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April 6, 2025
Notes on operations, automation, and AI for regulated firms — written by the team at MoiraCorp.
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Purpose The gaussian anamorphosis, known also as Gaussian Copula encoding is a mathematical function which transforms a variable X with any density distribution into a
Purpose When LDA uses a large number of predicting variables (here, ratios), the stepwise method can be useful by automatically selecting the “best”
Purpose Here we follow step by step the contents of Chap. 4, section 4.6.2 : Linear discriminant analysis, pp. 185-210 The authors are proposing to
Purpose Here we follow step by step the contents of Chap. 4, section 4.5.10 : Summary table of indicators and short listing, pp. 177-184 Method
Purpose Here we follow step by step the contents of Chap. 4, section 4.5.9 : Transformation of indicators, pp. 164-177 Method Replacement of NA encoded
Purpose This implementation follows step by step the contents of Chap. 4, section 4.5.8 : Analysis of outliers, pp. 162-164 Method The authors base their
Purpose This implementation follows step by step the content of Chap. 4, section 4.5.7 : Correlations, pp. 160-162 Method Testing on selected ratio variables (page
Purpose This implementation follows step by step the content of Chap. 4, section 4.5.6 : Empirical monotonicity, pp. 157-160 Method Comparison between BADGOOD distribution and
ANOVA of variable-BADGOOD assocation – -> (https://github.com/MoiraCorp/DLMM-IRating-in-R/tree/main/steps/step6/anova) Chi-square (Pearson) test of association between two categorical variables SECTOR-BADGOOD – -> (https://github.com/MoiraCorp/DLMM-IRating-in-R/tree/main/steps/step6/chisquare) Chi-square Phi and Cramer’s V measures – ->
It follows the section: 4.5.4 Graphical analysis (page 140 of the DLMM book)It uses Q–Q plots graphical displays in order to test the normality of
It follows the section: 4.5.4 Graphical analysis (page 140 of the DLMM book)We want to uses Box plots, Q–Q plots graphical displays in order to
It follows the section: 4.5.2 Empirical assessment of working hypothesis (page 144 of the DLMM book)We want to compute a cross-table between the 01STATUS variable
It follows the section: 4.5.2 Empirical assessment of working hypothesis (page 133 of the DLMM book)We want to compute the “descriptive statistics” for each good/bad
This is a demo article excerpt.
This is a demo article excerpt.