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Institution

University of Los Andes

EducationBogotá, Colombia
About: University of Los Andes is a education organization based out in Bogotá, Colombia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 17616 authors who have published 25555 publications receiving 413463 citations.


Papers
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Journal ArticleDOI
TL;DR: A Fortran 90 library for multitaper spectrum estimation, a state-of-the-art method that has been shown to outperform the standard methods.

234 citations

Journal ArticleDOI
TL;DR: A backward elimination approach based on successive holdout steps, whose contribution measure is based on a balanced loss function obtained on an independent subset, to address high dimensionality as well as class-imbalance issues.

233 citations

Journal ArticleDOI
TL;DR: The PRISMA 2020 statement as discussed by the authors replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies, and an expanded 27-item checklist, an expanded checklist that details reporting recommendations for each item, and the revised flow diagrams for original and updated reviews.
Abstract: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews. Full English text available from:www.revespcardiol.org/en.

233 citations

Posted Content
TL;DR: In this article, the authors identify the determinants of displacement behavior and compare these findings with standard migration literature and estimate the burden or welfare losses of displacement, showing that the welfare loss of displacement is considerable and amount to 37 percent of the net present value of rural lifetime aggregate consumption for the average household.
Abstract: During the last decade, forced internal displacement in Colombia has been a growing phenomenon closely linked to the escalation of the internal armed conflict, particularly in rural areas. The displacement problem has affected nearly every region and vulnerable groups of the population. Two emerging policy questions are whether the magnitude of the response to this problem has been proportional to its size and to what extent the instruments chosen are the most adequate to address it. The purpose of this paper is twofold. First, to identify the determinants of displacement behavior and to compare these findings with standard migration literature. Second, to estimate the burden or welfare losses of displacement. Empirical evidence shows that the welfare loss of displacement is considerable and amount to 37 percent of the net present value of rural lifetime aggregate consumption for the average household. This loss is estimated for each household with a method that derives welfare changes from behavioral model estimates, widely used in environmental economics. Our empirical findings also show that the level of violence at the origin site is not only the dominant factor of displacement behavior, but also that in a violent environment other migration determinants have the opposite effect, relative to the one expected by the migration literature in a non-violent context. That is, the violent environment modifies the migration incentives for risk aversion, access to information, the planning horizon, and location-specific assets, human and non-human.

232 citations

Journal ArticleDOI
TL;DR: In this paper, a variety of different methods have been devised to classify the cosmic web, depending on the data at hand, be it numerical simulations, large sky surveys or other.
Abstract: The cosmic web is one of the most striking features of the distribution of galaxies and dark matter on the largest scales in the Universe. It is composed of dense regions packed full of galaxies, long filamentary bridges, flattened sheets and vast low-density voids. The study of the cosmic web has focused primarily on the identification of such features, and on understanding the environmental effects on galaxy formation and halo assembly. As such, a variety of different methods have been devised to classify the cosmic web – depending on the data at hand, be it numerical simulations, large sky surveys or other. In this paper, we bring 12 of these methods together and apply them to the same data set in order to understand how they compare. In general, these cosmic-web classifiers have been designed with different cosmological goals in mind, and to study different questions. Therefore, one would not a priori expect agreement between different techniques; however, many of these methods do converge on the identification of specific features. In this paper, we study the agreements and disparities of the different methods. For example, each method finds that knots inhabit higher density regions than filaments, etc. and that voids have the lowest densities. For a given web environment, we find a substantial overlap in the density range assigned by each web classification scheme. We also compare classifications on a halo-by-halo basis; for example, we find that 9 of 12 methods classify around a third of group-mass haloes (i.e. Mhalo ∼ 1013.5 h−1 M⊙) as being in filaments. Lastly, so that any future cosmic-web classification scheme can be compared to the 12 methods used here, we have made all the data used in this paper public.

232 citations


Authors

Showing all 17748 results

NameH-indexPapersCitations
Alexander Belyaev1421895100796
Sarah Catherine Eno1411645105935
Mitchell Wayne1391810108776
Kaushik De1391625102058
Pierluigi Paolucci1381965105050
Randy Ruchti1371832107846
Gabor Istvan Veres135134996104
Raymond Brock135146897859
Harrison Prosper1341587100607
J. Ellison133139292416
Gyorgy Vesztergombi133144494821
Andrew Brandt132124694676
Scott Snyder131131793376
Shuai Liu129109580823
C. A. Carrillo Montoya128103378628
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022205
20211,504
20201,645
20191,563
20181,599