The following pages link to Stefano Castruccio (Q386744):
Displaying 30 items.
- Global space-time models for climate ensembles (Q386745) (← links)
- A Bayesian approach to spatial prediction with flexible variogram models (Q484599) (← links)
- Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation (Q830623) (← links)
- Principles for statistical inference on big spatio-temporal data from climate models (Q1642392) (← links)
- Reducing storage of global wind ensembles with stochastic generators (Q1647632) (← links)
- Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes (Q2028587) (← links)
- Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction (Q2078298) (← links)
- Compression of climate simulations with a nonstationary global spatiotemporal SPDE model (Q2194444) (← links)
- A multivariate global spatiotemporal stochastic generator for climate ensembles (Q2273000) (← links)
- A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data (Q3119921) (← links)
- Improving Bayesian Local Spatial Models in Large Datasets (Q5066391) (← links)
- A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes (Q5226626) (← links)
- A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐<i>t</i> Distribution (Q5377198) (← links)
- Comments on: ``Comparing and selecting spatial predictors using local criteria'' (Q5971081) (← links)
- Saving storage in climate ensembles: a model-based stochastic approach (Q6050905) (← links)
- Rejoinder on ``Saving storage in climate ensembles: a model-based stochastic approach'' (Q6050911) (← links)
- Sensitivity analysis of wind energy resources with Bayesian non-Gaussian and nonstationary functional ANOVA (Q6128398) (← links)
- Calibration of spatiotemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks (Q6138472) (← links)
- Beyond axial symmetry: an improved class of models for global data (Q6537776) (← links)
- Visuanimation in statistics (Q6538490) (← links)
- A stochastic locally diffusive model with neural network-based deformations for global sea surface temperature (Q6543845) (← links)
- High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure (Q6576191) (← links)
- Axially symmetric models for global data: a journey between geostatistics and stochastic generators (Q6626034) (← links)
- A high-resolution bilevel skew-\(t\) stochastic generator for assessing Saudi Arabia's wind energy resources (Q6626176) (← links)
- Rejoinder to the discussion on: ``A high-resolution bilevel skew-\(t\) stochastic generator for assessing Saudi Arabia's wind energy resources'' (Q6626187) (← links)
- An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
- Calibrated forecasts of quasi-periodic climate processes with deep echo state networks and penalized quantile regression (Q6626640) (← links)
- Forecasting high-frequency spatio-temporal wind power with dimensionally reduced echo state networks (Q6643933) (← links)
- An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes (Q6645767) (← links)
- Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view (Q6668757) (← links)
