David Graham Wyrick

David Graham Wyrick

University of Oregon

H-index: 4

North America-United States

About David Graham Wyrick

David Graham Wyrick, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Oregon, specializes in the field of Computational Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection

IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning

Reflections on evolving conceptions of selection bias

Evaluation of Active Feature Acquisition Methods for Static Feature Settings

Searching for explanations: Testing social scientific methods in synthetic ground-truthed worlds

Controlling the chaos: Information management in home-infusion central-line–associated bloodstream infection (CLABSI) surveillance

Simple graphical criteria for selection bias in general-population and selected-sample treatment effects

Differential encoding of temporal context and expectation under representational drift across hierarchically connected areas

David Graham Wyrick Information

University

Position

___

Citations(all)

77

Citations(since 2020)

64

Cited By

22

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

University of Oregon

Google Scholar

View Google Scholar Profile

David Graham Wyrick Skills & Research Interests

Computational Neuroscience

Top articles of David Graham Wyrick

Title

Journal

Author(s)

Publication Date

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection

arXiv preprint arXiv:2404.06602

Jaron JR Lee

AmirEmad Ghassami

Ilya Shpitser

2024/4/9

IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning

IEEE Transactions on Neural Networks and Learning Systems

Kun Zhang

Ilya Shpitser

Sara Magliacane

Davide Bacciu

Fei Wu

...

2024/4/4

Reflections on evolving conceptions of selection bias

Maya B Mathur

Ilya Shpitser

2024/1/17

Evaluation of Active Feature Acquisition Methods for Static Feature Settings

arXiv preprint arXiv:2312.03619

Henrik von Kleist

Alireza Zamanian

Ilya Shpitser

Narges Ahmidi

2023/12/6

Searching for explanations: Testing social scientific methods in synthetic ground-truthed worlds

Computational and Mathematical Organization Theory

Aurora C Schmidt

Christopher J Cameron

Corey Lowman

Joshua Brulé

Amruta J Deshpande

...

2023/3/1

Controlling the chaos: Information management in home-infusion central-line–associated bloodstream infection (CLABSI) surveillance

Antimicrobial Stewardship & Healthcare Epidemiology

Susan M Hannum

Opeyemi Oladapo-Shittu

Alejandra B Salinas

Kimberly Weems

Jill Marsteller

...

2023

Simple graphical criteria for selection bias in general-population and selected-sample treatment effects

Maya Mathur

Ilya Shpitser

2023/4/24

Differential encoding of temporal context and expectation under representational drift across hierarchically connected areas

bioRxiv

David G Wyrick

Nicholas Cain

Rylan S Larsen

Jérôme Lecoq

Matthew Valley

...

2023/6/5

Causal determinants of postoperative length of stay in cardiac surgery using causal graphical learning

The Journal of Thoracic and Cardiovascular Surgery

Jaron JR Lee

Ranjani Srinivasan

Chin Siang Ong

Diane Alejo

Stefano Schena

...

2023/11/1

A self‐censoring model for multivariate nonignorable nonmonotone missing data

Biometrics

Yilin Li

Wang Miao

Ilya Shpitser

Eric J Tchetgen Tchetgen

2023/12

The proximal id algorithm

Journal of Machine Learning Research

Ilya Shpitser

Zach Wood-Doughty

Eric J Tchetgen Tchetgen

2023

THE ANNALS

The Annals of Probability

PETER K FRIZ

PAVEL ZORIN-KRANICH

XIN CHEN

XUEMEI LI

BO WU

...

2023/3

The lauritzen-chen likelihood for graphical models

Ilya Shpitser

2023/4/11

An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research

arXiv preprint arXiv:2310.20468

Jaron JR Lee

Gopika Ajaykumar

Ilya Shpitser

Chien-Ming Huang

2023/10/31

Proximal mediation analysis

Biometrika

Oliver Dukes

Ilya Shpitser

Eric J Tchetgen Tchetgen

2023/12/1

Partial identification of causal effects using proxy variables

arXiv preprint arXiv:2304.04374

AmirEmad Ghassami

Ilya Shpitser

Eric Tchetgen Tchetgen

2023/4/10

Nested Markov properties for acyclic directed mixed graphs

The Annals of Statistics

Thomas S Richardson

Robin J Evans

James M Robins

Ilya Shpitser

2023/2

An automated approach to causal inference in discrete settings

Journal of the American Statistical Association

Guilherme Duarte

Noam Finkelstein

Dean Knox

Jonathan Mummolo

Ilya Shpitser

2023/5/20

Package ‘cfid’

I Shpitser

J Pearl

Santtu Tikka

2023/11/27

Graphical Models of Entangled Missingness

arXiv preprint arXiv:2304.01953

Ranjani Srinivasan

Rohit Bhattacharya

Razieh Nabi

Elizabeth L Ogburn

Ilya Shpitser

2023/4/4

See List of Professors in David Graham Wyrick University(University of Oregon)

Co-Authors

H-index: 28
Cristopher Niell

Cristopher Niell

University of Oregon

H-index: 19
Luca Mazzucato

Luca Mazzucato

University of Oregon

H-index: 17
Yashar Ahmadian

Yashar Ahmadian

University of Oregon

H-index: 15
Matthew Smear

Matthew Smear

University of Oregon

H-index: 10
Philip Ross Lutton Parker

Philip Ross Lutton Parker

University of Oregon

H-index: 5
Elliott T. T. Abe

Elliott T. T. Abe

University of Oregon

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