Correction: Approach-Induced Biases in Human Information Sampling
نویسندگان
چکیده
منابع مشابه
Correction: Approach-Induced Biases in Human Information Sampling
[This corrects the article DOI: 10.1371/journal.pbio.2000638.].
متن کاملApproach-Induced Biases in Human Information Sampling
Information sampling is often biased towards seeking evidence that confirms one's prior beliefs. Despite such biases being a pervasive feature of human behavior, their underlying causes remain unclear. Many accounts of these biases appeal to limitations of human hypothesis testing and cognition, de facto evoking notions of bounded rationality, but neglect more basic aspects of behavioral contro...
متن کاملCorrection: Biomass and Abundance Biases in European Standard Gillnet Sampling
The following information is missing from the Funding section: This study received institutional support from the Czech Academy of Sciences (RVO:60077344, http://www.avcr.cz/) and the CEKOPOT project (CZ.1.07/2.3.00/20.0204), co-financed by the European Social Fund and the state budget of the Czech Republic. Additionally, this study was supported by the Grant Agency of the Czech Republic (Proje...
متن کاملAnalytical estimates of limited sampling biases in different information measures.
Measuring the information carried by neuronal activity is made difficult, particularly when recording from mammalian cells, by the limited amount of data usually available, which results in a systematic error. While empirical ad hoc procedures have been used to correct for such error, we have recently proposed a direct procedure consisting of the analytical calculation of the average error, its...
متن کاملAutomatic Biases Correction
The key point limits to define the statistical model describing the data distribution. Hence, it turns out that the characteristics related to the so-called Inverse Tully-Fisher relation and the Direct relation are maximum likelyhood (ml) estimators of different statistical models, and we obtain coherent distance estimates as long as the same model is used for the calibration of the TF relation...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS Biology
سال: 2017
ISSN: 1545-7885
DOI: 10.1371/journal.pbio.1002618