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

Bitcoin price prediction algorithm using bayesian regression techniques

Insurance cost predictor

Bayesian learning and inference with WebPPL.

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

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

Bitcoin price prediction algorithm using bayesian regression techniques

Predicting Bitcoin Price Variations using Bayesian Regression

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.

Bayesian Regression Modeling of Layered Archives

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

UQ methods for DL

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

Bayesian Regression with automatic regularization or variable selection

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.

Bayesian Statistics

DataScienceOverHood

Projects, etc.

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

A machine learning pipeline for predicting Bitcoin closing prices using time series data. Includes four models, grid search, and neural network using Keras. Prints predictions and best parameters/scores.