The following pages link to Stem (Q24217):
Displaying 50 items.
- A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields (Q148999) (← links)
- Spatial-temporal modellization of the \(\mathrm{NO}_2\) concentration data through geostatistical tools (Q290365) (← links)
- A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling (Q312916) (← links)
- European population exposure to airborne pollutants based on a multivariate spatio-temporal model (Q321458) (← links)
- Understanding the stochastic partial differential equation approach to smoothing (Q782712) (← links)
- A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations (Q830465) (← links)
- Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation (Q830623) (← links)
- Bayesian computing with INLA: new features (Q1615084) (← links)
- Spatial statistics for environmental studies (Q1621221) (← links)
- Spatio-temporal modeling of particulate matter concentration through the SPDE approach (Q1621226) (← links)
- Spatio-temporal analysis with short- and long-memory dependence: a state-space approach (Q1708368) (← links)
- A locally adaptive process-convolution model for estimating the health impact of air pollution (Q1728671) (← links)
- Bayesian spatio-temporal prediction of cancer dynamics (Q2006230) (← links)
- Spatiotemporal probabilistic wind vector forecasting over Saudi Arabia (Q2044259) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- A general framework for SPDE-based stationary random fields (Q2073200) (← links)
- Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
- Spatio-temporal modelling of dengue fever patterns in peninsular Malaysia from 2015--2017 (Q2089373) (← links)
- The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
- A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird abundance in Mid-Scandinavia (Q2102978) (← links)
- Spatial distribution of invasive species: an extent of occurrence approach (Q2161020) (← links)
- Spatial distribution of the earthquake in mainland China (Q2162160) (← links)
- Interpolation of daily rainfall data using censored Bayesian spatially varying model (Q2184400) (← links)
- Model-based geostatistics from a Bayesian perspective: investigating area-to-point Kriging with small data sets (Q2187780) (← links)
- Coherent combination of probabilistic outputs for group decision making: an algebraic approach (Q2197159) (← links)
- Regularity and convergence analysis in Sobolev and Hölder spaces for generalized Whittle-Matérn fields (Q2217871) (← links)
- Efficient reconstructions of Common Era climate via integrated nested Laplace approximations (Q2273008) (← links)
- A unified view on Bayesian varying coefficient models (Q2283580) (← links)
- A penalized likelihood method for nonseparable space-time generalized additive models (Q2316739) (← links)
- A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (Q2317322) (← links)
- A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
- Reconstructing missing data sequences in multivariate time series: an application to environmental data (Q2324309) (← links)
- Parallelized integrated nested Laplace approximations for fast Bayesian inference (Q2677902) (← links)
- Geostatistical Modelling Using Non-Gaussian Matérn Fields (Q2949882) (← links)
- Spatial and Spatio-Temporal Bayesian Models with R-INLA, by MartaBlangiardo and MichelaCameletti. Published by John Wiley and Sons, Chichester, UK, 2015. Total number of pages: 308. ISBN 978-1-118-32655-8 (Q2954310) (← links)
- (Q4594513) (← links)
- Spatially multi-scale dynamic factor modeling via sparse estimation (Q4997083) (← links)
- A spatial–temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space–time model (Q5037053) (← links)
- Spatio-temporal hierarchical Bayesian analysis of wildfires with Stochastic Partial Differential Equations. A case study from Valencian Community (Spain) (Q5037069) (← links)
- A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States (Q5050801) (← links)
- Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
- Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria (Q5074896) (← links)
- Integrated nested Laplace approximation method for hierarchical Bayesian inference of spatial model with application to functional magnetic resonance imaging data (Q5080999) (← links)
- Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database (Q5082758) (← links)
- On the choice of the mesh for the analysis of geostatistical data using R-INLA (Q5085574) (← links)
- Multilevel approximation of Gaussian random fields: Fast simulation (Q5112023) (← links)
- An investigation of the impact of various geographical scales for the specification of spatial dependence (Q5130548) (← links)
- Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (Q5222497) (← links)
- Spatial and Spatio‐temporal Bayesian Models with R‐INLA (Q5251248) (← links)
- (Q5420373) (← links)
