Sampling nuclear data and uncertainty
Software for learning sparse Bayesian networks
Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.
Machine Learning 2017 / "A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models", / https://cran.r-project.org/web/packages/simule/
Projects for a biological data analysis course taught by Dr. Diane Thomson at the Keck Science Institute during Fall 2021.
This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.
A project in which we study the feasibility of correlation calibration (Sievers 2016) in the Murchison Widefield Array in attempt to bridge the gap between Redudant Calibration and Sky Model Based Calibration
Regression on LUE eigenvalues
A project to investigate the impact of broken dipole antennas in the Murchison Widefield Array and its ability to detect the 21-cm Power Spectrum.
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