High Energy Physics Statistics Exercises
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Updated
Mar 4, 2018 - MATLAB
High Energy Physics Statistics Exercises
This project from the series of "Statistical and Computational Methods in Physics" studies the distribution of a data based on a-priori variational distribution form and optimizing the likelihood.
The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
Projects for ECE-302: Probability Models & Stochastic Processes
ML Estimation for Discrete Multivariate Vasicek Processes
Bias/Variance dilemma, cross-validation and work on Iris Data Set from UCI Machine Learning Repository
The matlab code of PG-PEM - The Journal of Nuclear Medicine
Using Statistical Learning Method to Segment Image
Implementation of maximum likelihood parameter estimator for linear state space systems.
Digital signal processing laboratories. Sampling and aliasing; Discrete Fourier transform (DFT); Digital filters; Autoregressive least squares (LS); Maximum Likelihood Estimation (MLE)
Communication Lab (2019 Spring)
Repository pertaining to traditional statistical methods being applied to foreground segmentation for an image of a Cheetah
Parameter estimation of Weibull Distribution
Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain
Estimating unknown static channel coefficients on a communication system utilizing Maximum Likelihood Single-Shot Estimation algorithm.
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
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