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                             28 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al. (2019) Wilson, Michael David
2019
2 3-4 p. 239-241
artikel
2 All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al. (2019) Wilson, Micah K.

2 3-4 p. 239-241
artikel
3 A Model Hierarchy for Psychological Science Kellen, David
2019
2 3-4 p. 160-165
artikel
4 Beyond Registration Pre and Post Boeck, Paul De
2019
2 3-4 p. 183-186
artikel
5 Blinded Inference: an Opportunity for Mathematical Modelers to Lead the Way in Research Reform Starns, Jeffrey J.
2019
2 3-4 p. 223-228
artikel
6 Commentary on “Robust Modeling in Cognitive Science: Misunderstanding the Goal of Modeling” Shiffrin, Richard M.
2019
2 3-4 p. 176-178
artikel
7 Cultural Problems Cannot Be Solved with Technical Solutions Alone Lilburn, Simon D.
2019
2 3-4 p. 170-175
artikel
8 Interpreting Model Comparison Requires Understanding Model-Stimulus Relationships Broomell, Stephen B.
2019
2 3-4 p. 233-238
artikel
9 Maximizing the Expected Information Gain of Cognitive Modeling via Design Optimization Heck, Daniel W.
2019
2 3-4 p. 202-209
artikel
10 Need of Mathematical Formalism in Proposals for Robust Modeling Buzbas, Erkan
2019
2 3-4 p. 197-199
artikel
11 Neglected Sources of Flexibility in Psychological Theories: from Replicability to Good Explanations Szollosi, Aba
2019
2 3-4 p. 190-192
artikel
12 On Testing and Developing Cognitive Models Palmeri, Thomas J.
2019
2 3-4 p. 193-196
artikel
13 On the Importance of Power Analyses for Cognitive Modeling Gluth, Sebastian
2019
2 3-4 p. 266-270
artikel
14 Potential Contributions of Clinical Mathematical Psychology to Robust Modeling in Cognitive Science Neufeld, Richard W. J.
2019
2 3-4 p. 251-254
artikel
15 Preregistration of Modeling Exercises May Not Be Useful MacEachern, Steven N.
2019
2 3-4 p. 179-182
artikel
16 Promoting Cumulation in models of the human mind Gunzelmann, Glenn
2019
2 3-4 p. 157-159
artikel
17 Robust Diversity in Cognitive Science Vandekerckhove, Joachim
2019
2 3-4 p. 271-276
artikel
18 Robust Modeling in Cognitive Science Lee, Michael D.
2019
2 3-4 p. 141-153
artikel
19 Robust Modeling Through Design Optimization Pitt, Mark A.
2019
2 3-4 p. 200-201
artikel
20 Robust Standards in Cognitive Science Crüwell, Sophia
2019
2 3-4 p. 255-265
artikel
21 The Experiment is just as Important as the Likelihood in Understanding the Prior: a Cautionary Note on Robust Cognitive Modeling Kennedy, Lauren
2019
2 3-4 p. 210-217
artikel
22 The Importance of Standards for Sharing of Computational Models and Data Poldrack, Russell A
2019
2 3-4 p. 229-232
artikel
23 The Many Functions of Quantitative Modeling Cox, David J.
2019
2 3-4 p. 166-169
artikel
24 The Really Risky Registered Modeling Report: Incentivizing Strong Tests and HONEST Modeling in Cognitive Science Vanpaemel, Wolf
2019
2 3-4 p. 218-222
artikel
25 Towards Replication in Computational Cognitive Modeling: a Machine Learning Perspective Emmery, Chris
2019
2 3-4 p. 242-246
artikel
26 We Have Not Looked at Our Results Until We Have Displayed Them Effectively: a Comment on Robust Modeling in Cognitive Science Blaha, Leslie M.
2019
2 3-4 p. 247-250
artikel
27 What Does It Mean for Psychological Modeling to Be More Robust? Gluck, Kevin A.
2019
2 3-4 p. 154-156
artikel
28 What Do the Rules for the Wrong Game Tell us About How to Play the Right Game? Heathcote, Andrew
2019
2 3-4 p. 187-189
artikel
                             28 gevonden resultaten
 
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