Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

• UpdatedMay 28, 2022
• Jupyter Notebook

Bitcoin price prediction algorithm using bayesian regression techniques

• UpdatedJan 7, 2018
• MATLAB

Insurance cost predictor

• UpdatedJan 28, 2019
• Jupyter Notebook

Bayesian learning and inference with WebPPL.

• UpdatedApr 1, 2019
• JavaScript

Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression

• UpdatedAug 16, 2023
• Python

The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.

• UpdatedAug 5, 2022
• Python

This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).

• UpdatedMar 1, 2019
• Python

Bitcoin price prediction algorithm using bayesian regression techniques

• UpdatedJul 16, 2020
• MATLAB

Predicting Bitcoin Price Variations using Bayesian Regression

• UpdatedFeb 11, 2018
• Python

Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin

• UpdatedOct 27, 2022
• Python

Bayesian Regression Modeling of Layered Archives

• UpdatedJan 20, 2025
• R

Complementary repository with data and code for Wolf & Tollefsen, 2021.

• UpdatedJan 6, 2021
• R

UQ methods for DL

• UpdatedDec 1, 2023
• Jupyter Notebook

DataScienceOverHood

• UpdatedJun 21, 2022
• Jupyter Notebook

Bayesian Statistics

• UpdatedNov 5, 2022
• Jupyter Notebook

Bayesian Regression with automatic regularization or variable selection

• UpdatedDec 1, 2020

This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.

• UpdatedDec 21, 2020
• R

Calibrating neural networks with Bayesian nonparametric regression (Inferno) to quantify uncertainty and improve prediction reliability.

• UpdatedJun 26, 2025
• Jupyter Notebook

Implementation of Hierarchical, Pooled, and Separate Bayesian Regression models for blood pressure prediction using Pulse Arrival Time (PAT) measurements in Julia

• UpdatedMar 24, 2025
• Jupyter Notebook

Projects, etc.

• UpdatedMay 31, 2021
• Jupyter Notebook