[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)

financial data analytics using statistical modelling and machine learning techniques

A general modelling framework for specifying and fitting models to empirical fundamental diagrams of road traffic, and for comparing the model fits using information criteria

Statistical testing with R

A project aimed at analysing experimental human eye data to better understand the spatiotemporal dynamics of covert attention.

This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.

statistical modelling of the wine data-set available at https://www.kaggle.com/zynicide/wine-reviews

Highlights of my research work in MATLAB, statistical modeling of the unstructured raw data from GPS satellites for several years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes. The results were…

This repository contains learning materials and assignments for the subject MAST90139 Statistical Modelling for Data Science

A/B Hypothesis Testing.

Industry - Casualty Challenge

financial risk management projects

RefInt: A curated reference interactome with true positives and negatives for benchmarking protein-protein interactions.

This is a POC on regression analysis from the simplest to advanced regression model. Notable things that is done is Data Preprocessing, Data Visualization, Feature Engineering and Statistical Modelling.