Ideas developed or integrated with other publicly available projects
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Updated
Jun 8, 2024 - Jupyter Notebook
Ideas developed or integrated with other publicly available projects
The base NIMBLE package for R
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
We are presenting a Bayesian local-level model and its extensions
Unofficial Pytorch Implementation of the Nouveau Variational AutoEncoder (NVAE) paper.
Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.
Bayesian relative mixture cure modelling with Stan.
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
[WWW 2023] The source code of "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"
My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.
An R package for estimating generalized additive mixed models with latent variables
Hierarchical Gaussian Processes based Multi-Robot Relative Localization
Deep exponential families for single-cell data.
Comparative Social Research with Multi-level Modelling in R
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression
Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms
Using Hierarchical Linear Modeling to determing if school level characteristics interact with individual school level characteristics to influence an indicidual's effort towards school
Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
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