1,721,248 research outputs found
Notes sur le genre Tilius Chaudoir [Col. Carabidae]
No full textMateu J. Notes sur le genre Tilius Chaudoir [Col. Carabidae]. In: Bulletin de la Société entomologique de France, volume 62 (7-8), Septembre-octobre 1957. pp. 208-214
Note sur les Carabiques malgaches (3e note). Le genre Hexagonia Kirby [Col.]
No full textMateu J. Note sur les Carabiques malgaches (3e note). Le genre Hexagonia Kirby [Col.]. In: Bulletin de la Société entomologique de France, volume 63 (5-6), Mai-juin 1958. pp. 136-140
Un vase néolithique d'Anou Oua Lelioua (Erg d'Admer)
No full textMateu J. Un vase néolithique d'Anou Oua Lelioua (Erg d'Admer). In: Bulletin de la Société préhistorique française. Comptes rendus des séances mensuelles, tome 63, n°2, 1966. pp. 60-64
Cano Mateu, J. Àngel (2022): Joan Fuster i Serra d’Or Els articles seriats (1968-1984). València: Publicacions de la Universitat de València
Get PDFRessenya de Cano Mateu, J. Àngel (2022): Joan Fuster i Serra d’Or. Els articles seriats (1968-1984). València: Publicacions de la Universitat de València. 328 p. ISBN: 978-54-9134-974-7.Review to Cano Mateu, J. Àngel (2022): Joan Fuster i Serra d’Or. Els articles seriats (1968-1984). València: Publicacions de la Universitat de València. 328 p. ISBN: 978-54-9134-974-7
Spatio-temporal log-Gaussian Cox processes on earthquake events
Get PDFThis work presents an application of spatio-temporal log-Gaussian Cox processes for the
description of earthquake events. To explain the overall spatial trend, spatial geological information
in the study area such as faults and volcanoes are introduced in the model. Moreover, an anisotropic
specification of the covariance matrix of the Gaussian process is used to improve the explanation of the
phenomenon. We apply and compare different models to explain the seismic events occurred in Alaska
over the last decades
Some extensions in space-time LGCP: application to earthquake data
Get PDFIn this paper we aim at studying some extensions of complex space-time models, useful for the description
of earthquake data. In particular we want to focus on the Log-Gaussian Cox Process (LGCP, [1]) model estimation
approach, with some results on global informal diagnostics. Indeed, in our opinion the use of Cox processes that
are natural models for point process phenomena that are environmentally driven could be a new approach for the
description of seismic events. These models can be useful in estimating the intensity surface of a spatio-temporal point
process, in constructing spatially continuous maps of earthquake risk from spatially discrete data, and in real-time
seismic activity surveillance. Moreover, covariate information varying in space-time can be considered into the LGCP
model, providing complex models useful for a proper description of seismic events. LGCP is a Cox process with
Λ = expS(x), where S is a Gaussian process. This construction has some advantages, related to the multivariate
Normal distribution features, since the moment properties Λ(x) are inherited by the Cox process. In particular, both
estimation and diagnostics, can deal with some higherorder properties [2], expressed for instance by the intensity and
the pair correlation function of the LGCP
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
Outlier detection for geostatistical functional data: an application to sensor data
No full textIn this paper we propose an outlier detection method for geostatistical
functional data. Our approach generalizes the proposal of Febrero et al. (2007, 2008)
in the spatial framework. It is based on the concept of the kernelized functional
modal depth that we have opportunely defined extending the functional modal depth.
As an illustration, the methodology is applied to sensor data corresponding to long-
term daily climatic time series from meteorological stations
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