Pages that link to "Item:Q2316985"
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The following pages link to High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985):
Displaying 13 items.
- A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes (Q2044272) (← links)
- Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths (Q2078796) (← links)
- A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter (Q2194470) (← links)
- High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985) (← links)
- Bayesian Approaches to Shrinkage and Sparse Estimation (Q5100721) (← links)
- Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
- Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties (Q6055532) (← links)
- Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin (Q6055671) (← links)
- Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference (Q6079782) (← links)
- A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments (Q6113075) (← links)
- Improved inference for doubly robust estimators of heterogeneous treatment effects (Q6589258) (← links)
- The how and why of Bayesian nonparametric causal inference (Q6601995) (← links)
- Comment: Regularization via Bayesian Penalty Mixing (Q6636562) (← links)
