Pinned Repositories
CensoredNeuralEstimators
Neural point estimation with censored data
CondExtremesPy
Code for fitting the Heffernan and Tawn (2004) conditional extremes model
INARMA_RJMCMC_py
Python implementation of RJMCMC for parameter estimation and order determination of INARMA(p,q) models
Jbrich95.github.io
Personal website
pinnEV
Partially-Interpretable Neural Networks for Extreme Value modelling
scePrecip
Fitting spatial conditional models for extreme precipitation
sdfExtreme
R package accompanying "Spatial deformation for non-stationary extremal dependence"
yalla
Official GitHub repo for KAUST extSTAT Group’s EVA 2023 Data Challenge submissions. Contains R code, data analyses, and resources from "Yalla Team," which won first place at Bocconi University, Milan.
NeuralEstimators
R interface to the Julia package NeuralEstimators
NonStaExtDep
Jbrich95's Repositories
Jbrich95/pinnEV
Partially-Interpretable Neural Networks for Extreme Value modelling
Jbrich95/sdfExtreme
R package accompanying "Spatial deformation for non-stationary extremal dependence"
Jbrich95/CensoredNeuralEstimators
Neural point estimation with censored data
Jbrich95/Jbrich95.github.io
Personal website
Jbrich95/CondExtremesPy
Code for fitting the Heffernan and Tawn (2004) conditional extremes model
Jbrich95/INARMA_RJMCMC_py
Python implementation of RJMCMC for parameter estimation and order determination of INARMA(p,q) models
Jbrich95/scePrecip
Fitting spatial conditional models for extreme precipitation
Jbrich95/cde-RKeras-intro
An introduction to conditional density estimation using the R interface to Keras
Jbrich95/INARMA_RJMCMC_R
R code for parameter estimation and order determination of INARMA models