The following pages link to (Q4092750):
Displaying 50 items.
- Gibbs point process approximation: total variation bounds using Stein's method (Q465467) (← links)
- On stationarity and second-order properties of bilinear random fields (Q466054) (← links)
- Bayesian computation for statistical models with intractable normalizing constants (Q470373) (← links)
- Estimation of high-dimensional partially-observed discrete Markov random fields (Q470504) (← links)
- Examining extreme weather effects on birth weight from the individual effect to spatiotemporal aggregation effects (Q484691) (← links)
- Spatial regression modeling for compositional data with many zeros (Q486044) (← links)
- On estimation and selection of autologistic regression models via penalized pseudolikelihood (Q486061) (← links)
- Non-nested testing of spatial correlation (Q494415) (← links)
- Construction of binary multi-grid Markov random field prior models from training images (Q500730) (← links)
- Bayesian graphical models for differential pathways (Q516442) (← links)
- Exploiting multi-core architectures for reduced-variance estimation with intractable likelihoods (Q516453) (← links)
- Pre-surgical fMRI data analysis using a spatially adaptive conditionally autoregressive model (Q516492) (← links)
- MIMCA: multiple imputation for categorical variables with multiple correspondence analysis (Q518262) (← links)
- Binary Markov random fields and interpretable mass spectra discrimination (Q523937) (← links)
- Modelling data observed irregularly over space and regularly in time (Q537222) (← links)
- A spatial analysis of multivariate output from regional climate models (Q542461) (← links)
- Asymptotic inference for a one-dimensional simultaneous autoregressive model (Q548172) (← links)
- Neighborhood radius estimation for variable-neighborhood random fields (Q554466) (← links)
- Temporal aggregation in chain graph models (Q556436) (← links)
- Local linear spatial quantile regression (Q605017) (← links)
- A note on the properties of generalised separable spatial autoregressive process (Q609688) (← links)
- Modeling large scale species abundance with latent spatial processes (Q614156) (← links)
- A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data (Q635417) (← links)
- Yule-Walker estimation for the moving-average model (Q638025) (← links)
- Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (Q652363) (← links)
- Spatial analysis of auto-multivariate lattice data (Q657081) (← links)
- Bayesian filtering and supervised classification in image remote sensing (Q672016) (← links)
- Logit models and logistic regressions for social networks. I: An introduction to Markov graphs and \(p^*\) (Q676466) (← links)
- Near universal consistency of the maximum pseudolikelihood estimator for discrete models (Q684065) (← links)
- Bivariate distributions with diatomic conditionals and stop-loss transforms of random sums (Q689560) (← links)
- A Bayesian analysis of a simultaneous equations model for insurance rate-making (Q689568) (← links)
- A simple additivity test for conditionally heteroscedastic nonlinear autoregression (Q693254) (← links)
- Nonconcave penalized composite conditional likelihood estimation of sparse Ising models (Q693730) (← links)
- Likelihood-based estimation for Gaussian MRFs (Q713629) (← links)
- A spatially adaptive conditional autoregressive prior for area health data (Q713894) (← links)
- Spatio-temporal modeling of sudden infant death syndrome data (Q713929) (← links)
- Bayesian model selection in spatial lattice models (Q713943) (← links)
- Variational Bayesian strategies for high-dimensional, stochastic design problems (Q729450) (← links)
- On composite marginal likelihoods (Q732228) (← links)
- Dynamic models of animal movement with spatial point process interactions (Q736727) (← links)
- A similarity-based approach to prediction (Q737889) (← links)
- Spatial robust small area estimation (Q744798) (← links)
- Learning relational dependency networks in hybrid domains (Q747248) (← links)
- Poisson dependency networks: gradient boosted models for multivariate count data (Q747270) (← links)
- Measuring the severity of disease clustering using Tango's index (Q807503) (← links)
- Bayesian models for medical image biology using Monte Carlo Markov chains techniques (Q815402) (← links)
- Total positivity in exponential families with application to binary variables (Q820806) (← links)
- Disease mapping models for data with weak spatial dependence or spatial discontinuities (Q829910) (← links)
- Fast Bayesian estimation of spatial count data models (Q830478) (← links)
- Large-scale estimation of random graph models with local dependence (Q830532) (← links)
