statistical-inference-for-data-science

Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications

Applied statistical inference project analyzing mileage differences between manual and automatic vehicles using data preprocessing, EDA, Shapiro–Wilk test, Levene’s test, independent t-test (Welch), Mann–Whitney U test, Cohen’s d, and 95% CIs in Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn).

Assignments and projects from the statistical inference course offered at the University of Tehran.

ENEM 2020 — Efeito da posição do item na probabilidade de acerto Análise estatística e preditiva do efeito da posição das questões de Matemática no ENEM 2020, combinando regressão logística, bootstrap e modelos de Machine Learning com foco em inferência e desempenho preditivo.

Reproducible distribution fitting, model selection, and likelihood-based uncertainty quantification across Python, R, MATLAB, and Fortran.

Statistical analysis of dog rehoming times using R, confidence intervals, distribution fitting and pairwise comparison.

Aplicação de inferência estatística, regressão e técnicas de agrupamento para explorar padrões, testar relações e identificar estruturas nos dados.

A RShiny app for constructing network by PCGII

End-to-end medical insurance cost analytics and predictive modeling pipeline combining classical biostatistics (t-tests, ANOVA) with an optimized Linear Regression engine.