This repository implement the model used for the Paper Scalable Bayesian $p$-Generalized Probit and Logistic Regression
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Updated
Feb 20, 2026 - R
This repository implement the model used for the Paper Scalable Bayesian $p$-Generalized Probit and Logistic Regression
Early-warning models that correctly predicted the 2008 and 2020 banking crises — signal-based NSR + Probit regression on 33 macroeconomic indicators, 74.5% out-of-sample accuracy. IIT Kanpur research internship.
This is the Future Work of my thesis in EV User Purchase Behavior Analysis done for my MSc work.
Logit regression in Microsoft Excel designed for ELISA and RIA tests. Logit now (2026) ActiveX free.
Exclusive repository that contains code, simulations and practical examples of the main algorithms for Regression Analysis (v. gr. simple linear regression, multiple linear regression, polynomial regression, etc).
Statistical modeling project applying logistic regression, decision trees, and probit analysis on healthcare and consumption datasets to study prediction and behavioral patterns.
This study investigates how child marriage and adolescent pregnancy causally impact under-five child malnutrition in India, using NFHS-5 data, advanced regression models, and spatial analysis to reveal deep socio-economic and regional disparities.
Analysis of logit and probit models in R language (based on the household data).
The analysis of the relationship between China's Belt and Road Initiative (BRI) and the growth and debt distress in recipient countries
Estimates 12-month-ahead U.S. recession probability using a five-model ensemble across 37 Federal Reserve indicators. Generates automated weekly investment committee briefings with embedded charts via GitHub Actions and Claude API.
Analysis of reports of cases of gender violence in Peru on the basis of ENARES 2019.
This study employs Logistic and Probit regression analysis to investigate the relationship between race/ethnicity and mortgage approval rates.
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