The following pages link to (Q3058567):
Displaying 50 items.
- Cox Point Processes: Why One Realisation Is Not Enough (Q6086617) (← links)
- A general framework for spatial GARCH models (Q6089305) (← 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)
- Resolving the Antarctic contribution to sea‐level rise: a hierarchical modelling framework (Q6090033) (← links)
- Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties (Q6090034) (← links)
- Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations (Q6090035) (← links)
- Spatial sampling on streams: principles for inference on aquatic networks (Q6090038) (← links)
- Estimation of the Spatial Weighting Matrix for Spatiotemporal Data under the Presence of Structural Breaks (Q6094098) (← links)
- Actual error rates in linear discrimination of spatial Gaussian data in terms of semivariograms (Q6106258) (← links)
- Spatial change of support models for differentially private decennial census counts of persons by detailed race and ethnicity (Q6106267) (← links)
- Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks (Q6109143) (← links)
- Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
- Spatio-temporal generalized complex covariance models based on convolution (Q6115523) (← links)
- A test for the absence of aliasing or white noise in two-dimensional locally stationary wavelet processes (Q6117019) (← links)
- Conditional sequential Monte Carlo in high dimensions (Q6117026) (← links)
- Joint Bayesian analysis of multiple response-types using the hierarchical generalized transformation model (Q6121614) (← links)
- A Review of Data‐Driven Discovery for Dynamic Systems (Q6131430) (← links)
- Bayesian hierarchical modeling and analysis for actigraph data from wearable devices (Q6138608) (← links)
- Mid‐twenty‐first‐century projected trends in North American heating and cooling degree days (Q6139132) (← links)
- Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise (Q6139134) (← links)
- Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring (Q6139164) (← links)
- Hierarchical regularization networks for sparsification based learning on noisy datasets (Q6154220) (← links)
- Spatiotemporal local interpolation of global ocean heat transport using argo floats: a debiased latent Gaussian process approach (Q6161887) (← links)
- Bayesian spatiotemporal modeling for inverse problems (Q6172144) (← links)
- Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference (Q6172908) (← links)
- Concentration of measure bounds for matrix-variate data with missing values (Q6178556) (← links)
- Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models (Q6179612) (← links)
- A model‐based approach for analog spatio‐temporal dynamic forecasting (Q6179615) (← links)
- Optimal dynamic spatial sampling (Q6179636) (← links)
- Hierarchical animal movement models for population‐level inference (Q6179641) (← links)
- Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques (Q6188255) (← links)
- A flexible Clayton-like spatial copula with application to bounded support data (Q6200954) (← links)
- Global–local shrinkage multivariate logit-beta priors for multiple response-type data (Q6494412) (← 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)
- An ensemble quadratic echo state network for non-linear spatio-temporal forecasting (Q6540526) (← links)
- Marginal maximum likelihood estimation of conditional autoregressive models with missing data (Q6541501) (← links)
- Conjugate Bayesian unit-level modelling of count data under informative sampling designs (Q6541551) (← links)
- A spatiotemporal case-crossover model of asthma exacerbation in the City of Houston (Q6541768) (← links)
- Empirical Bayesian analysis through the lens of a particular class of constrained Bayesian hierarchical models (Q6541816) (← links)
- Multilevel varying coefficient spatiotemporal model (Q6543854) (← links)
- A space-time model with temporal cyclostationarity for probabilistic forecasting and simulation of solar irradiance data (Q6548833) (← links)
- Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation (Q6554236) (← links)
- A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics (Q6562802) (← links)
- Pitman Medal 2013 and 2014 (Q6569939) (← links)
- Integrated nested Laplace approximations for large-scale spatiotemporal Bayesian modeling (Q6575345) (← links)
- A diffusion-based spatio-temporal extension of Gaussian Matérn fields (Q6583113) (← links)
- Bayesian spatial and spatiotemporal models based on multiscale factorizations (Q6602108) (← links)
