Now showing items 3683-3702 of 7550

    • Gouet Bañares, Raúl; López, F. Javier; Sanz, Gerardo (ELSEVIER, 2008-10-01)
      We obtain strong laws of large numbers for the number of weak records among the first n observations from a sequence of nonnegative integer-valued independent identically distributed random variables.
    • Hartig, Olaf; Pérez Rojas, Jorge (Elsevier Science BV, 2016-12)
      The Web of Linked Data is composed of tons of RDF documents interlinked to each other forming a huge repository of distributed semantic data. Effectively querying this distributed data source is an important open problem ...
    • Recio Sánchez, Gonzalo; Lagos Castilla, Claudia; Benito Gómez, Noelia; García, Alba; Marcos, Ricard; Carmona, Erico R. (2016)
      Green synthesis of nanoparticles (NPs) from plant extracts have emerged as a promising methodology for the fabrication of metallic NPs, as it involves an easy, fast, low-cost, and environmentally friendly bioprocess. In ...
    • Kremer, Klaus; Promis Baeza, Álvaro; Mancilla, Gabriel; Magni Díaz, Carlos (Blackwell Publishing, 2019)
      Although regeneration of recalcitrant-seeded tree species can be affected by prolonged drought, especially in Mediterranean regions, little is known about the response of such species to varying site conditions. A field ...
    • Bernales Silva, Alejandro; Chen, Louisa; Valenzuela Bravo, Marcela (Elsevier, 2017)
      We use learning in an equilibrium model to explain the puzzling predictive power of the volatility risk premium ( V RP) for option returns. In the model, a representative agent fol- lows a rational Bayesian learning process ...
    • Bernales, Alejandro; Cortázar, Gonzalo; Salamunic, Luka; Skiadopoulos, George (Amer Statistical Assoc, 2020)
      Little is known about the economic sources that may generate the abnormal returns observed in put index options. We show that the learning process followed by investors may be one such source. We develop an equilibrium ...
    • Modaresi, Sajad; Sauré Valenzuela, Denis; Vielma, Juan Pablo (INFORMS, 2020)
      We study dynamic decision making under uncertainty when, at each period, a decision maker implements a solution to a combinatorial optimization problem. The objective coefficient vectors of said problem, which are unobserved ...
    • Ruiz del Solar, Javier; Palma Amestoy, Rodrigo; Marchant, Román; Parra Tsunekawa, Sebastián Isao; Zegers, Pablo (Elsevier, 2009)
      A methodology for the analysis and design of fall sequences of robots that minimize joint/articulation injuries, and the damage of valuable body parts is proposed. These fall sequences can be activated/triggered by the ...
    • Herrera, Jose; Poblete Labra, Bárbara; Parra, Denis (Springer Verlag, 2018)
      Community Question Answering (cQA) sites have emerged as platforms designed specifically for the exchange of questions and answers among users. Although users tend to find good quality answers in cQA sites, they also engage ...
    • Bernales Silva, Alejandro; Guidolin, Massimo (Elsevier, 2015)
      We develop a general equilibrium asset pricing model under incomplete information and rational learning in order to understand the unexplained predictability of option prices. In our model, the fundamental dividend growth ...
    • Ihle Bascuñán, Christian (Elsevier, 2016)
      The efficient combined use of water and energy in long distance slurry pipelines is analyzed in light of the total cost function resulting from an energy and mass balance. Given a system throughput and a set of common ...
    • Adiego, Joaquín; Navarro, Gonzalo; Fuente, Pablo de la (2007)
      The authors describe Lempel-Ziv to Compress Structure (LZCS), a novel Lempel-Ziv approach suitable for compressing structured documents. LZCS takes advantage of repeated substructures that may appear in the documents, by ...
    • Arroyuelo, Diego; Navarro, Gonzalo (2007)
      Full-text searching consists in locating the occurrences of a given pattern P[1::m] in a text T[1::u], both sequences over an alpha- bet of size ¾. In this paper we de¯ne a new index for full-text searching on secondary ...
    • Ferrada, Héctor; Navarro, Gonzalo (Elsevier Inc., 2019)
      Document retrieval structures index a collection of string documents, to retrieve those that are relevant to query strings p: document listing retrieves all documents where p appears; top-k retrieval retrieves the k most ...
    • Kosolobov, Dmitry; Valenzuela, Daniel; Navarro, Gonzalo; Puglisi, Simon J. (Springer, 2020)
      Lempel-Ziv (LZ77 or, briefly, LZ) is one of the most effective and widely-used compressors for repetitive texts. However, the existing efficient methods computing the exact LZ parsing have to use linear or close to linear ...
    • Rivara Zúñiga, María Cecilia; Calderón, Carlo (ELSEVIER, 2010)
      We discuss Lepp-centroid versus Lepp-midpoint algorithms for Delaunay quality triangulation. We present geometrical results that ensure that the centroid version produces triangulations with both average smallest angles ...
    • Rivara Zúñiga, María Cecilia; Calderón, Carlo (2010)
      We introduce a new Lepp-Delaunay algorithm for quality triangulation. For every bad triangle t with smallest angle less than a threshold angle θ, a Lepp-search is used to find an associated convex terminal quadrilateral ...
    • Sepulveda-Diaz C., Rojas E.S., Simmonds J., Gutierrez F.J., Hitschfeld N., Casanova C., Sotomayor C. (2020)
    • Maire, Anne-Lise; Langlois, Maud; Delorme, Philippe; Chauvin, Gael; Gratton, Raffaele; Vigan, Arthur; Girard, Julien H.; Wahhaj, Zahed; Pott, Jorg-Uwe; Burtscher, Leonard; Boccaletti, Anthony; Carlotti, Alexis; Henning, Thomas; Kenworthy, Matthew A.; Kervella, Pierre; Rickman, Emily L.; Schmidt, Tobias O. B. (Spie-Soc Photo-Optical Instrumentation Engineers, 2021)
      Measuring the orbits of directly imaged exoplanets requires precise astrometry at the milliarcsec level over long periods of time due to their wide separation to the stars (greater than or similar to 10 au) and long orbital ...
    • Martínez-Pérez, Rafael; Joswig, Holger; Mura, Jorge (Elsevier Inc., 2019)