1,721,041 research outputs found
Alfonso Gatto tra Persico e Pagano
No full textIn 1937, in defiance of the fascist regime, Giuseppe Pagano, editor of "Casabell", invited Alfonso Gatto to collaborate with the magazine. Gatto had spent six months in the San Vittore prison because of his anti-fascist activities. Pagano thus hoped to fill the void following Edoardo Persico's death (10 January 1936). Gatto was a friend of Persico, who had acted as his mentor, and accepted this challenge by contributing to the monthly column 'Cronaca dell'architettura' from March 1937 to November 1938. This essay highlights Gatto's pieces on Fascist architecture, which he considered to be the mirror of a moral and cultural involution of the hegemonic classes. As was generally the case with the magazine 'Casabella' in the interwar period, however, Gatto's polemical work lacked a reflection on the theme of the city and rather mainly focused on individual buildings. Only in 1964 Gatto wrote his most mature article: a reflection on the housing issue that can still be considered one of the best contributions on the topic to this date
Discussion of "Chain graph models and their causal interpretations" by Lauritzen, S.L. & Richardson, T.S
No full textDiscussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo
No full textWe contribute to the discussion of the paper by Ni et al. (Stat Methods Appl, 2021. https://doi.org/10.1007/s10260-021-00572-8) by focusing on two aspects: (i) ordering of the variables for directed acyclic graphical models, and (ii) heterogeneity of the data in the presence of covariates. With regard to (i) we claim that an ordering should be assumed only when strongly reliable prior information is available; otherwise one should proceed with an unspecified ordering to guard against order misspecification. Alternatively, one can carry out Bayesian inference on the space of Markov equivalence classes or use a blend of observational and interventional data to alleviate the lack of identification. With regard to (ii) we complement the Authors’ analysis by enlarging the scope to mixed graphs as well as nonparametric Bayesian models
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
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