There are 1 repository under bayesian-estimation topic.
Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking
Replication code for "A Model of the Fed's View on Inflation".
This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.
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.
TVP-VAR-SV modeling in MATLAB.
Power Link Functions in Modeling Dependent Ordinal Data
Code for Master Thesis titled: "Dynamic Factor Model with Time-Varying Parameters: Simulation Study & Application to International Inflation Dynamics"
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
Data Analysis and Interpretation
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.
Replication code for "Analysing inflation with semi-structural models".