IDEAS home Printed from https://ideas.repec.org/r/bla/jorssb/v82y2020i4p1059-1086.html
   My bibliography  Save this item

Visualizing the effects of predictor variables in black box supervised learning models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wayne Xinwei Wan & Thies Lindenthal, 2023. "Testing machine learning systems in real estate," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(3), pages 754-778, May.
  2. Ying Liu & Haoran Zhao & Jieguang Sun & Yahui Tang, 2022. "Digital Inclusive Finance and Family Wealth: Evidence from LightGBM Approach," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
  3. Chun Yin & Yiyi Chen & Bindong Sun, 2024. "Nonlinear relationships of commuting and built environments surrounding residences and workplaces with obesity," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  4. Ugo Panizza & Andrew Powell, 2023. "Reducing Public Debt: What Works Best?," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 9, pages 197-222, Inter-American Development Bank.
  5. Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2023. "A Machine Learning Approach to Volatility Forecasting," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1680-1727.
  6. Aurélien Saghaï & Grace Pold & Christopher M. Jones & Sara Hallin, 2023. "Phyloecology of nitrate ammonifiers and their importance relative to denitrifiers in global terrestrial biomes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  7. Valencia, Oscar & Parra, Diego A. & Díaz, Juan Camilo, 2022. "Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries," IDB Publications (Working Papers) 12482, Inter-American Development Bank.
  8. Eduardo Cavallo & Eduardo Fernández Arias, 2023. "Strong External Balance Sheets for Resilient Economies," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 2, pages 5-36, Inter-American Development Bank.
  9. Zhan, Zilin & Guo, Yuanyuan & Noland, Robert B. & He, Sylvia Y. & Wang, Yacan, 2023. "Analysis of links between dockless bikeshare and metro trips in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
  10. Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2022. "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper 2022-16, Federal Reserve Bank of Atlanta.
  11. Xhoxhi, Orjon & Imami, Drini & Hanf, Jon & Gjokaj, Ekrem, 2022. "Too much power or no power: when does intermediary's power result into better wine and happier farmers?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(5), December.
  12. Emmanuel Flachaire & Gilles Hacheme & Sullivan Hu'e & S'ebastien Laurent, 2022. "GAM(L)A: An econometric model for interpretable Machine Learning," Papers 2203.11691, arXiv.org.
  13. João Ayres & Anna Gelpern & Andrew Powell, 2023. "Sovereign Debt Restructuring: In Need of a New Approach," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 10, pages 223-254, Inter-American Development Bank.
  14. Tao, Tao & Cao, Jason, 2022. "Examining motivations for owning autonomous vehicles: Implications for land use and transportation," Journal of Transport Geography, Elsevier, vol. 102(C).
  15. Distaso, Walter & Roccazzella, Francesco & Vrins, Frédéric, 2023. "Business cycle and realized losses in the consumer credit industry," LIDAM Discussion Papers LFIN 2023007, Université catholique de Louvain, Louvain Finance (LFIN).
  16. Raffaele Marchi & Alessandro Moro, 2024. "Forecasting Fiscal Crises in Emerging Markets and Low-Income Countries with Machine Learning Models," Open Economies Review, Springer, vol. 35(1), pages 189-213, February.
  17. Chris Reimann, 2024. "Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems," Review of Evolutionary Political Economy, Springer, vol. 5(1), pages 51-83, June.
  18. Tao, Tao & Cao, Jason, 2024. "Ineffective built environment interventions: How to reduce driving in American suburbs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
  19. Ruairi C. Robertson & Thaddeus J. Edens & Lynnea Carr & Kuda Mutasa & Ethan K. Gough & Ceri Evans & Hyun Min Geum & Iman Baharmand & Sandeep K. Gill & Robert Ntozini & Laura E. Smith & Bernard Chasekw, 2023. "The gut microbiome and early-life growth in a population with high prevalence of stunting," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  20. Sangwan Lee, 2022. "Exploring Associations between Multimodality and Built Environment Characteristics in the U.S," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
  21. Limon Barua & Bo Zou & Yan Zhou & Yulin Liu, 2023. "Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017," Transportation, Springer, vol. 50(2), pages 437-476, April.
  22. Andrew Powell & Oscar Mauricio Valencia, 2023. "The Debt Conundrum," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 1, pages 1-4, Inter-American Development Bank.
  23. Eslahi, Mohammadehsan & Mazza, Paolo, 2023. "Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS," Ecological Economics, Elsevier, vol. 214(C).
  24. Leandro Andrián & Oscar Mauricio Valencia, 2023. "Past the Tipping Point? Assessing Debt Overhang in Latin America and the Caribbean," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 8, pages 183-196, Inter-American Development Bank.
  25. Hu, Songhua & Xiong, Chenfeng & Chen, Peng & Schonfeld, Paul, 2023. "Examining nonlinearity in population inflow estimation using big data: An empirical comparison of explainable machine learning models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
  26. Xiaowei Chen & Hong Li & Yufan Lu & Rui Zhou, 2024. "Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective," Papers 2405.00697, arXiv.org, revised Aug 2024.
  27. Wang, Ning & Xu, Yan & Wang, Sutong, 2022. "Interpretable boosting tree ensemble method for multisource building fire loss prediction," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  28. María Cecilia Acevedo & Leandro Andrián & Victoria Nuguer & Oscar Mauricio Valencia, 2023. "Understanding the Rise in Debt," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 4, pages 67-94, Inter-American Development Bank.
  29. Gregory Gadzinski & Alessio Castello, 2022. "Combining white box models, black box machines and human interventions for interpretable decision strategies," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(3), pages 598-627, May.
  30. Andrew Powell & Oscar Mauricio Valencia, 2023. "The Bottom Line on Debt," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 13, pages 309-318, Inter-American Development Bank.
  31. Ashik, F.R. & Sreezon, A.I.Z. & Rahman, M.H. & Zafri, N.M. & Labib, S.M., 2024. "Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach," Journal of Transport Geography, Elsevier, vol. 116(C).
  32. Rodrigo Heresi & Andrew Powell, 2023. "Balance Sheet Vulnerabilities in the Wake of the Pandemic," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 12, pages 285-308, Inter-American Development Bank.
  33. Ronald Richman & Mario V. Wuthrich, 2021. "LocalGLMnet: interpretable deep learning for tabular data," Papers 2107.11059, arXiv.org.
  34. Engjell Skreli & Orjon Xhoxhi & Drini Imami & Klodjan Rama, 2024. "What explains collective action: The impact of social capital, incentive structures and economic benefits," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(3), pages 1622-1646, April.
  35. Zhiyu Quan & Changyue Hu & Panyi Dong & Emiliano A. Valdez, 2024. "Improving Business Insurance Loss Models by Leveraging InsurTech Innovation," Papers 2401.16723, arXiv.org.
  36. Chen, Yong & Lu, Zhiyuan & Liu, Heng & Wang, Hu & Zheng, Zunqing & Wang, Changhui & Sun, Xingyu & Xu, Linxun & Yao, Mingfa, 2024. "Machine learning-based design of target property-oriented fuels using explainable artificial intelligence," Energy, Elsevier, vol. 300(C).
  37. Zhou, Jinwei & Luo, Qi, 2024. "Influence factor studies based on ensemble learning on the innovation performance of technology mergers and acquisitions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 67-89.
  38. Eduardo Borensztein & Eduardo Cavallo, 2023. "Domestic Bond Markets: Successes and Challenges," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 3, pages 37-66, Inter-American Development Bank.
  39. Sangwan Lee, 2022. "Satisfaction with the Pedestrian Environment and Its Relationship to Neighborhood Satisfaction in Seoul, South Korea," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
  40. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2024. "Machine-learning stock market volatility: Predictability, drivers, and economic value," International Review of Financial Analysis, Elsevier, vol. 94(C).
  41. María Cecilia Acevedo & Vanessa Alviarez & Joaquin Lennon Sabatini, 2023. "Managing Private Debt," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 11, pages 255-284, Inter-American Development Bank.
  42. Longyue Liang & Bo Liu & Zhi Su & Xuanye Cai, 2024. "Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2540-2571, November.
  43. M. Merz & R. Richman & T. Tsanakas & M. V. Wuthrich, 2021. "Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles," Papers 2103.11706, arXiv.org.
  44. Messner, Wolfgang, 2024. "Distance is the spice, but not the whole enchilada: Country-pair psychic distance stimuli and country fixed effects in a deep learning implementation of the trade flow model," International Business Review, Elsevier, vol. 33(1).
  45. Wang, Yueyao & Lee, I-Chen & Hong, Yili & Deng, Xinwei, 2022. "Building degradation index with variable selection for multivariate sensory data," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
  46. João A. Bastos & Fernando Cascão, 2024. "Nonparametric determinants of market Liquidity," Working Papers REM 2024/0332, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  47. Gao, Kun & Yang, Ying & Gil, Jorge & Qu, Xiaobo, 2023. "Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility," Journal of Transport Geography, Elsevier, vol. 110(C).
  48. Thomas R. Cook & Greg Gupton & Zach Modig & Nathan M. Palmer, 2021. "Explaining Machine Learning by Bootstrapping Partial Dependence Functions and Shapley Values," Research Working Paper RWP 21-12, Federal Reserve Bank of Kansas City.
  49. Messner, Wolfgang, 2024. "Exploring multilevel data with deep learning and XAI: The effect of personal-care advertising spending on subjective happiness," International Business Review, Elsevier, vol. 33(1).
  50. Hamed Naseri & Edward Owen Douglas Waygood & Bobin Wang & Zachary Patterson, 2022. "Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
  51. Chen, Yujia & Calabrese, Raffaella & Martin-Barragan, Belen, 2024. "Interpretable machine learning for imbalanced credit scoring datasets," European Journal of Operational Research, Elsevier, vol. 312(1), pages 357-372.
  52. Quinn, Barry, 2022. "Teaching Open Science Analytics in the Age of Financial Technology," QBS Working Paper Series 2022/01, Queen's University Belfast, Queen's Business School.
  53. Tao, Tao & Cao, Jason, 2023. "Exploring nonlinear and collective influences of regional and local built environment characteristics on travel distances by mode," Journal of Transport Geography, Elsevier, vol. 109(C).
  54. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
  55. Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
  56. Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
  57. Shao, Qifan & Zhang, Wenjia & Cao, Xinyu (Jason) & Yang, Jiawen, 2023. "Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city," Journal of Transport Geography, Elsevier, vol. 110(C).
  58. Eduardo Levy Yeyati & Andrew Powell, 2023. "Sovereign Debt Management," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 6, pages 123-160, Inter-American Development Bank.
  59. Sullivan Hué, 2022. "GAM(L)A: An econometric model for interpretable machine learning," French Stata Users' Group Meetings 2022 19, Stata Users Group.
  60. Jian Guo & Saizhuo Wang & Lionel M. Ni & Heung-Yeung Shum, 2022. "Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence," Papers 2301.04020, arXiv.org.
  61. Nagl, Maximilian, 2024. "Intricacy of cryptocurrency returns," Economics Letters, Elsevier, vol. 239(C).
  62. Powell, Andrew & Valencia, Oscar, 2023. "Dealing with Debt: Less Risk for More Growth in Latin America and the Caribbean," IDB Publications (Books), Inter-American Development Bank, number 12664, November.
  63. João A. Bastos & Maria Inês Bernardes, 2024. "Understanding online purchases with explainable machine learning," Working Papers REM 2024/0313, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  64. Petros C. Lazaridis & Ioannis E. Kavvadias & Konstantinos Demertzis & Lazaros Iliadis & Lazaros K. Vasiliadis, 2023. "Interpretable Machine Learning for Assessing the Cumulative Damage of a Reinforced Concrete Frame Induced by Seismic Sequences," Sustainability, MDPI, vol. 15(17), pages 1-31, August.
  65. Joaquim Fernando Pinto da Costa & Manuel Cabral, 2022. "Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
  66. repec:cup:judgdm:v:17:y:2022:i:3:p:598-627 is not listed on IDEAS
  67. Credit, Kevin & O'Driscoll, Conor, 2024. "Assessing modal tradeoffs and associated built environment characteristics using a cost-distance framework," Journal of Transport Geography, Elsevier, vol. 117(C).
  68. Leopoldo Avellán & Arturo Galindo & Giulia Lotti, 2023. "Official Creditors: Providing More than Money," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 7, pages 161-182, Inter-American Development Bank.
  69. Juan Manuel Hernández & Andrew Powell & Oscar Mauricio Valencia, 2023. "Debt Sustainability: More Important than Ever," IDB Publications (Book Chapters), in: Andrew Powell & Oscar Mauricio Valencia (ed.), Dealing with Debt, edition 1, chapter 5, pages 95-122, Inter-American Development Bank.
  70. Steven G. Xu & Brian J. Reich, 2023. "Bayesian nonparametric quantile process regression and estimation of marginal quantile effects," Biometrics, The International Biometric Society, vol. 79(1), pages 151-164, March.
  71. Hu'e Sullivan & Hurlin Christophe & P'erignon Christophe & Saurin S'ebastien, 2022. "Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring," Papers 2212.05866, arXiv.org, revised Jun 2023.
  72. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).
  73. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
  74. Bastos, João A. & Matos, Sara M., 2022. "Explainable models of credit losses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 386-394.
  75. Borup, Daniel & Rapach, David E. & Schütte, Erik Christian Montes, 2023. "Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1122-1144.
  76. Yakun Wang & Zeda Li & Scott A. Bruce, 2023. "Adaptive Bayesian sum of trees model for covariate‐dependent spectral analysis," Biometrics, The International Biometric Society, vol. 79(3), pages 1826-1839, September.
  77. Filippelli, Steven K. & Sloggy, Matthew R. & Vogeler, Jody C. & Manning, Dale T. & Goemans, Christopher & Senay, Gabriel B., 2022. "Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 271(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.