH, MDPI, vol. 20(3), pages 1-12, January.
  35. Erjia Ge & Yee Leung, 2013. "Detection of crossover time scales in multifractal detrended fluctuation analysis," Journal of Geographical Systems, Springer, vol. 15(2), pages 115-147, April.
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