The following pages link to Christopher K. Wikle (Q183908):
Displaying 36 items.
- A Bayesian Hierarchical Nonoverlapping Random Disc Growth Model (Q5256124) (← links)
- Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution (Q5377202) (← links)
- An approach for identifying and predicting economic recessions in real‐time using time–frequency functional models (Q5414517) (← links)
- Hierarchical Spatiotemporal Matrix Models for Characterizing Invasions (Q5459606) (← links)
- Polynomial nonlinear spatio‐temporal integro‐difference equation models (Q5495680) (← links)
- Regionalization of Multiscale Spatial Processes by Using a Criterion for Spatial Aggregation Error (Q5743246) (← links)
- A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities (Q5754883) (← links)
- Modeling Dependence in Spatio-Temporal Econometrics (Q5871006) (← links)
- Understanding the Ensemble Kalman Filter (Q5884466) (← links)
- SPACE–TIME MODELLING OF SYDNEY HARBOUR WINDS (Q5898736) (← links)
- The variance-based cross-variogram: You can add apples and oranges (Q5935104) (← links)
- Modern statistical methods in oceanography: a hierarchical perspective (Q5965037) (← links)
- Statistical Implementations of Agent‐Based Demographic Models (Q6064366) (← links)
- Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef (Q6069128) (← links)
- Covariate‐based cepstral parameterizations for time‐varying spatial error covariances (Q6090018) (← links)
- Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio‐temporal models (Q6090030) (← links)
- Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data (Q6107192) (← links)
- A Bayesian spatio-temporal level set dynamic model and application to fire front propagation (Q6128432) (← links)
- A Review of Data‐Driven Discovery for Dynamic Systems (Q6131430) (← links)
- A model‐based approach for analog spatio‐temporal dynamic forecasting (Q6179615) (← links)
- A point process model for tornado report climatology (Q6537832) (← links)
- Multivariate spatial hierarchical Bayesian empirical likelihood methods for small area estimation (Q6538492) (← links)
- Zeros and ones: a case for suppressing zeros in sensitive count data with an application to stroke mortality (Q6538502) (← links)
- Spatio-temporal change of support with application to American community survey multi-year period estimates (Q6538508) (← links)
- Multivariate spatio-temporal survey fusion with application to the American community survey and local area unemployment statistics (Q6539181) (← links)
- Adaptively tuned particle swarm optimization with application to spatial design (Q6540510) (← links)
- Visualizing uncertainty in areal data with bivariate choropleth maps, map pixelation and glyph rotation (Q6540524) (← links)
- An ensemble quadratic echo state network for non-linear spatio-temporal forecasting (Q6540526) (← links)
- Modern perspectives on statistics for spatio-temporal data (Q6604444) (← links)
- Deep echo state networks with uncertainty quantification for spatio-temporal forecasting (Q6626063) (← links)
- On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics (Q6626399) (← links)
- An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
- Reds: random ensemble deep spatial prediction (Q6626548) (← links)
- Calibrated forecasts of quasi-periodic climate processes with deep echo state networks and penalized quantile regression (Q6626640) (← links)
- A Bayesian hierarchical downscaling model for south-west Western Australia rainfall (Q6639038) (← links)
- Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing (Q6662315) (← links)
