LuZhangstat / NNGP_STANLinks
Nearest Neighbor Gaussian Processes (NNGP) based models is a family of highly scalable Gaussian processes based models. In brief, NNGP extends the Vecchia's approximation to a process using conditional independence given information from neighboring locations. In this case study, I will briefly review response and random-effects NNGP models, ill…
☆15Updated 5 years ago
Alternatives and similar repositories for NNGP_STAN
Users that are interested in NNGP_STAN are comparing it to the libraries listed below
Sorting:
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆43Updated 10 months ago
- Gaussian process modeling in R☆16Updated 2 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD thesis, Imperial College London, 2023)☆16Updated 6 months ago
- Describes a method for monitoring MCMC convergence using ML☆8Updated 4 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 10 months ago
- Utilities for Scoring and Assessing Predictions☆53Updated 2 weeks ago
- Course on nowcasting and forecasting of infectious disease dynamics☆19Updated 2 weeks ago
- An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.☆22Updated this week
- ☆56Updated 2 years ago
- ☆36Updated 3 years ago
- Materials for the course on Bayesian model building run at Second Faculty of Medicine at Charles University in Prague☆11Updated last year
- Towards a more flexible BART☆22Updated last week
- R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamic…☆14Updated 4 months ago
- Notebooks and data for StanCon2023 tutorial on BRMS☆16Updated 2 years ago
- Fit stochastic differential equation models with time-varying parameters☆15Updated 2 months ago
- Repository for reproducing results in structured priors MRP paper☆17Updated 5 years ago
- Supplementary code for paper "Bayesian workflow for disease transmission model".☆27Updated 4 years ago
- ☆60Updated 5 months ago
- ☆31Updated 5 months ago
- Spatial capture-recapture models in Stan☆22Updated 5 years ago
- Estimate epidemiological delay distributions with brms☆15Updated 2 months ago
- Material for my proposed StanCon talk☆20Updated 4 years ago
- ☆10Updated 9 months ago
- R Package for individual based epidemiological models☆30Updated 10 months ago
- Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States☆27Updated last month
- An R package implementing an idiosyncratic Stan workflow☆14Updated 2 years ago
- ☆41Updated last month
- Examples on INLA within MCMC☆11Updated 8 years ago
- HMC and other derivative-based MCMC sampling algorithms for the nimble package☆13Updated last month