186,420 research outputs found

    Convergence of the stochastic mesh estimator for pricing American options

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    Broadie and Glasserman proposed a simulation-based method they named {\em stochastic mesh} for pricing high-dimensional American options. Based on simulated states of the assets underlying the option at each exercise opportunity, the method produces an estimator of the option value at each sampled state. Under the mild assumption of the finiteness of certain moments, we derive an asymptotic upper bound on the probability of error of the mesh estimator, where both the error size and the probability bound vanish as the sample size increases. We include the empirical performance for the test problems used by Broadie and Glasserman in a recent unpublished manuscript. We find that the mesh estimator has large bias that decays very slowly with the sample size, suggesting that in applications it will most likely be necessary to employ bias and/or variance reduction techniques

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Pause Length and Differences In Cognitive State Attribution in Native and Non-Native Speakers of Chinese

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    In a previous study (Matzinger et al. 2023), we tested how listeners evaluated speakers' knowledge, confidence and willingness to grant requests, after listening to short conversations. Specifically, we tested if those judgements were influenced by a) the duration of the pause made before answering a question or a request, and b) by the speakers' accent. In the present study, we replicate our previous study with speakers and listeners of different languages to address whether the observed effects are language-specific or cross-linguistic. Abstract of the original study (Matzinger et al. 2023): Speech pauses between turns of conversations are crucial for assessing conversation partners’ cognitive states, such as their knowledge, confidence and willingness to grant requests; in general, speakers making longer pauses are regarded as less apt and willing. However, it is unclear if the interpretation of pause length is mediated by the accent of interactants, in particular native versus non-native accents. We hypothesized that native listeners are more tolerant towards long pauses made by non-native speakers than those made by native speakers. This is because, in non-native speakers, long pauses might be the result of prolonged cognitive processing when planning an answer in a non-native language rather than of a lack of knowledge, confidence or willingness. Our experiment, in which 100 native Polish-speaking raters rated native speakers of Polish and native Chinese non-native speakers of Polish on their knowledge, confidence and willingness, showed that this hypothesis was confirmed for perceived willingness only; non-native speakers were regarded as equally willing to grant requests, irrespective of their inter-turn pause durations, whereas native speakers making long pauses were regarded as less willing than those making short pauses. For knowledge and confidence, we did not find a mediating effect of accent; both native and non-native speakers were rated as less knowledgeable and confident when making long pauses. One possible reason for the difference between our findings on perceived willingness to grant requests versus perceived knowledge and confidence is that requests might be more socially engaging and more directly relevant for interpersonal cooperative interactions than knowledge that reflects on partners’ competence but not cooperativeness. Overall, our study shows that (non-)native accents can influence which cognitive states are signaled by different pause durations, which may have important implications for intercultural communication settings where topics are negotiated between native and non-native speakers. Changes in the current study: In this study, we replicate Matzinger et al. 2023 with the languages switched: we will test native Mandarin Chinese listeners on their perception of knowledge, confidence and willingness in a) native speakers of Mandarin Chinese and b) native Polish speaking non-native speakers of Mandarin Chinese. All other methododological details will be identical to the methods described in Matzinger et al. (2023). Hypotheses of the current study in a nutshell: Results of Matzinger et al. (2023) will be replicated. Specifically, this is: 1. Native speakers will be perceived as being more knowledgeable and confident than non-native speakers. 2. Speakers making short pauses will be perceived as being more knowledgeable and confident than speakers making long pauses. 3. The effect of nativeness on perceived knowledge and confidence will be bigger than the effect of pause duration. 4. For willingness, there will be an interaction effect of accent and pause length: native speakers making short pauses will be perceived as more willing than native speakers making long pauses. In contrast, non-native speakers will be perceived as equally willing to grant requests, irrespective of their pause lengths. References: Matzinger, T.; Pleyer, M.; Żywiczyński, P. Pause Length and Differences in Cognitive State Attribution in Native and Non-Native Speakers. Languages 2023, 8, 26. https://doi.org/10.3390/languages801002

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We 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

    Withdrawn by Author

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    <p>Withdrawn by Author </p&gt

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Dr. Edward P. Wimberly, ITC, July 2011

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    This video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer

    Author Rights and Scholarly Publishing

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    Originally posted at http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
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