Search results for " Models"
showing 10 items of 4240 documents
Longitudinal analysis of Spanish doctoral theses in education (1841-2012)
2014
This article analyzes the research output of doctoral theses in the field of Education defended in Spain from 1841-2012. It offers a quantified global and diachronic view of such series. As a landmark to note is the fact that until 1954, obtaining a doctoral degree was centralized at the Complutense University of Madrid. They are used as search engines bibliographic databases: TESEO and institutional repositories, and basic bibliography of the area to carry out the collection of the sample. The contrasting hypothesis is to verify whether the time series partially follows the pattern of growth of the science of Derek J. de Solla Price. The central finding is that the Spanish production of do…
Interactions, spillovers de connaissance et croissance des économies modernes. Faut-il préférer la globalisation ou la proximité géographique ?
2009
Globalisation and metropolisation in modern economies induce some locational strategies of knowledge based activities towards cities and deeply increase trade and move of ideas across cities. In that context, we study the way knowledge spillovers have influenced the economic growth of 82 European Metropolises over the 1990-2005 period. We model knowledge spillovers across cities according to three specific interaction patterns depending either on geography or on global advanced services or thought a combination of these patterns. We show that the mixed pattern matters the best for economic growth of cities in Europe.
Recursion at the crossroads of sequence modeling, random trees, stochastic algorithms and martingales
2013
This monograph synthesizes several studies spanning from dynamical systems in the statistical analysis of sequences, to analysis of algorithms in random trees and discrete stochastic processes. These works find applications in various fields ranging from biological sequences to linear regression models, branching processes, through functional statistics and estimates of risk indicators for insurances. All the established results use, in one way or another, the recursive property of the structure under study, by highlighting invariants such as martingales, which are at the heart of this monograph, as tools as well as objects of study.
Bacheliers, étudiants et jeunes diplômés : quels systèmes migratoires régionaux ?
2006
Since French Society enters the so-called “Economy of knowledge”, migrations of young people, especially these concerning higher education graduates, are of most interests. Despite the fact that it could help to understand relations between University and work market and ways regions can evolve, the study of migrations of young people was not yet done. A set of results highlights first the main role of French capital region. It shows also main similarities and differencies of migratories' behavior.
Case-specific performance of MM-PBSA, MM-GBSA, and SIE in virtual screening.
2015
In drug discovery the reliable prediction of binding free energies is of crucial importance. Methods that combine molecular mechanics force fields with continuum solvent models have become popular because of their high accuracy and relatively good computational efficiency. In this research we studied the performance of molecular mechanics generalized Born surface area (MM-GBSA), molecular mechanics Poisson-Boltzmann surface area (MM-PBSA), and solvated interaction energy (SIE) both in their virtual screening efficiency and their ability to predict experimentally determined binding affinities for five different protein targets. The protein-ligand complexes were derived with two different app…
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning
2015
Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. Emulators are advantageous in real practice because…
The competency-based approach in developing countries
2013
For decades, all analyzes converge on the idea of the relative inefficiency of education systems in sub-Saharan Africa. Dropout, repetition, overstaffing, low quality of learning student failure and obsolescence of facilities, teaching materials and teachers, including sometimes the levels and quality of education remain somewhat uncertain, inadequate educational programs. In short, these are some of the ills that plague these systems and confirm the findings made by many reports.Given this weakness finding, educational authorities, supported by international aid mobilized in many countries to improve their systems to qualitatively, but also quantitatively equity because we must not forget …
How to define deviance residuals in multinomial regression.
2015
This work is devoted to the study of diagnostic tools for categorical data models with an emphasis on the presence of continuous covariates. In particular, the aim is to define a new class of residuals from the parametric multinomial family of models and to study their asymptotics properties. In logistic regression (as in generalized linear models), there are a few different kinds of residuals; we propose a generalization of deviance residuals as defined in logistic regression to the multinomial case and propose their use in order to identify inadequacies in a multinomial model.
Conditional predictive inference for online surveillance of spatial disease incidence
2011
This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…
Factor selection procedures in a Google Earthtm aided landslide susceptibility model: application to the Beiro river basin (Spain)
2011
A procedure to select the controlling factors connected to the slope instability has been defined. It allowed to assess the landslide susceptibility in the Rio Beiro basin (about 10 km2) over the north-eastern area of the city of Granada (Spain). Field and remote (Google EarthTM) recognition techniques allowed to generate a landslide inventory consisting in 127 phenomena. Univariate tests, using both association coefficients and validation results of single parameter susceptibility models, allowed to select among 15 controlling factors the ones that resulted as good predictor variables; these have been combined for unique conditions analysis and susceptibility maps were finally prepared. In…