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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Bica, I
Άλλοι συγγραφείς:	van der Schaar, M
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	2022
Θέματα:	Machine learning

Παρόμοια τεκμήρια

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

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

Causal ML: Python package for causal inference machine learning
ανά: Yang Zhao, κ.ά.
Έκδοση: (2023-02-01)

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

Causal evidence in health decision making: methodological approaches of causal inference and health decision science
ανά: Kühne, Felicitas, κ.ά.
Έκδοση: (2022-12-01)

Intelligent Agents and Causal Inference: Enhancing Decision-Making through Causal Reasoning
ανά: Jairo Iván Vélez Bedoya, κ.ά.
Έκδοση: (2024-04-01)

Flexible and efficient simulation-based inference for models of decision-making
ανά: Jan Boelts, κ.ά.
Έκδοση: (2022-07-01)

Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach
ανά: Hang Wu, κ.ά.
Έκδοση: (2024-09-01)

Transfer in sequential decision making
ανά: Luketina, J
Έκδοση: (2023)

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

Enabling Decision Making with the Modified Causal Forest: Policy Trees for Treatment Assignment
ανά: Hugo Bodory, κ.ά.
Έκδοση: (2024-07-01)

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

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

Decision-making support system for diagnosis of oncopathologies by histological images
ανά: Anatoliy Dovbysh, κ.ά.
Έκδοση: (2023-01-01)

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

Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science
ανά: Talko B. Dijkhuis, κ.ά.
Έκδοση: (2022-07-01)

Causal inference in AI education: A primer
ανά: Forney Andrew, κ.ά.
Έκδοση: (2022-07-01)

Improved decision making with similarity based machine learning: applications in chemistry
ανά: Dominik Lemm, κ.ά.
Έκδοση: (2023-01-01)

Simheuristics Approaches for Efficient Decision-Making Support in Materials Trading Networks
ανά: Markus Rabe, κ.ά.
Έκδοση: (2021-01-01)

Causal Inference in Threshold Regression and the Neural Network Extension (TRNN)
ανά: Yiming Chen, κ.ά.
Έκδοση: (2023-04-01)

Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
ανά: Mi Jin Noh, κ.ά.
Έκδοση: (2025-01-01)

Understanding approximation for Bayesian inference in neural networks
ανά: Farquhar, S
Έκδοση: (2022)

Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
ανά: Rahman Ali, κ.ά.
Έκδοση: (2023-11-01)

Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water
ανά: Min Han, κ.ά.
Έκδοση: (2024-02-01)

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

Detection of Decision-Making Manipulation in the Pairwise Comparison Method
ανά: Michał Strada, κ.ά.
Έκδοση: (2024-10-01)

Inferring the heterogeneous effect of urban land use on building height with causal machine learning
ανά: Yimin Chen, κ.ά.
Έκδοση: (2024-12-01)

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

Learning and inference over relational data
ανά: Abboud, R
Έκδοση: (2022)

Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation
ανά: Madhu Yadav, κ.ά.
Έκδοση: (2024-06-01)

Application of machine learning approaches in supporting irrigation decision making: A review
ανά: Lisa Umutoni, κ.ά.
Έκδοση: (2024-04-01)

Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note
ανά: Zhongheng Zhang, κ.ά.
Έκδοση: (2022-12-01)

Neural networks for inference, inference for neural networks
ανά: Webb, S
Έκδοση: (2018)

Research on a Decision Prediction Method Based on Causal Inference and a Multi-Expert FTOPJUDGE Mechanism
ανά: Qiang Zhao, κ.ά.
Έκδοση: (2022-06-01)

Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
ανά: Fernanda C. Dórea, κ.ά.
Έκδοση: (2021-03-01)

Predicting metabolic syndrome using decision tree and support vector machine methods
ανά: Farzaneh Karimi-Alavijeh, κ.ά.
Έκδοση: (2016-06-01)

A variant-informed decision support system for tackling COVID-19: a transfer learning and multi-attribute decision-making approach
ανά: Amirreza Salehi Amiri, κ.ά.
Έκδοση: (2024-09-01)

Deep transfer learning with Bayesian inference
ανά: Gambardella, A
Έκδοση: (2021)

Evaluating Uses of Deep Learning Methods for Causal Inference
ανά: Albert Whata, κ.ά.
Έκδοση: (2022-01-01)

Representing storylines with causal networks to support decision making: Framework and example
ανά: Taro Kunimitsu, κ.ά.
Έκδοση: (2023-01-01)