danielseussler
Statistics, Data and Development Economics. Maths and Stats at LMU Munich.
Center for Evaluation and Development (C4ED)Frankfurt am Main, Germany
Pinned Repositories
conformalbayes
Conformal Bayesian Computation with Stan and Numba.
costmboost
Cost-sensitive loss in the component-wise boosting framework.
danielseussler
danielseussler.github.io
A Theme for GitHub Pages
docintegrity
A small python package for plagiarism checks in docx files.
horseshoe
A repo to test different sampling algorithms related to sparse bayesian regression models and the horseshoe prior specifically.
hyperspectral-soil
mcw_multilayernetworks
ssahealthriskfactors
Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.
zindi-earlylearning-py
Replication files for the Zindi DataDrive2030 Early Learning Predictors Competition.
danielseussler's Repositories
danielseussler/conformalbayes
Conformal Bayesian Computation with Stan and Numba.
danielseussler/costmboost
Cost-sensitive loss in the component-wise boosting framework.
danielseussler/danielseussler
danielseussler/danielseussler.github.io
A Theme for GitHub Pages
danielseussler/docintegrity
A small python package for plagiarism checks in docx files.
danielseussler/horseshoe
A repo to test different sampling algorithms related to sparse bayesian regression models and the horseshoe prior specifically.
danielseussler/hyperspectral-soil
danielseussler/mcw_multilayernetworks
danielseussler/pymc-examples
Examples of PyMC models, including a library of Jupyter notebooks.
danielseussler/socialnetworks_amen
Replication Code for the Seminar on Statistical Modelling of Social Networks: The Additive and Multiplicative Effects Network Model. Application Case: Interstate Defence Alliances in 2000.
danielseussler/ssahealthriskfactors
Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.
danielseussler/ssahealthriskfactors-tex
Tex files for my master's thesis. Component-wise boosting for identification of health risk factors.
danielseussler/zindi-earlylearning-py
Replication files for the Zindi DataDrive2030 Early Learning Predictors Competition.
danielseussler/rossmann_sales
Test bench for Stan w/ ADVI and Pathfinder for scalable Bayesian inference.
danielseussler/weatherx