Institution
Instituto Tecnológico Autónomo de México
Education•Mexico City, Mexico•
About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.
Topics: Politics, Population, Estimator, Interest rate, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: In this article, a calibration stage uses variants of ensemble Kalman inversion to calibrate a model by minimizing mismatches between model and data statistics; an emulation stage emulates the parameter-to-data map with Gaussian processes (GP), using the model runs in the calibration stage for training; and a sampling stage approximates the Bayesian posterior distributions by sampling the GP emulator with MCMC.
Abstract: Parameters in climate models are usually calibrated manually, exploiting only small subsets of the available data. This precludes both optimal calibration and quantification of uncertainties. Traditional Bayesian calibration methods that allow uncertainty quantification are too expensive for climate models; they are also not robust in the presence of internal climate variability. For example, Markov chain Monte Carlo (MCMC) methods typically require $O(10^5)$ model runs and are sensitive to internal variability noise, rendering them infeasible for climate models. Here we demonstrate an approach to model calibration and uncertainty quantification that requires only $O(10^2)$ model runs and can accommodate internal climate variability. The approach consists of three stages: (i) a calibration stage uses variants of ensemble Kalman inversion to calibrate a model by minimizing mismatches between model and data statistics; (ii) an emulation stage emulates the parameter-to-data map with Gaussian processes (GP), using the model runs in the calibration stage for training; (iii) a sampling stage approximates the Bayesian posterior distributions by sampling the GP emulator with MCMC. We demonstrate the feasibility and computational efficiency of this calibrate-emulate-sample (CES) approach in a perfect-model setting. Using an idealized general circulation model, we estimate parameters in a simple convection scheme from synthetic data generated with the model. The CES approach generates probability distributions of the parameters that are good approximations of the Bayesian posteriors, at a fraction of the computational cost usually required to obtain them. Sampling from this approximate posterior allows the generation of climate predictions with quantified parametric uncertainties.
38 citations
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TL;DR: In this article, a study was conducted to test a workplace social exchange network model of employee eco-initiatives in which high-quality relationships with the organization, the supervisor, and the coworkers, influence suggestions for constructive change toward the environment.
38 citations
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TL;DR: The authors assesses whether the program of trade liberalization undertaken by Mexico after 1985 was undermined by lack of credibility and proposes a methodology, based on the estimation of a probit model, to measure the probability of trade policy reversal due to the likelihood of occurrence of a balance of payments crisis.
38 citations
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TL;DR: In this article, the distance correlation coefficient is used to identify new associations and correlations between astrophysical variables, which can be used to determine smaller sets of variables that provide equivalent astrophysical information, and is capable of detecting nonlinear associations that are undetectable by the classical Pearson correlation coefficient.
Abstract: High-dimensional, large-sample astrophysical databases of galaxy clusters, such as the Chandra Deep Field South COMBO-17 database, provide measurements on many variables for thousands of galaxies and a range of redshifts. Current understanding of galaxy formation and evolution rests sensitively on relationships between different astrophysical variables; hence an ability to detect and verify associations or correlations between variables is important in astrophysical research. In this paper, we apply a recently defined statistical measure called the distance correlation coefficient, which can be used to identify new associations and correlations between astrophysical variables. The distance correlation coefficient applies to variables of any dimension, can be used to determine smaller sets of variables that provide equivalent astrophysical information, is zero only when variables are independent, and is capable of detecting nonlinear associations that are undetectable by the classical Pearson correlation coefficient. Hence, the distance correlation coefficient provides more information than the Pearson coefficient. We analyze numerous pairs of variables in the COMBO-17 database with the distance correlation method and with the maximal information coefficient. We show that the Pearson coefficient can be estimated with higher accuracy from the corresponding distance correlation coefficient than from the maximal information coefficient. For given values of the Pearson coefficient, the distance correlation method has a greater ability than the maximal information coefficient to resolve astrophysical data into highly concentrated horseshoe- or V-shapes, which enhances classification and pattern identification. These results are observed over a range of redshifts beyond the local universe and for galaxies from elliptical to spiral.
38 citations
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TL;DR: In this article, the consolidation of plasters and renders showing loss of cohesion, with the use of a treatment with a liquid consolidating product aiming to reach a depth of several mm up to several cm.
Abstract: The paper addresses the consolidation of plasters and renders showing loss of cohesion, with the use of a treatment with a liquid consolidating product aiming to reach a depth of several mm up to several cm. The main aim of the paper is offering a guideline on how to choose a consolidant, suitable and compatible for the mortar type and its condition, and how to assess the performance of a consolidation treatment.
38 citations
Authors
Showing all 1112 results
Name | H-index | Papers | Citations |
---|---|---|---|
Stanislav Pospisil | 105 | 966 | 44510 |
Romeo Ortega | 82 | 778 | 30251 |
Enrique Alba | 57 | 530 | 14535 |
Maria Merino | 56 | 190 | 11282 |
Manuel A. S. Santos | 47 | 255 | 9081 |
Aaron Tornell | 46 | 139 | 10575 |
Georges Zaccour | 43 | 319 | 7245 |
Carlos Velasco | 42 | 220 | 6186 |
Francisco J. Cervantes | 37 | 144 | 5401 |
Hussain Shareef | 35 | 376 | 5377 |
Diego Restuccia | 31 | 95 | 5817 |
Stephen Haber | 30 | 98 | 4326 |
Igor Prünster | 29 | 106 | 3033 |
Víctor M. González | 28 | 165 | 4209 |
Antonio Lijoi | 28 | 123 | 3066 |