Bayesian ARIMA forecasting of daily shallot prices in Papua (Dec 2024 - May 2025). Covers interpolation of missing days, stationarity tests, model selection, MCMC estimation, residual diagnostics, and test-set accuracy against a naive benchmark.

NGUYỄN THẾ ANH - BÀI THCK-24NH-2454020037-DAU

Spatial regression analysis of the poverty rate across 38 Indonesian provinces, using household access to electricity, safe drinking water, sanitation, adequate housing, and unmet health service need as predictors. Covers choropleth maps, comparison of distance-based spatial weight matrices, Moran’s I, Lagrange Multiplier tests, and SAR/SEM/SARMA/SDM models selected by AIC. Pair project with Salsa Rifda Erira.

Predicting house prices from listing data (bedrooms, bathrooms, land and building area, garage, location). Covers data cleaning, log transformation, variable selection with Lasso, and model comparison using train/test RMSE.

Analisis Regresi Linier Berganda