Replication code for "A Model of the Fed's View on Inflation".

Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking

This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.

Power Link Functions in Modeling Dependent Ordinal Data

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.

Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting

Code for Master Thesis titled: "Dynamic Factor Model with Time-Varying Parameters: Simulation Study & Application to International Inflation Dynamics"

Data Analysis and Interpretation

The folder contains examples and codes developed in the Willy Mutchler lecture's at the Tübingen University . The course deals with estimation of SVAR and DSGE models

Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.