| # Statistical Modeling |
| This section of the dataset contains sparse matrices related to statistical modeling. More specifically, this contain precision matrices as used within the integrated nested Laplace approximation (INLA) framework. |
|
|
| ## temp_prior_st1 |
| Domain: Prior precision matrix from spatio-temporal statistical modeling applied to temperature prediction |
|
|
| ### Caracteristics |
| - Type: positive-definite symmetric |
| - Size: 1000506x1000506, 50870502 nnz |
| - Used in: Linear system solving |
|
|
| | | Initial | Cholesky | Fill-in | Depth | |
| |----------------|----------|----------|---------|-------| |
| | temp_prior_st1 | 50870502 | | | | |
| | RCM | | | | | |
| | AMD | | | | | |
| | ND | | | | | |
|
|
| ### References |
| - [Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling](https://epubs.siam.org/doi/full/10.1137/23M1561531) |
|
|
| ## temp_conditional_st1 |
| Domain: Conditional precision matrix from spatio-temporal statistical modeling applied to temperature prediction |
|
|
| ### Caracteristics |
| - Type: positive-definite symmetric |
| - Size: 1000506x1000506, 62837532 nnz |
| - Used in: Linear system solving, Selected linear system solving |
|
|
| | | Initial | Cholesky | Fill-in | Depth | |
| |----------------------|----------|----------|---------|-------| |
| | temp_conditional_st1 | 62837532 | | | | |
| | RCM | | | | | |
| | AMD | | | | | |
| | ND | | | | | |
|
|
| ### References |
| - [Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling](https://epubs.siam.org/doi/full/10.1137/23M1561531) |
|
|
|
|
|
|
| ## airpoll_prior_st3 |
| Domain: Prior precision matrix from a coregional (trivariate) spatio-temporal statistical modeling applied to air pollution |
|
|
| ### Caracteristics |
| - Type: positive-definite symmetric |
| - Size: 8499x8499, 1205931 nnz |
| - Used in: Linear system solving |
| - |
| | | Initial | Cholesky | Fill-in | Depth | |
| |-------------------|---------|----------|---------|-------| |
| | airpoll_prior_st3 | 1205931 | | | | |
| | RCM | | | | | |
| | AMD | | | | | |
| | ND | | | | | |
|
|
| ### References |
| - []() |
| - [Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy](https://arxiv.org/abs/2503.12394) |
|
|
|
|
| ## airpoll_conditional_st3 |
| Domain: Conditional precision matrix from a coregional (trivariate) spatio-temporal statistical modeling applied to air pollution |
|
|
| ### Caracteristics |
| - Type: positive-definite symmetric |
| - Size: 8499x8499, 1218651 nnz |
| - Used in: Linear system solving, Selected linear system solving |
|
|
| | | Initial | Cholesky | Fill-in | Depth | |
| |-------------------------|---------|----------|---------|-------| |
| | airpoll_conditional_st3 | 1218651 | | | | |
| | RCM | | | | | |
| | AMD | | | | | |
| | ND | | | | | |
|
|
| ### References |
| - []() |
| - [Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy](https://arxiv.org/abs/2503.12394) |
