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Found 5 papers, 1 papers with code
Causal Estimation with Functional Confounders
Causal inference relies on two fundamental assumptions: ignorability and positivity.
X-CAL: Explicit Calibration for Survival Analysis
A survival model's calibration can be measured using, for instance, distributional calibration (D-CALIBRATION) [Haider et al., 2020] which computes the squared difference between the observed and predicted number of events within different time intervals.
The Counterfactual $χ$-GAN
Effect estimates, such as the average treatment effect (ATE), are then estimated as expectations under the reweighted or matched distribution, P .
Hierarchically Supervised Latent Dirichlet Allocation
We introduce hierarchically supervised latent Dirichlet allocation (HSLDA), a model for hierarchically and multiply labeled bag-of-word data.
A Bayesian Analysis of Dynamics in Free Recall
We develop a probabilistic model of human memory performance in free recall experiments.
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