Pages that link to "Item:Q2994860"
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The following pages link to Modeling default risk with support vector machines (Q2994860):
Displaying 11 items.
- Value-at-risk support vector machine: stability to outliers (Q405683) (← links)
- Prediction of banking systemic risk based on support vector machine (Q459530) (← links)
- Using financial risk measures for analyzing generalization performance of machine learning models (Q889281) (← links)
- The Bayesian additive classification tree applied to credit risk modelling (Q962375) (← links)
- Support vector machines for default prediction of SMEs based on technology credit (Q1038344) (← links)
- Bayesian regularized artificial neural networks for the estimation of the probability of default (Q5121501) (← links)
- Adjusting covariance matrix for risk management (Q5139262) (← links)
- Exploiting social media with higher-order Factorization Machines: statistical arbitrage on high-frequency data of the S&P 500 (Q5234313) (← links)
- Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design (Q5234381) (← links)
- Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks (Q6148810) (← links)
- Analysis of Deviance for Hypothesis Testing in Generalized Partially Linear Models (Q6634864) (← links)