Resultats globals: 16 registres trobats en 0.02 segons.
Articles, 8 registres trobats
Contribucions a jornades i congressos, 1 registres trobats
Documents de recerca, 7 registres trobats
Articles 8 registres trobats  
1.
18 p, 1.6 MB Assessing the reliability of predicted plant trait distributions at the global scale / Boonman, Coline C. F. (Radboud University. Department of Environmental Science) ; Benítez López, Ana (Radboud University. Department of Environmental Science) ; Schipper, Aafke M. (Radboud University. Department of Environmental Science) ; Thuiller, Wilfried (Université Grenoble Alpes) ; Anand, Madhur (University of Guelph. School of Environmental Sciences) ; Cerabolini, Bruno E. L. (Università degli Studi dell'Insubria. Dipartimento di Scienze Teoriche e Applicate) ; Cornelissen, Johannes H. C. (Vrije Universiteit Amsterdam. Department of Ecological Science) ; González Melo, Andrés (Universidad del Rosario (Bogotà, Colòmbia). Facultad de Ciencias Naturales y Matematicas) ; Hattingh, Wesley N. (University of the Witwatersrand) ; Higuchi, Pedro (Santa Catarina State University) ; Laughlin, Daniel C. (University of Wyoming. Department of Botany) ; Onipchenko, Vladimir (Moskovskiĭ gosudarstvennyĭ universitet im. M.V. Lomonosova) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Poorter, Lourens (Wageningen University. Forest Ecology and Forest Management Group) ; Soudzilovskaia, Nadejda A. (Leiden University. Environmental Biology Department) ; Huijbregts, Mark A.J. (Institute for Water and Wetland Research) ; Santini, Luca (Institute for Water and Wetland Research)
Predictions of plant traits over space and time are increasingly used to improve our understanding of plant community responses to global environmental change. A necessary step forward is to assess the reliability of global trait predictions. [...]
2020 - 10.1111/geb.13086
Global ecology and biogeography, Vol. 29, Issue 6 (June 2020) , p. 1034-1051  
2.
18 p, 437.6 KB A probabilistic model for explaining the points achieved by a team in football competition : forecasting and regression with applications to the Spanish competition / Gómez-Déniz, Emilio (Universidad de Las Palmas de Gran Canaria) ; Dávila Cárdenes, Nancy (Universidad de Las Palmas de Gran Canaria) ; Pérez Sánchez, José María (Universidad de Las Palmas de Gran Canaria)
In the last decades, a lot of research papers applying statistical methods for analysing sports data have been published. Football, also called soccer, is one of the most popular sports all over the world organised in national championships in a round robin format in which the team reaching the most points at the end of the tournament wins the competition. [...]
2019 - 10.2436/20.8080.02.81
SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 95-112 (Articles)  
3.
30 p, 730.1 KB A toolkit to strengthen government budget surveillance / Pedregal, Diego J. (Universidad de Castilla-La Mancha) ; Pérez, Javier J. (Banco de España) ; Sánchez-Fuentes, Antonio Jesús (Universidad Complutense de Madrid)
In this paper we develop a comprehensive short-term fiscal forecasting system, useful for real-time monitoring of government's borrowing requirement in Spain, a country that has been at the center of the recent European sovereign debt crisis, not least because of sizeable failures to meet public deficit targets. [...]
2014 - 10.7866/HPE-RPE.14.4.4
Hacienda pública española, Núm. 211 (2014) , p. 117-146  
4.
26 p, 426.3 KB Empirical analysis of daily cash flow time-series and its implications for forecasting / Salas-Molina, Francisco (Universitat de València) ; Rodríguez Aguilar, Juan Antonio (Institut d'Investigació en Intel·ligència Artificial (IIIA-CSIC)) ; Serra-Sagristà, Joan (Telefónica Research (Barcelona, Catalunya)) ; Guillén, Montserrat (Universitat de Barcelona. Departament d'Econometria) ; Martin, Francisco J. (BigML, Inc. (Corvallis, Estats Units d'Amèrica))
Usual assumptions on the statistical properties of daily net cash flows include normality, absence of correlation and stationarity. We provide a comprehensive study based on a real-world cash flow data set showing that: (i) the usual assumption of normality, absence of correlation and stationarity hardly appear; (ii) non-linearity is often relevant for forecasting; and (iii) typical data transformations have little impact on linearity and normality. [...]
2018 - 10.2436/20.8080.02.70
SORT : statistics and operations research transactions, Vol. 42 Núm. 1 (January-June 2018) , p. 73-98 (Articles)  
5.
13 p, 871.5 KB A Genetic Predictive Model for Canine Hip Dysplasia : Integration of Genome Wide Association Study (GWAS) and Candidate Gene Approaches / Bartolomé, Nerea (Progenika Biopharma) ; Segarra López, Sergi (R&D Bioiberica S.A.) ; Artieda, Marta (Progenika Biopharma) ; Francino Martí, Olga (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Sánchez i Robert, Elisenda (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Szczypiorska, Magdalena (Progenika Biopharma) ; Casellas Vidal, Joaquim (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Tejedor, Diego (Progenika Biopharma) ; Cerdeira, Joaquín (Centro Veterinario Aluche Las Águilas (Madrid)) ; Martínez, Antonio (Progenika Biopharma) ; Velasco, Alfonso (R&D Bioiberica S.A.) ; Sánchez Bonastre, Armando (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
Canine hip dysplasia is one of the most prevalent developmental orthopedic diseases in dogs worldwide. Unfortunately, the success of eradication programs against this disease based on radiographic diagnosis is low. [...]
2015 - 10.1371/journal.pone.0122558
PloS one, Vol. 10, Num. 4 (April 2015) , p. 1-13  
6.
36 p, 586.0 KB Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data / Pashkevich, Maxim ; Kharin, Yurij S. ; Belarusian State University
The paper focuses on robust estimation and forecasting techniques for grouped binary data with misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model (the beta-binomial or the beta-logistic), while the misclassifications are caused by the stochastic additive distortions of binary observations. [...]
2004
SORT : statistics and operations research transactions, Vol. 28, Núm. 2 (July-December 2004) , p. 125-160  
7.
23 p, 372.7 KB La predicción de la demanda en evaluación de proyectos / González Savignat, Mar (Universidad de Vigo) ; Matas i Prat, Anna (Universitat Autònoma de Barcelona. Departament d'Economia Aplicada) ; Raymond Bara, José Luis (Universitat Autònoma de Barcelona. Departament d'Economia i d'Història Econòmica)
La predicción de la demanda juega un papel clave en la evaluación de proyectos. Sin embargo, la evidencia reciente indica que la predicción a largo plazo está sujeta a fuertes incertidumbres. Este artículo discute algunos aspectos relevantes relacionados con la predicción de la demanda a largo plazo y, en especial, la incertidumbre. [...]
Demand forecasting is a key factor in project evaluation. However, according to recent empirical evidence, long-term predictions are subject to high levels of uncertainty. This paper discusses some relevant topics related to long run demand forecasting with special emphasis on uncertainty. [...]

2010
Cuadernos económicos de ICE, Núm. 80 (2010) , p. 187-211  
8.
8 p, 373.4 KB A forecasting methodology for academic manpower requirements in a small sized technical university / Aldosary, Adel S.
The operation of any organization depends on the supply of its manpower, and forecasting manpower needs is an essential part of the future strategic planning. Higher education in no exception, and academic manpower requirements constitute a crucial sector of the human resources development in the country. [...]
1999
Higher Education Policy, vol. 12 n. 1 (1999) p. 93-100  
 Accés restringit a la UAB

Contribucions a jornades i congressos 1 registres trobats  
1.
3 p, 824.1 KB Topic recipe-based social simulation for research dynamics analysis / Lee, Keeheon (Yonsei University) ; Kim, Chang Ouk (Yonsei University)
In this paper, we introduce an agent-based modeling and simulation model for research dynamics analysis. Since researchers constitute research systems in research dynamics, modelling the behavior of a researcher is a key to this method. [...]
2014
Social Simulation Conference. Bellaterra, Cerdanyola del Vallès, 1a : 2014  

Documents de recerca 7 registres trobats  
1.
32 p, 1.9 MB Opciones de tenencia tras un cambio de vivienda : aproximación a la dinámica futura del sistema residencial español / Módenes Cabrerizo, Juan Antonio
En momentos de grandes cambios de tendencia, es difícil prever el futuro de las opciones residenciales de la población. En el artículo se propone un método empírico que utiliza las opciones residenciales de los hogares que han efectuado recientemente un cambio de residencia, para evaluar la estructura de tenencia en un futuro próximo. [...]
En moments de grans canvis de tendència, és difícil preveure el futur de les opcions residencials de la població. L'article proposa un mètode empíric que utilitza les opcions residencials de les llars que han realitzat recentment un canvi de residència, per avaluar l'estructura de tinença en un futur pròxim. [...]
Anticipating the future of population's housing choices is difficult when structural trends are evolving fast. This paper proposes an empirical method that uses housing options of those who have recently moved in order to assess how the total housing tenure distribution would be in the near future. [...]

Bellaterra : Centre d'Estudis Demogràfics, 2010 (Papers de demografia (Centre d'Estudis Demogràfics) ; 378)  
2.
79 p, 333.9 KB Half a century of population forecasting in the Netherlands / Gjaltema,Taeke Anton
Bellaterra Centre d'Estudis Demogràfics 2003 (Papers de demografia (Centre d'Estudis Demogràfics) ; 236)  
3.
33 p, 629.2 KB Detecting Outliers with Semi-Supervised Machine Learning : a Fraud Prediction Application / Palacio, Sebastian M. (Universitat de Barcelona. Departament d'Econometria, Estadística i Economia Aplicada) ; Xarxa de Referència en Economia Aplicada (XREAP)
Abnormal pattern prediction has received a great deal of attention from both academia and industry, with applications that range from fraud, terrorism and intrusion detection to sensor events, medical diagnoses, weather patterns, etc. [...]
Xarxa de Referència en Economia Aplicada (XREAP) 2018 (XREAP ; 2018/02)  
4.
33 p, 852.4 KB Machine Learning Forecasts of Public Transport Demand : a comparative analysis of supervised algorithms using smart card data / Palacio, Sebastian M. (Universitat de Barcelona. Departament d'Econometria, Estadística i Economia Aplicada) ; Xarxa de Referència en Economia Aplicada (XREAP)
Public transport smart cards are widely used around the world. However, while they provide information about various aspects of passenger behavior, they have not been properly exploited to predict demand. [...]
Xarxa de Referència en Economia Aplicada (XREAP) 2018 (XREAP ; 2018/03)  
5.
11 p, 1.5 MB Predicció del preu de criptomonedes utilitzant tècniques de Deep Learning / Cervantes Álvarez, Abel ; Sánchez Albaladejo, Gema, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
L'objectiu d'aquest projecte consisteix en aplicar de manera comparativa tres models diferents de Deep Learning que serveixin per a predir quin serà el preu d'una criptomoneda en el minut següent i el desenvolupament d'una aplicació que posi els models en producció per ajudar en la presa de decisions a l'hora de fer inversions a curt termini. [...]
El objetivo de este proyecto consiste en aplicar de manera comparativa tres modelos diferentes de Deep Learning que sirvan para predecir qual será el precio de una criptomoneda en el siguiente minuto y el desarrollo de una aplicación que ponga los modelos en producción para ayudar en la toma de decisiones a corto plazo. [...]
The aim of this project consists of a comparative application of three different Deep Learning models which are capable to predict the price of a cryptocurrency in the next minute and the development of an application which puts the models in production and helps with short term invest decision making. [...]

2018-07-01
Enginyeria Informàtica [958]  
6.
140 p, 2.8 MB Volatility forecasting with latent information and exogenous variables / Kesamoon, Chainarong ; Castillo, Joan del, dir. (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Universitat Autònoma de Barcelona. Departament de Matemàtiques
En aquesta tesi s'han presentat idees per a la previsió de la volatilitat que cobreixen la teoria bàsica, estudis de simulació i implementacions pràctiques dels nous models que s'han proposat. Hem analitzat les dades amb eines alternatives que poden fer-nos adonar de factors diferents als que s'han observat amb altres mètodes més comuns. [...]
This thesis has presented the insight into volatility forecasting covering from basic theory, simulation studies, practical implementations, to the new proposed models. We have analyzed the data with alternative tools that can make us aware of different factors that have been observed with other common methods. [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2015  
7.
35 p, 646.9 KB Prediction of the economic cost of individual long-term care in the Spanish population / Bolancé, Catalina (Universitat de Barcelona. Departament d'Econometria) ; Alemany Leira, Ramon (Universitat de Barcelona. Departament d'Econometria) ; Guillén, Montserrat (Universitat de Barcelona. Departament d'Econometria) ; Xarxa de Referència en Economia Aplicada (XREAP)
Pensions together with savings and investments during active life are key elements of retirement planning. Motivation for personal choices about the standard of living, bequest and the replacement ratio of pension with respect to last salary income must be considered. [...]
Xarxa de Referència en Economia Aplicada (XREAP) 2010 (XREAP ; 2010-8)  

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