collection of utility functions for correlation analysis
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Updated
Jun 19, 2022 - Python
collection of utility functions for correlation analysis
Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis
Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020
Calculate confidence intervals for correlation coefficients
Some code related to our paper Per,Duc,Nes. Detection (2019). The objective is to detect block-exchangeable structures in correlation matrices. For any help, please contact me or leave a comment somewhere. I will be glad to help you.
Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data
Sketching Algorithms For Approximating Kendall's Tau Rank Correlation
資料科學的日常研究議題
In 2021 twenty five colleges have teams in both the men's and women's NCAA D-1 basketball tournament. How correlated are the strengths of men's and women's teams? There are two Jupiter notebooks investigating the relationship.
Develop algorithm and data structure to simulate climate change. Utilize statistical analysis on annual rainfall, and Kendall's tau model for trend analysis. Furthermore, visualize/plot simulation.
Predict the relationship between code and comments
Visualize and Analyze urban heat data from Biel Switzerland
Sentiment Analysis of Scraped Royal Caribbean Cruise Customer Reviews
Implementation of Spearman and Kendall correlation coefficient for MS Excel (VBA)
Contains code for the paper *Hypothesis tests for structured rank correlation matrices* (Perreault, Neslehova & Duchesne, 2021).
critical value tables for Kendall's tau-a
Code computing (Generalized) Kendall's tau and its jackknife variance under serial dependence.
The Alternative Credit Score System leverages multiple feature selection techniques (Lasso Regularization, Fisher Score, Information Gain, Kendall’s Tau) to predict alternative credit scores, helping to ease the burden on both banks and loan applicants.
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