#计算机科学#A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDy...
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
Basic statistical modelling examples.
A simple library to run variational inference on Stan models.
#自然语言处理#Source code and data for the EDM 2022 paper
spatial_attenNCM (Spatial Attention Neuro-Cognitive Modeling) used some hierarchical neuro-cognitive models to find out the spatial attention effect on perceptual decision making.
Self-study materials to give you an introduction to Bayesian inference with python
#计算机科学#It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome th...
A python interface with Stan/PyStan Markov Chain Monte Carlo package
"Probabilistic Programming & Bayesian Methods for Hackers" book ported to Stan (python)
estimate competitive programmers' performance based on Bayesian statistical modeling
Notebook to study Bayesian statistical modeling with pystan and "StanとRでベイズ統計モデリング"
Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.