The following pages link to Christopher K. Wikle (Q183908):
Displaying 50 items.
- (Q251635) (redirect page) (← links)
- Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics (Q262346) (← links)
- (Q486046) (redirect page) (← links)
- Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion (Q486047) (← links)
- Ecological prediction with nonlinear multivariate time-frequency functional data models (Q486064) (← links)
- Bayesian lattice filters for time-varying autoregression and time-frequency analysis (Q516530) (← links)
- (Q587891) (redirect page) (← links)
- A general science-based framework for dynamical spatio-temporal models (Q619127) (← links)
- Rejoinder on: A general science-based framework for dynamical spatio-temporal models (Q619130) (← links)
- Estimation of parameterized spatio-temporal dynamic models (Q861225) (← links)
- Bayesian semiparametric hierarchical empirical likelihood spatial models (Q894792) (← links)
- (Q999656) (redirect page) (← links)
- Interpolating fields of carbon monoxide data using a hybrid statistical-physical model (Q999657) (← links)
- Hierarchical nonlinear spatio-temporal agent-based models for collective animal movement (Q1680351) (← links)
- (Q1731186) (redirect page) (← links)
- Emulator-assisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes (Q1731188) (← links)
- Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) (Q1752017) (← links)
- Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
- A hierarchical spatiotemporal statistical model motivated by glaciology (Q2009141) (← links)
- A Bayesian approach for data-driven dynamic equation discovery (Q2102994) (← links)
- Bayesian inverse reinforcement learning for collective animal movement (Q2154196) (← links)
- A higher-order singular value decomposition tensor emulator for spatiotemporal simulators (Q2163486) (← links)
- Measuring, mapping, and uncertainty quantification in the space-time cube (Q2206759) (← links)
- A Bayesian Markov model with Pólya-gamma sampling for estimating individual behavior transition probabilities from accelerometer classifications (Q2209875) (← links)
- Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models (Q2261036) (← links)
- A conversation with Noel Cressie (Q2325641) (← links)
- Bayesian binomial mixture models for estimating abundance in ecological monitoring studies (Q2349555) (← links)
- A Bayesian tutorial for data assimilation (Q2371188) (← links)
- Approximate importance sampling Monte Carlo for data assimilation (Q2371191) (← links)
- Comparison of deep neural networks and deep hierarchical models for spatio-temporal data (Q2419837) (← links)
- Small area estimation via multivariate Fay-Herriot models with latent spatial dependence (Q2788931) (← links)
- Bayesian IRT models incorporating general and specific abilities (Q2864533) (← links)
- (Q3058567) (← links)
- Modeling Complex Phenotypes: Generalized Linear Models Using Spectrogram Predictors of Animal Communication Signals (Q3064287) (← links)
- Bayesian Analysis of Spatially-Dependent Functional Responses with Spatially-Dependent Multi-Dimensional Functional Predictors (Q3195200) (← links)
- A kernel-based spectral model for non-Gaussian spatio-temporal processes (Q3427637) (← links)
- Multiresolution models for nonstationary spatial covariance functions (Q3427639) (← links)
- (Q4250336) (← links)
- Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds (Q4419428) (← links)
- (Q4497811) (← links)
- (Q4510965) (← links)
- Hierarchical Models in Environmental Science (Q4832049) (← links)
- A dimension-reduced approach to space-time Kalman filtering (Q4937272) (← links)
- (Q4938815) (← links)
- Predicting infectious disease outbreak risk via migratory waterfowl vectors (Q5128947) (← links)
- Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models (Q5130628) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- Random set modelling of three-dimensional objects in a hierarchical Bayesian context (Q5219210) (← links)
- Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process (Q5220360) (← links)
- Statistical Agent-Based Models for Discrete Spatio-Temporal Systems (Q5254951) (← links)
