method-of-moments

Full featured, cross-platform RF circuit + electromagnetic simulator. DC, S-parameters, harmonic balance, loadpull. Also supports 2D and 3D layout and design and electromagnetic MoM, FEM, FDTD + thermal FEM.

Electric field volume integral equation solver, incorporating method of moments and SWG basis functions.

Implementation of learning a Gaussian mixture model using tensor decomposition.

PyQBMMlib is a Python extension of QBMMlib

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

Mathematica package for quadrature moment methods

Method of Moments for 2D electromagnetic problems.

Electric Field Integral Equation (EFIE) numerical solver for 2D arbitrary and inhomogeneous objects with cylindrical symmetry.

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions

Antenna Q-Factor Topology Optimization with Auxiliary Edge Resitivities

Contains some examples on the solution of basic electrostatic problems using MoM formulation

Python implementation of "Learning mixtures of spherical Gaussians: moment methods and spectral decompositions, arXiv:1206.5766v4 [cs.LG]" (ACM 2013)

Method of Moments (MoM) estimation for the univariate Gamma distribution

Content from the course "Principles and Applications in Statistical Analysis (52221)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.

An open-source C++ framework to simulate Population balance models

Integral equation method for Topology Optimization

Assignment submission for the course - Probability and Statistics for Data Science

Method of Moments and Maximum Likelihood estimation for a Beta model

These projects were a part of our course work under Prof. Arunabha Majumdar.