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Browsing by Subject "Monte Carlo method"
Now showing items 1-11 of 11
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(University College Dublin. School of Economics, 2012-04)Deprivation early in life has multiple long term consequences for both the individual and society. An increasing body of evidence finds that targeted, early interventions aimed at at-risk children and their families can ...
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(Springer, 2010)This paper proposes a new probabilistic classification algorithm using a Markov random field approach. The joint distribution of class labels is explicitly modelled using the distances between feature vectors. Intuitively, ...
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(University College Dublin. School of Business. Centre for Financial MarketsUniversity College Dublin. School of Business, 2007-05)This paper examines the precision of estimators of Quantile-Based Risk Measures (Value at Risk, Expected Shortfall, Spectral Risk Measures). It first addresses the question of how to estimate the precision of these ...
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(University College Dublin. School of Economics, 2006-01)Grouping models are widely used in economics but are subject to finite sample bias. I show that the standard errors-in-variables estimator (EVE) is exactly equivalent to the Jackknife Instrumental Variables Estimator (JIVE), ...
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(Elsevier, 2011-07)Many highway bridges carry traffic in two same-direction lanes, and modeling the traffic loading on such bridges has been the subject of numerous studies. Different assumptions have been used to model multiple-presence ...
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(Taylor & Francis, 2007-12)Traffic load is identified as one of the greatest sources of uncertainty in the assessment of bridges. In recent years, simulation techniques, using measured traffic data, have been used to predict the characteristic traffic ...
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(University College Dublin. Geary Institute, 2010-02)Socioeconomic inequalities in children’s skills and capabilities begin early in life and can have detrimental effects on future success in school. The present study examines the relationships between school readiness and ...
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(University College Dublin. School of Economics, 2006-05)In synthetic cohort models (cross-sectional data grouped at the cohort and year level), researchers often ignore potential biases induced by sampling error because they have 100 or 200 observations per group. I investigate ...
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(John Wiley & Sons, 2007-06)This paper investigates small-sample biases in synthetic cohort models (repeated cross-sectional data grouped at the cohort and year level) in the context of a female labor supply model. I use the Current Population Survey ...
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(RSC Publishing, 2011)We introduce a new method to simulate the physics of rare events. The method, an extension of the Temperature Accelerated Molecular Dynamics, comes in use when the collective variables introduced to characterize the rare ...
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(NRC Research Press, 2005-02)Design and assessment of highway bridge structures requires accurate prediction of the maximum load effects, i.e. shear forces and bending moments etc., which may be expected during the proposed or remaining life of the ...
Now showing items 1-11 of 11