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.

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

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.

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