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PROBABILISTIC APPROACHES FOR CREDIT SCREENING AND BANKRUPTCY PREDICTION
Parag C. Pendharkar
School of Business Administration (Harrisburg)
Research output
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Article
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peer-review
8
Scopus citations
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Dive into the research topics of 'PROBABILISTIC APPROACHES FOR CREDIT SCREENING AND BANKRUPTCY PREDICTION'. Together they form a unique fingerprint.
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Keyphrases
Bankruptcy Prediction
100%
Probabilistic Neural Network
100%
Probabilistic Approach
100%
Credit Screening
100%
Logistic Regression
75%
Regression Neural Network
75%
Training Data
50%
False Positive Rate
50%
Area under the Receiver Operating Characteristic Curve
50%
Deciles
50%
Bankruptcy
25%
Neural Network
25%
Overfitting
25%
Sensitivity Specificity
25%
Neural Network Method
25%
Performance Metrics
25%
Expectation Maximization
25%
Performance Criteria
25%
Prediction Data
25%
Engineering
Probabilistic Approach
100%
Receiver Operating Characteristic
100%
Operating-Characteristic Curve
100%
Metrics
50%
Maximization
50%
Performance Criterion
50%
Neural Network Approach
50%
Computer Science
Neural Network
100%
Bankruptcy Prediction
100%
Probabilistic Approach
100%
Logistic Regression
42%
False Positive Rate
28%
Training Data
28%
Characteristic Curve
28%
Neural Network Approach
14%
Performance Metric
14%
Performance Criterion
14%
Mathematics
Neural Network
100%
Logistic Regression
37%
False Positive Rate
25%
Training Data
25%
Characteristic Curve
25%