The following pages link to (Q3058567):
Displaying 50 items.
- A Monte Carlo approach to quantifying discrepancies between intractable posterior distributions (Q5106878) (← links)
- A Stationary Spatio‐Temporal GARCH Model (Q5111841) (← links)
- Predicting infectious disease outbreak risk via migratory waterfowl vectors (Q5128947) (← links)
- Spatial modeling of extreme rainfall in northeast Thailand (Q5130297) (← links)
- Hierarchical Bayesian modeling of marked non-homogeneous Poisson processes with finite mixtures and inclusion of covariate information (Q5130552) (← links)
- Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models (Q5130628) (← links)
- Spatio-temporal model for crop yield forecasting (Q5138547) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- MORTALITY FORECASTING WITH A SPATIALLY PENALIZED SMOOTHED VAR MODEL (Q5157767) (← links)
- Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes (Q5206142) (← links)
- (Q5207218) (← links)
- Random set modelling of three-dimensional objects in a hierarchical Bayesian context (Q5219210) (← links)
- Efficient estimation for the conditional autoregressive model (Q5220891) (← links)
- Hierarchical spatially varying coefficient and temporal dynamic process models using<tt>spTDyn</tt> (Q5222376) (← links)
- Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (Q5222497) (← links)
- Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events (Q5229893) (← links)
- Rising Above Chaotic Likelihoods (Q5269862) (← links)
- Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables (Q5377196) (← links)
- Spatio‐temporal models for big multinomial data using the conditional multivariate logit‐beta distribution (Q5377202) (← links)
- A Spatial Cross-Sectional Credibility Model with Dependence Among Risks (Q5379159) (← links)
- Factor Copula Approaches for Assessing Spatially Dependent High-Dimensional Risks (Q5379211) (← links)
- Probabilistic reanalysis of storm surge extremes in Europe (Q5854804) (← links)
- Spatio-temporal Trend Analysis of Spring Arrival Data for Migratory Birds (Q5860256) (← links)
- Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation (Q5862897) (← links)
- Spatio-temporal parse network-based trajectory modeling on the dynamics of criminal justice system (Q5865425) (← links)
- Modeling Dependence in Spatio-Temporal Econometrics (Q5871006) (← links)
- A Mechanistic Model of Annual Sulfate Concentrations in the United States (Q5881111) (← links)
- Nonparametric Empirical Bayes Prediction (Q5881119) (← links)
- Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes (Q5881150) (← links)
- Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains (Q5885120) (← links)
- Performance of the supervised generative classifiers of spatio-temporal areal data using various spatial autocorrelation indexes (Q5885987) (← links)
- Segmentation uncertainty in multiple change-point models (Q5962741) (← links)
- Modern statistical methods in oceanography: a hierarchical perspective (Q5965037) (← links)
- Uncertainty quantification in complex simulation models using ensemble copula coupling (Q5965044) (← links)
- A general framework for Vecchia approximations of Gaussian processes (Q6032766) (← links)
- Principal Component Analysis of Spatially Indexed Functions (Q6044633) (← links)
- Count Time Series: A Methodological Review (Q6044640) (← links)
- Distributed nearest-neighbor Gaussian processes (Q6049859) (← links)
- Scalable semiparametric spatio-temporal regression for large data analysis (Q6050902) (← links)
- A few statistical principles for data science (Q6051623) (← links)
- A TMB approach to study spatial variation in weather-generated claims in insurance (Q6063793) (← links)
- Penalty and related estimation strategies in the spatial error model (Q6064124) (← links)
- Second‐order analysis of anisotropic spatiotemporal point process data (Q6066193) (← links)
- Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators (Q6069045) (← links)
- Physical‐statistical modelling (Q6069125) (← links)
- A statistical overview and perspectives on data assimilation for marine biogeochemical models (Q6069126) (← links)
- Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef (Q6069128) (← links)
- Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties (Q6074531) (← links)
- Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
- Modeling Temporally Evolving and Spatially Globally Dependent Data (Q6086581) (← links)
