• The University of Western Australia (M304), 35 Stirling Highway,

    6009 Perth

    Australia

  • 36 Citations
  • 3 h-Index
20172019
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Fingerprint Dive into the research topics where Luke Strickland is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Episodic Memory Medicine & Life Sciences
Decision Theory Medicine & Life Sciences
Aviation Medicine & Life Sciences
Data storage equipment Engineering & Materials Science
air traffic control Social Sciences
Air traffic control Engineering & Materials Science
Bayes Theorem Medicine & Life Sciences
Costs and Cost Analysis Medicine & Life Sciences

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Research Output 2017 2019

  • 36 Citations
  • 3 h-Index
  • 9 Article
  • 1 Chapter
  • 1 Doctoral Thesis

All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al. (2019)

Wilson, M., Boag, R. & Strickland, L., 12 Aug 2019, In : Computational Brain & Behavior.

Research output: Contribution to journalArticle

modeling
containerization
transparency
gold
experiment
2 Citations (Scopus)

Cognitive control and capacity for prospective memory in complex dynamic environments

Boag, R., Strickland, L., Heathcote, A., Neal, A. & Loft, S., 2019, In : Journal of Experimental Psychology: General.

Research output: Contribution to journalArticle

Episodic Memory
Task Performance and Analysis
Aviation
Resource Allocation
13 Citations (Scopus)

Dynamic models of choice

Heathcote, A., Lin, Y. S., Reynolds, A., Strickland, L., Gretton, M. & Matzke, D., Apr 2019, In : Behavior Research Methods. 51, 2, p. 961–985 25 p.

Research output: Contribution to journalArticle

Bayes Theorem
Aptitude
Decision Support Techniques
Practice Guidelines
Reaction Time

Evidence accumulation modeling of event-based prospective memory

Strickland, L., Loft, S. & Heathcote, A., 10 Jun 2019, Prospective memory. Rummel, J. & McDaniel, M. A. (eds.). 1st ed. London: Routledge, p. 78-94 17 p. (Current issues in memory).

Research output: Chapter in Book/Conference paperChapter

modeling
accumulation rate
cost
decision

Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods

Lin, Y. S. & Strickland, L., 12 Aug 2019, (Accepted/In press) In : The Quantitative Methods for Psychology.

Research output: Contribution to journalArticle

Open Access
File
Bayesian methods
Software
Numerical methods
Markov chain Monte Carlo
Response time