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A Bayesian latent variable model with classification and regression tree approach for behavior and credit scoring
8 references·11 citing·47 second hop
A Bayesian latent variable model with classification and regression tree approach for behavior and credit scoring (2012)A Bayesian latent variable model with cla…Two credit scoring models based on dual strategy ensemble trees (2011)Two credit scoring models bas…A support vector machine-based model for detecting top management fraud (2010)A support vector machine-base…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Neural network credit scoring models (2000)Neural network credit scoring…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Financial credit-risk evaluation with neural and neurofuzzy systems (1999)Financial credit-risk evaluat…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Latent Variable Models and Factor Analysis (1989)Latent Variable Models and Fa…Shifting Perceptions and Behaviors: The Impact of Digitalization on Banking Services (2025)Shifting Perceptions and Beha…Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs (2024)Credit risk prediction based …A COST-SENSITIVE LOGISTIC REGRESSION CREDIT SCORING MODEL BASED ON MULTI-OBJECTIVE OPTIMIZATION APPROACH (2019)A COST-SENSITIVE LOGISTIC REG…A novel credit scoring model based on optimized random forest (2018)A novel credit scoring model …Prediction of financial strength ratings using machine learning and conventional techniques (2017)Prediction of financial stren…MODELING CREDIT APPROVAL DATA WITH NEURAL NETWORKS: AN EXPERIMENTAL INVESTIGATION AND OPTIMIZATION (2017)MODELING CREDIT APPROVAL DATA…Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM analysis method (2016)Using data mining and neural …Customer Credit Risk Assessment using Artificial Neural Networks (2016)Customer Credit Risk Assessme…Balancing accuracy, complexity and interpretability in consumer credit decision making: A C-TOPSIS classification approach (2013)Balancing accuracy, complexit…Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction (2012)Multiple extreme learning mac…A hybrid intelligent approach for modeling brand choice and constructing a market response simulator (2012)A hybrid intelligent approach…The Pricing of Options and Corporate Liabilities (1973)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit scoring with a data mining approach based on support vector machines (2006)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Multiple Objective Decision Making ― Methods and Applications: A State-of-the-Art Survey (1979)Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (2003)A state-of the-art survey of TOPSIS applications (2012)The complexity calculation for group decision making using TOPSIS algorithm (2016)An extended EDAS method under four-branch fuzzy environments and its application in credit evaluation for micro and small entrepreneurs (2020)Financial fraud detection using the related-party transaction knowledge graph (2022)A Stochastic Approximation Method (1951)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Measuring the efficiency of decision making units (1978)Product life cycle research: A literature review (1979)Association between accounting performance measures and stock prices (1992)Dynamic imbalanced business credit evaluation based on Learn++ with sliding time window and weight sampling and FCM with multiple kernels (2020)Forecasting Financial Distress With Machine Learning – A Review (2020)Information Choice and Utilization in an Experiment on Default Prediction (1980)A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)The effect of feature selection on financial distress prediction (2014)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Probabilistic Models for Some Intelligence and Attainment Tests (1961)Latent Structure Analysis. (1969)Geocoding and Monitoring of US Socioeconomic Inequalities in Mortality and Cancer Incidence: Does the Choice of Area-based Measure and Geographic Level Matter?: The Public Health Disparities Geocoding Project (2002)A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever (2004)Item factor analysis: Current approaches and future directions. (2007)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Corporate Ownership Around the World (1999)A multiple support vector machine approach to stock index forecasting with mixed frequency sampling (2017)An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan (2018)Assessing effects of economic factors on construction cost estimation using deep neural networks (2021)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)Computer assisted customer churn management: State-of-the-art and future trends (2005)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Machine Learning in Financial Crisis Prediction: A Survey (2011)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 1989Latent Variable Models and Factor Analysis1,008 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2011Two credit scoring models based on dual strategy ensemble trees244 cited
  • 1999Financial credit-risk evaluation with neural and neurofuzzy systems236 cited
  • 2010A support vector machine-based model for detecting top management fraud121 cited

Cited by

  • 2013Balancing accuracy, complexity and interpretability in consumer credit decision making: A C-TOPSIS classification approach62 cited
  • 2012Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction53 cited
  • 2018A novel credit scoring model based on optimized random forest48 cited
  • 2019A COST-SENSITIVE LOGISTIC REGRESSION CREDIT SCORING MODEL BASED ON MULTI-OBJECTIVE OPTIMIZATION APPROACH46 cited
  • 2017MODELING CREDIT APPROVAL DATA WITH NEURAL NETWORKS: AN EXPERIMENTAL INVESTIGATION AND OPTIMIZATION37 cited
  • 2016Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM analysis method

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35 cited
  • 2016Customer Credit Risk Assessment using Artificial Neural Networks34 cited
  • 2024Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs22 cited
  • 2017Prediction of financial strength ratings using machine learning and conventional techniques16 cited
  • 2012A hybrid intelligent approach for modeling brand choice and constructing a market response simulator13 cited
  • 2025Shifting Perceptions and Behaviors: The Impact of Digitalization on Banking Services6 cited