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Laura Martignon [5]Laura F. Martignon [1]
  1.  30
    Natural Frequencies Improve Bayesian Reasoning in Simple and Complex Inference Tasks.Ulrich Hoffrage, Stefan Krauss, Laura Martignon & Gerd Gigerenzer - 2015 - Frontiers in Psychology 6.
  2.  69
    Fast, Frugal, and Fit: Simple Heuristics for Paired Comparison.Laura Martignon & Ulrich Hoffrage - 2002 - Theory and Decision 52 (1):29-71.
    This article provides an overview of recent results on lexicographic, linear, and Bayesian models for paired comparison from a cognitive psychology perspective. Within each class, we distinguish subclasses according to the computational complexity required for parameter setting. We identify the optimal model in each class, where optimality is defined with respect to performance when fitting known data. Although not optimal when fitting data, simple models can be astonishingly accurate when generalizing to new data. A simple heuristic belonging to the class (...)
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  3.  14
    Children’s Sequential Information Search is Sensitive to Environmental Probabilities.Jonathan D. Nelson, Bojana Divjak, Gudny Gudmundsdottir, Laura F. Martignon & Björn Meder - 2014 - Cognition 130 (1):74-80.
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  4.  4
    Simplifying Bayesian Inference: The General Case.Stefan Krauβ, Laura Martignon & Ulrich Hoffrage - 1999 - In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. pp. 165.
  5.  14
    How Do Common Investors Behave? Information Search and Portfolio Choice Among Bank Customers and University Students.Marco Monti, Riccardo Boero, Nathan Berg, Gerd Gigerenzer & Laura Martignon - 2012 - Mind and Society 11 (2):203-233.
    Bank customers are not financial experts, and yet they make high-stakes decisions that can substantively affect personal wealth. Sooner or later, every individual has to take relevant investment decisions. Using data collected from financial advisors, bank customers and university students in Italy, this paper aims to reveal new insights about the decision processes of average non-expert investors: their investment goals, the information sets they consider, and the factors that ultimately influence decisions about investment products. Using four portfolio choice tasks based (...)
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  6.  2
    Democratic Societies Defeat (COVID-19) Disasters by Boosting Shared Knowledge.Laura Martignon, Shabnam Mousavi & Joachim Engel - 2021 - Mind and Society 20 (1):143-147.
    Preparing people for dealing with hazards, diseases and disasters requires teaching them statistics, and ideally doing so by means of good representation formats in a dynamic fashion. Translating these dynamics to simple communication is what governments need from scientists.
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