SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Are we modelling the right thing? The impact of incorrect problem specification in credit scoring
9 references·5 citing·35 second hop
Are we modelling the right thing? The impact of incorrect problem specification in credit scoring (2008)Are we modelling the right thing? The imp…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Good practice in retail credit scorecard assessment (2005)Good practice in retail credi…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Defining attributes for scorecard construction in credit scoring (2000)Defining attributes for score…Credit scoring using neural and evolutionary techniques (2000)Credit scoring using neural a…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…Credit-scoring models in the credit-union environment using neural networks and genetic algorithms (1997)Credit-scoring models in the …Evolving Bayesian classifiers for credit control—a comparison with other machine-learning methods (1993)Evolving Bayesian classifiers…The flat maximum effect and linear scoring models for prediction (1986)The flat maximum effect and l…A recent review on optimisation methods applied to credit scoring models (2023)A recent review on optimisati…Data Science for Economics and Finance (2021)Data Science for Economics an…Applicability of Scoring Models in Firms' Default Prediction. The Case of Slovakia (2018)Applicability of Scoring Mode…Probabilistic and discriminative group-wise feature selection methods for credit risk analysis (2012)Probabilistic and discriminat…Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions (2011)Comparisons of the Performanc…Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Assessing Credit Card Applications Using Machine Learning (1987)Linear models in decision making. (1974)Behavioral Decision Theory (1977)The robust beauty of improper linear models in decision making. (1979)Epistemology and the Psychology of Human Judgment (2005)Linear indices in nonlinear structural equation models: best fitting proper indices and other composites (2011)The wisdom of smaller, smarter crowds (2014)Predictability and Prediction (1993)Behavioural models of credit card usage (2003)Optimal bipartite scorecards (2005)Reject inference in credit operations based on survival analysis (2005)A comparison of neural networks and linear scoring models in the credit union environment (1996)A credit scoring model for Vietnam's retail banking market (2007)A literature review on the application of evolutionary computing to credit scoring (2012)The Pricing of Options and Corporate Liabilities (1973)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)A review of trade credit literature: Opportunities for research in operations (2013)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Credit scoring for profitability objectives (2009)Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Approaches for credit scorecard calibration: An empirical analysis (2017)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates (2022)Developing an Early Warning System for Financial Networks: An Explainable Machine Learning Approach (2024)Natural Language Processing and Deep Learning for Bankruptcy Prediction: An End-to-End Architecture (2024)A survey of the issues in consumer credit modelling research (2005)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)Consumer credit-risk models via machine-learning algorithms (2010)
this work references cited by second hop

References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 1997Credit-scoring models in the credit-union environment using neural networks and genetic algorithms151 cited
  • 2000Credit scoring using neural and evolutionary techniques151 cited
  • 2005Good practice in retail credit scorecard assessment117 cited
  • 1986The flat maximum effect and linear scoring models for prediction106 cited
  • 2000Defining attributes for scorecard construction in credit scoring38 cited
  • 1993Evolving Bayesian classifiers for credit control—a comparison with other machine-learning methods28 cited

Cited by

  • 2021Data Science for Economics and Finance42 cited
  • 2023A recent review on optimisation methods applied to credit scoring models20 cited
  • 2018Applicability of Scoring Models in Firms' Default Prediction. The Case of Slovakia16 cited
  • 2012Probabilistic and discriminative group-wise feature selection methods for credit risk analysis13 cited
  • 2011Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions13 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work