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:
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- Gaussian process modeling in R☆16Updated 2 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆43Updated 11 months ago
- Course on nowcasting and forecasting of infectious disease dynamics☆21Updated 2 weeks ago
- Utilities for Scoring and Assessing Predictions☆55Updated last week
- R Package for individual based epidemiological models☆30Updated 2 weeks ago
- An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.☆22Updated last week
- Create Contact Matrices from Population Data☆20Updated 3 weeks ago
- Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD thesis, Imperial College London, 2023)☆16Updated last week
- ☆36Updated 3 years ago
- ☆41Updated last week
- ☆32Updated 6 months ago
- Tools for basic signal processing in epidemiology☆13Updated 2 weeks ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 11 months ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆50Updated 6 years ago
- Estimate Realtime Case Counts and Time-varying Epidemiological Parameters☆33Updated 2 years ago
- ☆56Updated 3 years ago
- Bayesian Regression with INLA☆50Updated 2 years ago
- Supplementary code for paper "Bayesian workflow for disease transmission model".☆27Updated 4 years ago
- Material for my proposed StanCon talk☆20Updated 4 years ago
- Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States☆27Updated 2 weeks ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Fit stochastic differential equation models with time-varying parameters☆15Updated 3 months ago
- Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"☆14Updated 3 years ago
- Automatic forecasting and Bayesian modeling for time series with Stan☆46Updated 2 months ago
- ☆10Updated 11 months ago
- Bayesian DFA with Stan☆29Updated 3 months ago
- R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamic…☆14Updated 6 months ago
- This repository supports epidemiological and disease-dynamic analyses of data from the REal Time Assessment of Community Transmission (RE…☆17Updated last year
- modelling SARS-CoV-2 vaccine efficacy from antibody titres, and impact of waning and variants on transmission☆17Updated last year