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An Introduction and Tutorial to Fitting (Time-Dependent) Diffusion Models with the R-Package dRiftDM
16 references·0 citing·42 second hop
An Introduction and Tutorial to Fitting (Time-Dependent) Diffusion Models with the R-Package dRiftDM (2024)An Introduction and Tutorial to Fitting (…“Reliable organisms from unreliable components” revisited: the linear drift, linear infinitesimal variance model of decision making (2023)“Reliable organisms from unre…The role of passing time in decision-making. 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References

  • 2006Stochastic Differential Equations—An Introduction With Applications1,648 cited
  • 2013HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python1,043 cited
  • 2019Addressing the theory crisis in psychology462 cited
  • 2013Diffusion Models in Experimental Psychology411 cited
  • 2007Fast-dm: A free program for efficient diffusion model analysis385 cited
  • 2015Assessing cognitive processes with diffusion model analyses: a tutorial based on fast-dm-30235 cited
  • 2007Process components of the Implicit Association Test: A diffusion-model analysis.233 cited
  • 1992Fundamental derivations from decision field theory161 cited
  • 2003Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time141 cited
  • 2016Comparing fixed and collapsing boundary versions of the diffusion model93 cited
  • 2012Parameter variability and distributional assumptions in the diffusion model.91 cited
  • 2008The EZ diffusion method: Too EZ?62 cited
  • 2019The role of passing time in decision-making.62 cited
  • 1992A general nonstationary diffusion model for two-choice decision-making39 cited
  • 2016Multi-stage sequential sampling models with finite or infinite time horizon and variable boundaries

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29 cited
  • 2023“Reliable organisms from unreliable components” revisited: the linear drift, linear infinitesimal variance model of decision making17 cited
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