Contains data and source code for data anlysis performed for Rost, Rodrigo Albors et al., 2016
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Updated
Oct 24, 2016 - Jupyter Notebook
Contains data and source code for data anlysis performed for Rost, Rodrigo Albors et al., 2016
The Tumoroscope model in PyMC.
experimental jupyter notebook plugin GUI for defining probabilistic models in PyMC3
Lévy's alpha-stable distribution for the Jax numerical framework
Presentation by Marko Vasiljevski & Raffaele Rainone - PyData London 2016
Exploratory Analysis of Pipeline Accidents
PyMC source program to determine the number of clusters in multi-dimensional data by WBIC.
My algorithms implementation to discover the main themes that pervade a large and otherwise unstructured collection of documents.
Mining Plantation dataset, Data Cleaning and EDA, and modelling
Project aims at modeling the size distribution of sunspots greater than 60 millionths of a solar hemisphere (MSH) using a truncated log-normal distribution.
The inference of emotions by a probabilistic programming language account for both the overall emotional responses and individual emotions for different outcomes.
demonstration of uni-variate time series prediction by predicting monthly births in Sweden for the next 12 months
Choosing the best golf club using MCMC
Incorporating omics clustering for Bayesian basket trial design
The model predicts the treatment success rate for new TB cases with high accuracy and robustness. Two different approaches: PCA and Bayesian Inference. The Bayesian regression analysis reveals that c_new_sp_tsr and new_sp_fail are significant predictors of the treatment success rate, while other predictors show less certainty in their effects.
Agent Based Model (ABM) Simulator based on Item Response Theory (IRT) models
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