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

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.

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.

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.