Latest Research in Advanced Causal Inference Techniques

Top Research Topics in Advanced Causal Inference Techniques

• Methodology — 17 papers
• Machine Learning — 8 papers
• Machine Learning — 4 papers
• Advanced Causal Inference Techniques — 3 papers
• Statistics Theory — 3 papers
• Statistical Methods and Inference — 2 papers
• Polynomial and algebraic computation — 1 papers
• Machine Learning and Data Classification — 1 papers
• Optimization and Control — 1 papers
• Complex Network Analysis Techniques — 1 papers

Highest-Cited Papers

1. Doubly robust estimation of causal survival effects via inverse probability of treatment and censoring weighting and semi-parametric AFT models with variable selection
2. Regularisation of regression trees by summation of p values
3. Scalable multicollinearity recovery via mixed-integer optimization
4. Doubly robust estimation of monotonic survival curves for time-varying treatments in observational studies
5. Compressed Active Subspaces for Scalable Bayesian Inference
6. Robust Multi-Task Learning for Principal Component Analysis
7. On the Identifiability of Mixed Ordinal and Exponential Family Causal DAGs under Linear Parametric Models
8. Efficient transport and generalization of survival treatment effects
9. Bayesian Optimization with Rich Auxiliary Information via LLMs
10. Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
11. Causal Discovery via Transformed Low-Rank Quantile Surfaces
12. Optimization over covariance matrices with a parameterized metric
13. A Conditional-Distribution Framework for Validating Synthetic Multivariate Data
14. A Ranking Approach for Measuring Calibration
15. A Measure of Predictive Sharpness for Probabilistic Models
16. High-dimensional networks and mean squared error for possibly misspecified models
17. Distribution-free inference on the number of changepoints
18. Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
19. Distributed Lag Neural Additive Models
20. Fast Computation of Nested Cross-Validation for Penalized Regression