1,721,025 research outputs found
A Novel Approach To Estimate Functional Gaussian Graphical Model Based On Penalized Multivariate FunctionalRegression Model
No full textIn this article we contribute to the literature on the functional Gaussian graphical model by introducing a new penalty function for the multivariate functional regression model that allows us to have a direct connection between the estimated parameters and conditional dependencies among the functional curves, i.e.the edge set of the graphical model. Introducing the model in infinite dimensional space, we show how to estimate the model in a finite-dimensional subspace. A focus is also given on how the bases and scores for the Karhunen-Loéve expansion of the curves are obtained. The performance of the proposed method is evaluated by a simulation study and compared with that of other better-known models in the literature, showing good performance
Unraveling the predictive power of telematics data in car insurance pricing
Full text linkA data set from a Belgian telematics product aimed at young drivers is used to identify how car insurance premiums can be designed based on the telematics data collected by a black box installed in the vehicle. In traditional pricing models for car insurance, the premium depends on self-reported rating variables (e.g. age, postal code) which capture characteristics of the policy(holder) and the insured vehicle and are often only indirectly related to the accident risk. Using telematics technology enables tailor-made car insurance pricing based on the driving
behavior of the policyholder. We develop a statistical modeling approach using generalized additive models and compositional predictors to quantify and interpret the effect of telematics variables on the expected claim frequency. We find that such variables increase the predictive power and render the use of gender as a rating variable redundant.sponsorship: The authors are grateful to the Associate Editor and their referees for their valuable comments and suggestions. Support is acknowledged from the agency for Innovation by Science and Technology (grant IWT 131173) and the Flemish Supercomputer Centre (Vlaams Supercomputer Centrum). Furthermore, Katrien Antonio acknowledges financial support from the Ageas Continental Europe Research Chair at KU Leuven and from KU Leuven's research council (project COMPACT C24/15/001). Gerda Claeskens acknowledges support through the Interuniversity Attraction Pole Research Network P6/03 of the Belgian State (Belgian research policy) and a KU Leuven grant (GOA/12/14). The authors also thank their contact person at the insurance company for the smooth co-operation. (agency for Innovation by Science and Technology|IWT 131173, Flemish Supercomputer Centre (Vlaams Supercomputer Centrum), Ageas Continental Europe Research Chair at KU Leuven, KU Leuven's research council|COMPACT C24/15/001, Interuniversity Attraction Pole Research Network of the Belgian State (Belgian research policy)|P6/03, KU Leuven|GOA/12/14)status: Publishe
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
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