| Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile |
12 |
| Deep echo state networks with uncertainty quantification for spatio-temporal forecasting |
12 |
| A Bayesian spatial hierarchical model for extreme precipitation in Great Britain |
8 |
| On spatial conditional extremes for ocean storm severity |
6 |
| Real-time PM2.5 mapping and anomaly detection from AirBoxes in Taiwan |
5 |
| Estimation and inference in spatially varying coefficient models |
5 |
| The new family of Fisher copulas to model upper tail dependence and radial asymmetry: Properties and application to high-dimensional rainfall data |
5 |
| Estimating precipitation extremes using the log-histospline |
5 |
| Nonseparable covariance models on circles cross time: A study of Mexico City ozone |
4 |
| A study of links between the Arctic and the midlatitude jet stream using Granger and Pearl causality |
4 |
| Modeling the health effects of time-varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression |
4 |
| Axially symmetric models for global data: A journey between geostatistics and stochastic generators |
4 |
| Error in estimating area-level air pollution exposures for epidemiology |
4 |
| A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends |
4 |
| Remote effects spatial process models for modeling teleconnections |
3 |
| Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near-road environment |
3 |
| Bayesian spatiotemporal modeling for estimating short-term exposure to air pollution in Santiago de Chile |
3 |
| Age-specific distributed lag models for heat - related mortality |
3 |
| Zero-inflated multiscale models for aggregated small area health data |
3 |
| Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels |
3 |
| Model-based inference of conditional extreme value distributions with hydrological applications |
3 |
| Fractional Gaussian noise: Prior specification and model comparison |
3 |
| Non-Gaussian autoregressive processes with Tukey g-and-h transformations |
3 |
| Spatial regression with an informatively missing covariate: Application to mapping fine particulate matter |
3 |
| Unsupervised space-time clustering using persistent homology |
3 |
| Predicting climate types for the Continental United States using unsupervised clustering techniques |
2 |
| Modeling continuous time series with many zeros and an application to earthquakes |
2 |
| Bayesian model-data synthesis with an application to global glacio-isostatic adjustment |
2 |
| Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection |
2 |
| Estimating environment impacts on housing prices |
2 |
| Spatial models for non-Gaussian data with covariate measurement error |
2 |
| A calibration capture-recapture model for inferring natural gas leak population characteristics using data from Google Street View cars |
2 |
| Semiparametric Bayesian joint modeling of clustered binary and continuous outcomes with informative cluster size in developmental toxicity assessment |
2 |
| Bayesian hierarchical model for variations in earthquake peak ground acceleration within small-aperture arrays |
2 |
| Process convolution approaches for modeling interacting trajectories |
2 |
| Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model |
2 |
| Regularized spatial maximum covariance analysis |
2 |
| Multivariate air pollution prediction modeling with partial missingness |
2 |
| A Bayesian spatiotemporal model of panel design data: Airborne particle number concentration in Brisbane, Australia |
2 |
| Accounting for uncertainty in source-specific exposures in the evaluation of health effects of pollution sources on daily cause-specific mortality |
1 |
| A first-order, ratio-based nonparametric separability test for spatiotemporal point processes |
1 |
| Design of monitoring networks using k-determinantal point processes |
1 |
| Model aggregation using optimal transport and applications in wind speed forecasting |
1 |
| Adaptive predictive principal components for modeling multivariate air pollution |
1 |
| Distribution and time-series modelling of ordinal circular data |
1 |
| An EM-type approach for classification of bivariate MALDI-MS data and identification of high fertility markers |
1 |
| Partial stratification in two-sample capture-recapture experiments |
1 |
| Multivariate left-censored Bayesian modeling for predicting exposure using multiple chemical predictors |
1 |
| A model for the directional evolution of severe ocean storms |
1 |
| A spatio-temporal approach to estimate patterns of climate change |
1 |
