KFAS: R Package for Exponential Family State Space Models

statespacer: State Space Modelling in R

Cross-Entropy Clustering R Package

R Package for Quantile Recalibration of Gaussian Models

My Master's thesis on Bayesian Classification with Regularized Gaussian Models

Classification task of body positions of skeletal body movements recorded from a Kinect device (Kinect Gesture Dataset). A Bayesian approach is employed using a Linear Gaussian Model and Maximum Likelihood Estimation, assuming dependencies between skeleton joints.

This repository represents my work through out the "Robotics: Estimation and Learning" course offered by University of Pennsylvania which is available on Coursera online learning platform.

Elements of statistical machine learning course at AGH UST in 2023

Factorized variational approximation using a univariate Gaussian distribution over a single variable x.

implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.