Pages that link to "Item:Q2260144"
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The following pages link to A spatio-temporal downscaler for output from numerical models (Q2260144):
Displaying 44 items.
- Estimating the health impact of climate change with calibrated climate model output (Q484662) (← links)
- A bivariate space-time downscaler under space and time misalignment (Q542961) (← links)
- Attaching uncertainty to deterministic spatial interpolations (Q713947) (← links)
- A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration (Q765981) (← links)
- A comparison of centring parameterisations of Gaussian process-based models for Bayesian computation using MCMC (Q1703834) (← links)
- Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes (Q2078736) (← links)
- A spatial causal analysis of wildland fire-contributed \(\mathrm{PM}_{2.5}\) using numerical model output (Q2080787) (← links)
- Statistical downscaling with spatial misalignment: application to wildland fire \(\mathrm{PM}_{2.5}\) concentration forecasting (Q2084398) (← links)
- A directionally varying change points model for quantifying the impact of a point source (Q2163488) (← links)
- Functional single-index quantile regression models (Q2195823) (← links)
- Spatial distributed lag data fusion for estimating ambient air pollution (Q2233175) (← links)
- Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework (Q2242020) (← links)
- Quantifying local creation and regional transport using a hierarchical space-time model of ozone as a function of observed \(\text{NO}_{\text{x}}\), a latent space-time VOC process, emissions, and meteorology (Q2260201) (← links)
- Calibration of numerical model output using nonparametric spatial density functions (Q2261043) (← links)
- Complete spatial model calibration (Q2318654) (← links)
- Extreme value analysis for evaluating ozone control strategies (Q2443142) (← links)
- Multivariate functional data modeling with time-varying clustering (Q2666063) (← links)
- Geostatistical Modelling Using Non-Gaussian Matérn Fields (Q2949882) (← links)
- Dynamically Updated Spatially Varying Parameterizations of Hierarchical Bayesian Models for Spatial Data (Q3391187) (← links)
- A spectral method for spatial downscaling (Q3465371) (← links)
- Uncertainty Quantification Using the Nearest Neighbor Gaussian Process (Q4556968) (← links)
- Spatial Statistical Data Fusion for Remote Sensing Applications (Q4648542) (← links)
- Space‐Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality (Q4649060) (← links)
- Hierarchical spatially varying coefficient and temporal dynamic process models using<tt>spTDyn</tt> (Q5222376) (← links)
- Spatiotemporal exposure prediction with penalized regression (Q6050901) (← links)
- Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators (Q6069045) (← links)
- Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations (Q6090035) (← links)
- Controlling for unmeasured confounding and spatial misalignment in long‐term air pollution and health studies (Q6179596) (← links)
- A data fusion approach for spatial analysis of speciated PM<sub>2.5</sub> across time (Q6179600) (← links)
- Identifying trends in the spatial errors of a regional climate model via clustering (Q6179617) (← links)
- Efficient inference of generalized spatial fusion models with flexible specification (Q6541490) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Prediction and model evaluation for space–time data (Q6604261) (← links)
- Local real-time forecasting of ozone exposure using temperature data (Q6626006) (← links)
- Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support (Q6626062) (← links)
- Nonseparable covariance models on circles cross time: a study of Mexico City ozone (Q6626087) (← links)
- Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near-road environment (Q6626096) (← links)
- Error in estimating area-level air pollution exposures for epidemiology (Q6626106) (← links)
- Spatial cluster detection of regression coefficients in a mixed-effects model (Q6626127) (← links)
- A joint Bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA (Q6626196) (← links)
- Modeling temporally misaligned data across space: the case of total pollen concentration in Toronto (Q6626627) (← links)
- Novel application of a process convolution approach for calibrating output from numerical models (Q6626632) (← links)
- Penalized distributed lag interaction model: air pollution, birth weight, and neighborhood vulnerability (Q6626667) (← links)
- Bayesian hierarchical models for the combination of spatially misaligned data: a comparison of melding and downscaler approaches using INLA and SPDE (Q6656015) (← links)
