Causal inference methods for supporting, understanding, and improving decision-making

Causal inference methods for supporting, understanding, and improving decision-making

<p>Causality and the ability to reason about cause-and-effect relationships are central to decision-making. This thesis contributes to the area of causal inference by proposing new machine learning methods that can be used for supporting, understanding, and improving decision-making, with a fo...

Bibliográfalaš dieđut
Váldodahkki:	Bica, I
Eará dahkkit:	van der Schaar, M
Materiálatiipa:	Oahppočájánas
Giella:	English
Almmustuhtton:	2022
Fáttát:	Machine learning

Geahča maid

Interpretable causal systems: interpretability and causality in machine learning for human and nonhuman decision-making
Dahkki: Graham, L
Almmustuhtton: (2020)

Large scale methods for kernels, causal inference and survival modelling
Dahkki: Hu, R
Almmustuhtton: (2022)

Causal ML: Python package for causal inference machine learning
Dahkki: Yang Zhao, et al.
Almmustuhtton: (2023-02-01)

Deep learning for causal inference on electronic health records
Dahkki: Rao, S
Almmustuhtton: (2023)

Causal evidence in health decision making: methodological approaches of causal inference and health decision science
Dahkki: Kühne, Felicitas, et al.
Almmustuhtton: (2022-12-01)

Intelligent Agents and Causal Inference: Enhancing Decision-Making through Causal Reasoning
Dahkki: Jairo Iván Vélez Bedoya, et al.
Almmustuhtton: (2024-04-01)

Flexible and efficient simulation-based inference for models of decision-making
Dahkki: Jan Boelts, et al.
Almmustuhtton: (2022-07-01)

Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach
Dahkki: Hang Wu, et al.
Almmustuhtton: (2024-09-01)

Transfer in sequential decision making
Dahkki: Luketina, J
Almmustuhtton: (2023)

Causal inference and machine learning in endocrine epidemiology
Dahkki: Kosuke Inoue
Almmustuhtton: (2024-10-01)

Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
Dahkki: Hugo Bodory, et al.
Almmustuhtton: (2024-07-01)

Application and Prospects of Causal Inference in Microbiological Research
Dahkki: DOU Xin, LIU Yangtai, PEI Xiaoyan, DONG Qingli
Almmustuhtton: (2023-05-01)

Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge
Dahkki: Paola Lecca
Almmustuhtton: (2021-09-01)

Decision-making support system for diagnosis of oncopathologies by histological images
Dahkki: Anatoliy Dovbysh, et al.
Almmustuhtton: (2023-01-01)

Causality inference of nominal variables: A statistical simulation method
Dahkki: WenJun Zhang
Almmustuhtton: (2021-12-01)

Corrigendum: Machine Learning for Causal Inference in Biological Networks: Perspectives of This Challenge
Dahkki: Paola Lecca
Almmustuhtton: (2022-04-01)

Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science
Dahkki: Talko B. Dijkhuis, et al.
Almmustuhtton: (2022-07-01)

Causal inference in AI education: A primer
Dahkki: Forney Andrew, et al.
Almmustuhtton: (2022-07-01)

Improved decision making with similarity based machine learning: applications in chemistry
Dahkki: Dominik Lemm, et al.
Almmustuhtton: (2023-01-01)

A statistical simulation method for causality inference of Boolean variables
Dahkki: WenJun Zhang
Almmustuhtton: (2021-12-01)

Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks
Dahkki: Markus Rabe, et al.
Almmustuhtton: (2021-01-01)

Causal Inference in Threshold Regression and the Neural Network Extension (TRNN)
Dahkki: Yiming Chen, et al.
Almmustuhtton: (2023-04-01)

Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
Dahkki: Mi Jin Noh, et al.
Almmustuhtton: (2025-01-01)

Big Data, Data Science, and Causal Inference: A Primer for Clinicians
Dahkki: Yoshihiko Raita, et al.
Almmustuhtton: (2021-07-01)

Understanding approximation for Bayesian inference in neural networks
Dahkki: Farquhar, S
Almmustuhtton: (2022)

Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water
Dahkki: Min Han, et al.
Almmustuhtton: (2024-02-01)

Optimization and imitation for pandemic policy and financial decision making
Dahkki: Fu, Y
Almmustuhtton: (2023)

Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
Dahkki: Rahman Ali, et al.
Almmustuhtton: (2023-11-01)

Detection of Decision-Making Manipulation in the Pairwise Comparison Method
Dahkki: Michał Strada, et al.
Almmustuhtton: (2024-10-01)

Inferring the heterogeneous effect of urban land use on building height with causal machine learning
Dahkki: Yimin Chen, et al.
Almmustuhtton: (2024-12-01)

Causality inference of linearly correlated variables: The statistical simulation and regression method
Dahkki: WenJun Zhang
Almmustuhtton: (2021-12-01)

Learning and inference over relational data
Dahkki: Abboud, R
Almmustuhtton: (2022)

Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation
Dahkki: Madhu Yadav, et al.
Almmustuhtton: (2024-06-01)

Application of machine learning approaches in supporting irrigation decision making: A review
Dahkki: Lisa Umutoni, et al.
Almmustuhtton: (2024-04-01)

Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note
Dahkki: Zhongheng Zhang, et al.
Almmustuhtton: (2022-12-01)

Neural networks for inference, inference for neural networks
Dahkki: Webb, S
Almmustuhtton: (2018)

Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
Dahkki: Fernanda C. Dórea, et al.
Almmustuhtton: (2021-03-01)

Research on a Decision Prediction Method Based on Causal Inference and a Multi-Expert FTOPJUDGE Mechanism
Dahkki: Qiang Zhao, et al.
Almmustuhtton: (2022-06-01)

Predicting metabolic syndrome using decision tree and support vector machine methods
Dahkki: Farzaneh Karimi-Alavijeh, et al.
Almmustuhtton: (2016-06-01)

A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
Dahkki: Amirreza Salehi Amiri, et al.
Almmustuhtton: (2024-09-01)