1,720,991 research outputs found
Suboptimality of Probability Matching − a Formal Proof, a Graphical Analysis and an Impulse Balance Interpretation
No full textWe prove suboptimality of probability matching in prediction tasks with an arbitrary (finite) number of outcomes and repetitions. For the popular case of binary prediction tasks, we also provide a graphical representation of the result. Finally, we relate probability matching to impulse balance equilibrium theory and show when probability matching is consistent with its predictions
Caprine herpesvirus type 1 infection in goat: Not just a problem for females
No full textClinical, virological and serological analyses of a natural case of caprine herpesvirus 1 (CpHV-1) infection in a buck are reported. Three days after mating with a CpHV-1-infected female goat, the buck developed lesions referable to genital CpHV-1 infection. In particular, the animal suffered from typical painful ulcerative-crusted lesions associated with hyperemia, edema of the prepuce and healed completely within 15 days post-infection (p.i.). Infectious CpHV-1 was isolated from preputial swabs for 9 days p.i. while the virus was detected by real-time-PCR for 24 days p.i. Neutralizing antibodies were detected 7 days p.i. reaching maximal titers by day 14 p.i. The prolonged shedding of the virus from the preputial route may impact the genital transmission of CpHV-1 in goat flocks during mating
Financial Literacy and Bank Runs: An Experimental Analysis
Get PDFIn this experimental study on the determinants of bank run, participants anonymously interact via an experimental bank deciding whether to withdraw or not their deposit. As in Diamond and Dybvig (1983), runs result from a fundamental coordination problem. We elicit subjects’ financial literacy and study whether revealing this information helps in solving the equilibrium coordination in such games with multiple equilibria. As a control we also use information about elicited general knowledge. Within the same framework, we let the bank size vary to investigate how it affects coordination on bank run. We find that, when no information is revealed, the likelihood of runs increases with bank size. Whereas, when information on financial literacy is revealed, the likelihood of runs increases in small and decreases in large banks. Our analyses also show that subjects react to information on financial literacy and general knowledge in a different way. Getting to know that a group has higher financial literacy reduces the probability of run. While, when information about general knowledge is revealed, risk aversion at group level becomes relevant and positively affects the probability of bank run. In all specifications, bank run occurrence is positively affected by short-run withdrawal history and by subjects’ experience
Born to Run: Adaptive and Strategic Behavior in Experimental Bank-Run Games
No full textWe run a laboratory experiment to investigate how the size of the group affects coordination in a bank-run game played repeatedly by participants facing different fellow depositors. For comparability purposes, we keep the coordination tightness constant across different sizes. Participants exhibit an adaptive behavior, since the main drivers of their decisions to withdraw are: previous-round outcomes and own initial choice. Moreover, they mainly adopt the best response to previous-round feedback. However, a sizeable share of participants adopts the opposite mode of behavior, that we refer to as experimentation. The analysis of the determinants of experimentation suggest that subjects adopt this behavior when the probability to lead the group toward the efficient outcome is higher. Finally, our analysis shows that the size of the bank has a significant effect on participants’ decisions, since they withdraw more and experiment less in large banks
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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