zero-inflated-model

Tesis "Modelos de regresión gamma generalizada cero-inflacionada para la media" (PUCP, 2018). > Regresión para respuesta semi-continua cero-inflacionada

Latent gaussian processes for zero inflated count data.

Measuring the effect of diagnostic delays of fungal pathogens on healthcare costs in a commercially insured population. Linked Marketscan ICD-10 data on symptom and diagnosis dates. Quantile binning probability weighting was used to account for the causal relationship of time. Categorical regressions were conducted for a zero-inflated exposure.

Julia hurdle and zero-inflated negative-binomial models for sequencing counts (hurdle_nb, zinb), cross-checked against R pscl. Pre-release: the formal proofs its spec requires do not exist yet.

Zero-Inflated Seasonal Energy Consumption Forecasting

Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data

Two-stage (hurdle) ML framework for daily crash occurrence and frequency prediction at the census-tract level, addressing zero-inflation, class imbalance, and weather spatial mismatch.

The count data and model codes for analysis for the paper "Using zero-inflated and hurdle models to analyze schistosomiasis count data of school children in the southern areas of Ghana" are presented here. The codes are a combination of Python and R codes.

Code, results of Bayesian data analysis, and documents related to Project Cyano-Bayes

for academic paper(December 2025 to Febuary 2026)

Bayesian Hierarchical Zero-Inflated Negative Binomial Regression with G-Computation