The following pages link to (Q3058567):
Displaying 38 items.
- 30 years of space-time covariance functions (Q6602109) (← links)
- Time series clustering and classification via frequency domain methods (Q6602214) (← links)
- The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems (Q6604263) (← links)
- Regularity theory for a new class of fractional parabolic stochastic evolution equations (Q6606155) (← links)
- PPA investments of minimal variability (Q6610448) (← links)
- Missing data imputation for paired stream and air temperature sensor data (Q6625830) (← links)
- Sparsity in nonlinear dynamic spatiotemporal models using implied advection (Q6625866) (← links)
- Bayesian inference in time-varying additive hazards models with applications to disease mapping (Q6626004) (← links)
- A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends (Q6626025) (← links)
- Bayesian model -- data synthesis with an application to global glacio-isostatic adjustment (Q6626029) (← links)
- A spatio-temporal approach to estimate patterns of climate change (Q6626033) (← links)
- Spatiotemporal modeling of hydrological return levels: a quantile regression approach (Q6626044) (← links)
- Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support (Q6626062) (← links)
- Deep echo state networks with uncertainty quantification for spatio-temporal forecasting (Q6626063) (← links)
- Bayesian spatiotemporal modeling for estimating short-term exposure to air pollution in Santiago de Chile (Q6626094) (← links)
- An additive approximate Gaussian process model for large spatio-temporal data (Q6626104) (← links)
- Spatio-temporal data fusion for massive sea surface temperature data from MODIS and AMSR-E instruments (Q6626131) (← links)
- Nonlinear reaction-diffusion process models improve inference for population dynamics (Q6626141) (← links)
- Bayesian inference for finite populations under spatial process settings (Q6626144) (← links)
- Modeling sea-level processes on the U.S. Atlantic Coast (Q6626149) (← links)
- Incorporating covariate information in the covariance structure of misaligned spatial data (Q6626170) (← links)
- On modeling positive continuous data with spatiotemporal dependence (Q6626180) (← links)
- A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing (Q6626372) (← links)
- A spatiotemporal model for multivariate occupancy data (Q6626378) (← links)
- On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics (Q6626399) (← links)
- Spatiotemporal clustering using Gaussian processes embedded in a mixture model (Q6626407) (← links)
- Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables (Q6626416) (← links)
- An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
- The scope of the Kalman filter for spatio-temporal applications in environmental science (Q6626546) (← links)
- Multivariate nearest-neighbors Gaussian processes with random covariance matrices (Q6626655) (← links)
- Multilevel modeling of spatially nested functional data: spatiotemporal patterns of hospitalization rates in the US dialysis population (Q6628414) (← links)
- Nonparametric estimation of the spatio-temporal covariance structure (Q6628717) (← links)
- Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions (Q6631167) (← links)
- Functional Autoregression for Sparsely Sampled Data (Q6634844) (← links)
- A spatio-temporal model and inference tools for longitudinal count data on multicolor cell growth (Q6636176) (← links)
- Deep Latent Factor Model for Spatio-Temporal Forecasting (Q6637473) (← links)
- Finite population survey sampling: an unapologetic Bayesian perspective (Q6648792) (← links)
- Gaussian variational approximations for high-dimensional state space models (Q6650966) (← links)
