Search Results for author: Sally W. Thurston

Found 3 papers, 2 papers with code

Testing Sparsity Assumptions in Bayesian Networks

no code implementations12 Jul 2023 Luke Duttweiler, Sally W. Thurston, Anthony Almudevar

Bayesian network (BN) structure discovery algorithms typically either make assumptions about the sparsity of the true underlying network, or are limited by computational constraints to networks with a small number of variables.

Inference for relative sparsity

1 code implementation25 Jun 2023 Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie

Further, in the relative sparsity work, the authors only considered the single-stage decision case; here, we consider the more general, multi-stage case.

Relative Sparsity for Medical Decision Problems

1 code implementation29 Nov 2022 Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie

This end is facilitated if one can pinpoint the aspects of the policy (i. e., the parameters for blood pressure and heart rate) that change when moving from the standard of care to the new, suggested policy.

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