Search results for "regression"

showing 10 items of 2619 documents

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

2021

The current exponential increase of spatiotemporally explicit data streams from satellite-based Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential vegetation variables by means of hybrid retrieval approaches, i.e., machine learning regression algorithms trained by radiative transfer model (RTM) simulations. In this study we summarize AL theory and perform a brief systematic literature survey about AL heuristics used in the context of Earth observation regression problems over terrestrial targets. Across all relevant studies it appeared that…

Earth observation010504 meteorology & atmospheric sciencesComputer scienceActive learning (machine learning)Science0211 other engineering and technologiesEnMAP02 engineering and technologycomputer.software_genre01 natural sciencesKriging021101 geological & geomatics engineering0105 earth and related environmental sciencesData processingData stream miningQSampling (statistics)15. Life on landquery strategieshyperspectraloptimal experimental designGeneral Earth and Planetary SciencesData miningHeuristicsLiterature surveycomputerGaussian process regressionRemote Sensing
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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

2021

For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient time series processor to fill up gaps in optical imagery, typically due to cloud cover. This makes GPR perfectly suited for large-scale spatiotemporal processing of satellite imageries into cloud-free products of biophysical variables. With the advent of the Google Earth Engine (GEE) cloud platform, new opportunities emerged to process local-to-planetary scale satellite data using advanced machine …

Earth observationGoogle Earth Engine (GEE); Gaussian process regression (GPR); machine learning; Sentinel-2; gap filling; leaf area index (LAI)010504 meteorology & atmospheric sciencesComputer scienceScienceleaf area index (LAI)0211 other engineering and technologiesCloud computing02 engineering and technologycomputer.software_genre01 natural sciencesKrigingGaussian process regression (GPR)021101 geological & geomatics engineering0105 earth and related environmental sciencesPixelbusiness.industryQGoogle Earth Engine (GEE)machine learningKernel (image processing)Ground-penetrating radarGeneral Earth and Planetary SciencesData miningSentinel-2Scale (map)businesscomputergap fillingLevel of detailRemote Sensing; Volume 13; Issue 3; Pages: 403
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Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

2009

12 páginas, 4 figuras, 3 tablas.

EcologyOrdinary least squaresLinear regressionAutocorrelationRange (statistics)ResidualPatterns of DiversitySpatial analysisEcology Evolution Behavior and SystematicsRegressionMacroecologyMathematicsEcography
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The Real Effects of Bank Branch Deregulation at Various Stages of Economic Development: The European Experience

2011

This paper provides evidence on the links between financial deregulation and economic performance in a European context. Specifically, we study the relaxation of bank branching restrictions in Spain which triggered off a remarkable inter-regional expansion of savings banks which was coincidental with an unprecedented period of sustained growth. Although related questions have been largely investigated for the US, the European experiences remain largely unexplored. An additional contribution is the use of quantile regression techniques which, unlike traditional OLS regression analysis, do not focus on the “average effect for the average province”. This change of focus helps to overcome the d…

Economic growthDeregulationOrdinary least squaresEconomicsFinancial deregulationContext (language use)Capital intensityMonetary economicsPer capita incomeProductivityQuantile regressionSSRN Electronic Journal
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Macroeconomic knowledge of higher education students in Germany and Japan – a multilevel analysis of contextual and personal effects

2016

Recent trends towards harmonising and internationalising business and economics studies in higher education are affecting the structure and content of programmes and courses, and necessitate more transparent and comparable information on students’ economic knowledge and skills. In this study, we examine by linear multilevel regression modelling the current state of macroeconomic knowledge of higher education students in Germany and Japan, while controlling for the effects of key study-related aspects such as study progress and completion of economics courses. We assess macroeconomic knowledge using the internationally established Test of Understanding in College Economics, which has been ad…

Economic growthHigher educationbusiness.industryKnowledge leveleducation05 social sciencesMultilevel modelEconomics education050301 educationAccountingEducational attainmentMultilevel regressionEducationTest (assessment)Political science0502 economics and businessSignificant positive correlation050207 economicsbusiness0503 educationAssessment & Evaluation in Higher Education
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Is ICT the Key to Development?

2010

Using panel data for 52 developed and developing countries over the period 1998-2006, this article examines the links between information and communication technology diffusion and human development. We conducted a panel regression analysis of the investments per capita in healthcare, education and information and communication technology against human development index scores. Using a quantile regression approach, our findings suggest that changes in healthcare, education and information and communication technology provision have a stronger impact on human development index scores for less developed than for highly developed countries. Furthermore, at lower levels of development education…

Economic growthInformation Systems and ManagementPublic economicsStrategy and ManagementDeveloping countryManagement Science and Operations ResearchHuman development (humanity)Computer Science ApplicationsQuantile regressionInformation and Communications TechnologyPer capitaEconomicsHuman Development IndexBusiness and International ManagementDeveloped countryPanel dataJournal of Global Information Management (JGIM)
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Does Tourism Consumption Behaviour Mirror Differences in Living Standards?

2016

Based on the theoretical foundation of well-being measurement, the study explores differences in living standards by analysing the distribution of tourism expenditure. A mixture of regression models is used to explore the heterogeneity in tourism consumption by identifying groups of families with similar tourism consumption behaviour as a function of certain socio-demographic and economic factors. The empirical analysis, performed on Italian expenditure data, suggests that there are three different patterns of consumption behaviour conditional to the socio-demographic and economic covariates in the tourism market and that differences in tourism consumption between groups of households mirro…

Economic growthSociology and Political ScienceInequalitymedia_common.quotation_subjectDistribution (economics)Standard of living01 natural sciencesMixture regression modelTourism market010104 statistics & probabilityArts and Humanities (miscellaneous)0502 economics and businessHuman geographyDevelopmental and Educational PsychologyEconomics050207 economics0101 mathematicsLiving standardsConsumption heterogeneityTourism expenditure distributionMixture regression modelsTourism expenditure distributionmedia_commonConsumption (economics)Living standardPublic economicsbusiness.industry05 social sciencesGeneral Social SciencesRegression analysisSettore SECS-S/03 - Statistica EconomicaConsumption heterogeneitybusinessTourism
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Measuring Returns to Education: The Case of Latvia

2015

This paper aims to measure returns to education in Latvia and place them in context of data available in other countries. The goals of this paper are to review the literature on returns to education, highlighting the measurement challenges, and, based on the 2011 labour market survey data, estimate private returns to education in Latvia overall as well as by individual characteristics. The main findings are that returns to education in Latvia are close to the European Union average, but lower than in some emerging markets e.g. Lithuania, and that there are statistically significant differences in returns to education depending on a person’s gender, ethnicity, field of employment and locatio…

Economic growthbusiness.industryEthnic groupContext (language use)Regression analysisGeneral MedicineMarket researchEconomicsmedia_common.cataloged_instanceDemographic economicsEuropean unionEmerging marketsbusinessmedia_commonAnnals of the Alexandru Ioan Cuza University - Economics
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Older Peruvian Migrants’ Capacity and Desire to Send Remittances from Spain

2016

This article draws on the conceptual framework of capacity and desire to analyze the remitting behavior of older Peruvian migrants in Spain. Cross-sectional survey data are explored using regression analysis to estimate how local and transnational factors relate to the sending of remittances. To reveal the complexities involved in this activity, the findings are discussed in the light of qualitative data gathered through semi-structured interviews with older Peruvian migrants in the metropolitan area of Barcelona. Results show that economic integration and transnational ties and practices are strong predictors for the sending of remittances, with local language skills being of intermediate …

Economic integrationEconomic growth05 social sciencesQualitative propertyRegression analysisMetropolitan area0506 political science0502 economics and business050602 political science & public administrationGeneral Earth and Planetary SciencesSurvey data collectionRelevance (information retrieval)The Conceptual FrameworkDemographic economicsSociologyLocal language050207 economicsGeneral Environmental ScienceThe Latin Americanist
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Impact of COVID-19 on the travel and tourism industry.

2021

Abstract Our paper is among the first to measure the potential effects of the COVID-19 pandemic on the tourism industry. Using panel structural vector auto-regression (PSVAR) (Pedroni, 2013) on data from 1995 to 2019 in 185 countries and system dynamic modeling (real-time data parameters connected to COVID-19), we estimate the impact of the pandemic crisis on the tourism industry worldwide. Past pandemic crises operated mostly through idiosyncratic shocks' channels, exposing domestic tourism sectors to large adverse shocks. Once domestic shocks perished (zero infection cases), inbound arrivals revived immediately. The COVID-19 pandemic, however, is different; and recovery of the tourism ind…

Economic policybusiness.industry020209 energy05 social sciencesCapacity buildingPublic policyDomestic tourism02 engineering and technologyCOVID-19 ; pandemic crises ; panel structural vector autoregression (PSVAR) ; system dynamics ; tourism industry ; financial cyclesManagement of Technology and Innovation0502 economics and businessSustainabilityPandemic0202 electrical engineering electronic engineering information engineeringBusinessEconomic impact analysisBusiness and International Management050203 business & managementApplied PsychologyTourismRisk managementTechnological forecasting and social change
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