Unbiased and efficient log-likelihood estimation with inverse binomial sampling

• Bas van Opheusden ,

  Contributed equally to this work with: Bas van Opheusden, Luigi Acerbi

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: svo@princeton.edu (BVO); luigi.acerbi@helsinki.fi (LA)

  Affiliations Center for Neural Science, New York University, New York, New York, United States of America, Department of Psychology, Princeton University, Princeton, New Jersey, United States of America

  https://orcid.org/0000-0002-7169-4885

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• Luigi Acerbi ,

  Contributed equally to this work with: Bas van Opheusden, Luigi Acerbi

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: svo@princeton.edu (BVO); luigi.acerbi@helsinki.fi (LA)

  Affiliations Center for Neural Science, New York University, New York, New York, United States of America, Department of Computer Science, University of Helsinki, Helsinki, Finland, Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland

  https://orcid.org/0000-0001-7471-7336

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• Wei Ji Ma

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  Affiliations Center for Neural Science, New York University, New York, New York, United States of America, Department of Psychology, New York University, New York, New York, United States of America

  https://orcid.org/0000-0002-9835-9083

  ⨯