Statistical Analysis of Real Estate Prices in Ames, IA
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Updated
Aug 27, 2017 - R
Statistical Analysis of Real Estate Prices in Ames, IA
BEST test - Bayesian difference test inspired by the classic BEST paper
R wrapper for modeling ODEs in Stan.
kassandra is a project for easy bayesian deep learning
Two different classification task solved with bayesian neural networks using PyMC3 as part of my MSc thesis. It was inspired by Thomas Wiecki blog post, thanks for his contribution.
Reproducibility and supplementary materials of the "Bayesian Digit Analysis" poster (O'Bayes 2019 conference, University of Warwick, UK)
Technical Reports
Statistical Issues in the Design and Analysis of Series of N-of-1 Trials
General statistics and mathematical concept notebooks in Python
Implementation of Machine Learning algorithms in Pattern Recognition and Machine Learning
This is a toy problem to show why our choices of Bayesian prior distributions and sample size are important in our knowledge of model response surface
Comparing Machine Learning Algorithms for Credit Risk Analysis in Banking
Repository containing additional files for the paper 'A Bayesian spatio-temporal study of association between meteorological factors and the spread of COVID-19'
Bayesian Statistics examples in biology
The goal of this report was to identify which variable best predicts divorce using decision trees and other ensemble methods. In the data set, Class is the response variable, with 0 = still married and 1 = divorced.
ِAssignments made for Data Analysis grad course using Bayesian approach
Applied analysis on the Bayesian student-t "Robust" regression model with Jeffrey's prior. Compared its model performance and robustness of posterior distributions with the Gaussian model when outliers are present.
Implement a 2 dimensional particle filter in C++ given a map and some initial localization information (analogous to what a GPS would provide). At each time step, the filter gets observation and control data
This section is for my latex project repport :
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