Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

The Rainfall Intensity Data Series can be Fitted to Eight Different PDFs and the Intensity-Duration-Frequency Curves are Computed

Goodness-of-fit tests for functional data analysis. Software companion for "A goodness-of-fit test for the functional linear model with functional response"

R package to perform goodness-of-fit tests for capture-recapture models (and various manipulations)

Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"

Extended diagnostic and visualization tools for Cox proportional hazard models in R

Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…

Evaluating the probabilistic forecasts between competitive forecasters

Table 1 and diagnostics from complex survey designs

Implementation of various models for contingency table analysis

Tests based on Chi-Square distribution using R.

Comprehensive statistical analysis project in R covering 10 exercises: data visualization (ggplot2), probability distributions, hypothesis testing, MLE, CLT, confidence intervals, and goodness-of-fit tests. Academic project for IST's Probability & Statistics course.

Computational statistics project in R on "A Simulative Comparison of Goodness-of-Fit Tests (GOFTs) from an Operational Risk Perspective with Focus on Loss Severity Distributions"

Create graphical goodness of fit (GOF) diagnostics from MPNet/PNet output (simulated txt files)

Data for the reproducibility of Cuesta-Albertos et al. (2019)

Statistical Modelling of Swine Flu Outbreak Data

Group project for Statistical Inference Methods II. Moving beyond simple descriptive statistics, the study focuses on applying various hypothesis tests and inference techniques to draw specific conclusions.