Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
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Updated
Jul 1, 2019 - TeX
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
📖 R 语言数据分析实战(写作中) Data Analysis in Action Using R
The Trendiness of Trends
A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)
Repo for a book on Bayesian capture-recapture w/ HMMs
A blog about Economics, Bayesian data analysis, machine learning, complexity economics and critical thinking
A quick start guide to SMC for static Bayesian modelling
Estimation of causal effects with small data in the presence of trapdoor variables
Interaction-Partitioned Topic Models (IPTM) using a Point Process Approach
Material for course ADA511 at HVL
notes on machine learning & pattern recognition
Repository for "From Seeing to Believing? How Female Representation Shapes Support for Democracy"
My MSc thesis: Molecular movies and geometry reconstruction using Coulomb explosion imaging. EDIT: Perfect 2^8 = 256 commits means I should never commit to this repo again.
Constraining the stellar evolution history of TRAPPIST-1 using MCMC and machine learning with approxposterior
PhD Thesis
MCMC Algorithms for Bayesian inference in the context of Big Data
Course notes for "Bayesian modelling" (MATH80601A)
This report describes a model for understanding and forecasting loan deferment rates due to labor market shocks using a Bayesian mixed-models approach.
A review of Silverman (2020) "Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches"
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