Pages that link to "Item:Q434397"
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The following pages link to Bayesian spatial regression models with closed skew normal correlated errors and missing observations (Q434397):
Displaying 17 items.
- Kernel regression estimation for incomplete data with applications (Q513697) (← links)
- Bayesian spatial prediction for discrete closed skew Gaussian random field (Q638573) (← links)
- Quantile regression and its empirical likelihood with missing response at random (Q725686) (← links)
- Bayesian analysis of regression models with spatially correlated errors and missing observations (Q1603673) (← links)
- Kalman filter variants in the closed skew normal setting (Q1623467) (← links)
- Kernel classification with missing data and the choice of smoothing parameters (Q2010808) (← links)
- Approximate pairwise likelihood inference in SGLM models with skew normal latent variables (Q2043191) (← links)
- Bayesian prediction of spatial data with non-ignorable missingness (Q2062380) (← links)
- Sure independence screening in the presence of missing data (Q2066525) (← links)
- Some properties of the unified skew-normal distribution (Q2122825) (← links)
- A skewed unscented Kalman filter (Q2979577) (← links)
- Performance of extrapolation based on Pitman's measure of closeness in spatial regression models with extended skew t innovations (Q5022773) (← links)
- Modeling additive genetic effects in animal models by closed skew normal distribution (Q5082885) (← links)
- Approximate likelihood inference in spatial generalized linear mixed models with closed skew normal latent variables (Q5087924) (← links)
- Bayesian Analysis of Skew Gaussian Spatial Models Based on Censored Data (Q5860247) (← links)
- Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data (Q6079471) (← links)
- A Hamiltonian Monte Carlo EM algorithm for generalized linear mixed models with spatial skew latent variables (Q6549174) (← links)
