A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
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Updated
Mar 15, 2023 - Python
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
PCTSEA (Proteomics Cell Type Enrichment Analysis) is a tool designed to statistically determine which cell types are significatively enriched in an input set of proteins with certain relative expression values. This process is done by using a database of datasets of RNASeq expression values from single cells from which the cell type is known (or…
An analysis and classification model on Power Outages.
Enhancing Statistical Tests: Integrating Automation and Visualization for Optimal Data Analytics
Our team analyzed real data to help TFA optimize its corps matching process for placement acceptance and successful corps experiences. Finalists were selected in a multi-round process based on the degree to which they demonstrated.
This repository contains data science tools and methods, and my take and notes on some of them
Produce ROC, Concordance, KS, Calibration, Lift curve, Lift table for a binary classifier
Анализ датасета по суицидам в Шаньдуне.
Data Drift Analysis and Anomaly detection tools
Analysis of two variables by nonparametric method
The Monte Carlo method and the Kolmogorov-Smirnov correspondence criterion for a generation task
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
This repository contains Materials for Non-Parametric Inference
Enthält statistische Tests auf Gleichverteilung und Monte-Carlo-Simulationen um diese zu vergleichen.
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
This repository contains baseconfigs & userconfigs, cGENIE outputs, Python scripts for data analysis, and figures associated with the Herho et al. (2024) manuscript.
Shandong suicide dataset analysis
Project of a coursework - Nonparametric Inference (M.Stat Semester 2) under the supervision of Prof. Isha Dewan. (Project Group : Uttaran Chatterjee, Adrija Saha, Shrayan Roy)
Statistical analyses of the 2021 Albanian parliamentary elections
Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
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