Готові списки джерел за темами / Non-Asymptotic and robust estimation

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Добірка наукової літератури з теми "Non-Asymptotic and robust estimation"

Автор: Grafiati
Опубліковано: 18 січня 2024
Оновлено: 7 липня 2024

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Статті в журналах з теми "Non-Asymptotic and robust estimation"

1

Hirose, Kei, and Hiroki Masuda. "Robust Relative Error Estimation." Entropy 20, no. 9 (2018): 632. http://dx.doi.org/10.3390/e20090632.

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Анотація:
Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers. To address this issue, we employ the γ -likelihood function, which is constructed through γ -cross entropy with keeping the original statistical model in use. The estimating equation has a redescending property, a desirable property in robust statistics, for a broad class of noise distributions. To find a minimizer of the negative γ -likelihood function, a majorize-minimization (MM) algorithm is constructed. The pr
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2

Rudenko, O. G., О. О. Bessonov, N. М. Serdyuk, К. О. Olijnik, and О. S. Romanyuk. "Robust object identification in the presence of non-Gaussian interference." Bionics of Intelligence 2, no. 93 (2019): 7–12. http://dx.doi.org/10.30837/bi.2019.2(93).02.

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The problem of identifying the parameters of a linear object in the presence of non-Gaussian interference is considered based on minimizing a combined functional that combines the properties of OLS and IIS. The conditions for the convergence of the gradient identification algorithm in mean and mean square are determined. Analytical estimates are obtained for non-asymptotic and asymptotic values of the parameter estimation error and the identification accuracy. It is shown that these values of the estimation error and identification accuracy depend on the choice of the mixing parameter.
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3

Ekundayo, Gbenga, and Ndubuisi Jeffery Jamani. "Estimation of Audit Delay Determinants: Do Outliers and Asymptotic Properties Matter?" European Journal of Business and Management Research 7, no. 5 (2022): 54–62. http://dx.doi.org/10.24018/ejbmr.2022.7.5.1604.

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The overriding objective of the study is to empirically examine if outliers and asymptotic properties of estimators matter in the estimation of audit delay determinants. The study employed the ex-post causal research design and focuses on a sample of ten (10) listed oil and gas firms in Nigeria. Secondary data from the content analysis of annual reports spanning the period 2010-2019 was used for the study. The study investigates if outliers and asymptotic properties matter in estimation outcomes comparing the following estimators; the standard OLS, Bootstrapped OLS and Robust estimators. The o
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4

Calderon, Sergio, and Daniel Ordoñez Callamad. "Additive Outliers in Open-Loop Threshold Autoregressive Models: A Simulation Study." Revista Colombiana de Estadística 45, no. 1 (2022): 1–39. http://dx.doi.org/10.15446/rce.v45n1.92965.

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The effect of additive outliers is studied on an adapted non-linearity test and a robust estimation method for autoregressive coefficients in open-loop TAR (threshold autoregressive) models. Through a Monte Carlo experiment, the power and size of the non-linearity test are studied. Regarding the estimation method, the bias and ratio of mean squared errors are compared between the robust estimator and least squares. Simulation exercises are carried out for different percentages of contamination and the proportion of observations on each model regime. Furthermore, the approximation of the univar
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5

Liu, Jie, Da-Yan Liu, Driss Boutat, Xuefeng Zhang, and Ze-Hao Wu. "Innovative non-asymptotic and robust estimation method using auxiliary modulating dynamical systems." Automatica 152 (June 2023): 110953. http://dx.doi.org/10.1016/j.automatica.2023.110953.

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Fiteni, Inmaculada. "ROBUST ESTIMATION OF STRUCTURAL BREAK POINTS." Econometric Theory 18, no. 2 (2002): 349–86. http://dx.doi.org/10.1017/s0266466602182065.

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This paper proposes robust M-estimators of dynamic linear models with a structural break of unknown location. Rates of convergence and limiting distributions for the estimated shift point and the estimated regression parameters are derived. The analysis is carried out in the framework of possibly dependent observations and also with trending regressors. The asymptotic distribution of the break location estimator is obtained both for fixed magnitude of shift and for shift with magnitude converging to zero as the sample size increases. The latter is essential for the derivation of feasible confi
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7

Ritov, Ya'acov. "Asymptotic results in robust quasi-bayesian estimation." Journal of Multivariate Analysis 23, no. 2 (1987): 290–302. http://dx.doi.org/10.1016/0047-259x(87)90158-8.

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Poudyal, Chudamani. "ROBUST ESTIMATION OF LOSS MODELS FOR LOGNORMAL INSURANCE PAYMENT SEVERITY DATA." ASTIN Bulletin 51, no. 2 (2021): 475–507. http://dx.doi.org/10.1017/asb.2021.4.

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AbstractThe primary objective of this scholarly work is to develop two estimation procedures – maximum likelihood estimator (MLE) and method of trimmed moments (MTM) – for the mean and variance of lognormal insurance payment severity data sets affected by different loss control mechanism, for example, truncation (due to deductibles), censoring (due to policy limits), and scaling (due to coinsurance proportions), in insurance and financial industries. Maximum likelihood estimating equations for both payment-per-payment and payment-per-loss data sets are derived which can be solved readily by an
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Vermeulen, Karel, and Stijn Vansteelandt. "Data-Adaptive Bias-Reduced Doubly Robust Estimation." International Journal of Biostatistics 12, no. 1 (2016): 253–82. http://dx.doi.org/10.1515/ijb-2015-0029.

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Анотація:
Abstract Doubly robust estimators have now been proposed for a variety of target parameters in the causal inference and missing data literature. These consistently estimate the parameter of interest under a semiparametric model when one of two nuisance working models is correctly specified, regardless of which. The recently proposed bias-reduced doubly robust estimation procedure aims to partially retain this robustness in more realistic settings where both working models are misspecified. These so-called bias-reduced doubly robust estimators make use of special (finite-dimensional) nuisance p
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Chen, Haiqiang. "ROBUST ESTIMATION AND INFERENCE FOR THRESHOLD MODELS WITH INTEGRATED REGRESSORS." Econometric Theory 31, no. 4 (2014): 778–810. http://dx.doi.org/10.1017/s0266466614000553.

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This paper studies the robust estimation and inference of threshold models with integrated regressors. We derive the asymptotic distribution of the profiled least squares (LS) estimator under the diminishing threshold effect assumption that the size of the threshold effect converges to zero. Depending on how rapidly this sequence converges, the model may be identified or only weakly identified and asymptotic theorems are developed for both cases. As the convergence rate is unknown in practice, a model-selection procedure is applied to determine the model identification strength and to construc
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Дисертації з теми "Non-Asymptotic and robust estimation"

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Sohrabi, Maryam. "On Robust Asymptotic Theory of Unstable AR(p) Processes with Infinite Variance." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34280.

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In this thesis, we explore some asymptotic results in heavy-tailed theory. There are many empirical and compelling evidence in statistics that require modeling with heavy tailed observations. This thesis is divided into three parts. First, we consider a robust estimation of the mean vector for a sequence of independent and identically distributed observations in the domain of attraction of a stable law with possibly different indices of stability between 1 and 2. The suggested estimator is asymptotically normal with unknown parameters. We apply an asymptotically valid bootstrap to const
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2

Danilov, Mikhail. "Robust estimation of multivariate scatter in non-affine equivariant scenarios." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/19462.

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We consider the problem of robust estimation of the scatter matrix of an elliptical distribution when observed data are corrupted in a cell-wise manner. The first half of the thesis develops a framework for dealing with data subjected to independent cell-wise contamination. Each data cell (as opposed to data case in traditional robustness) can be contaminated independently of the rest of the case. Instead of downweighting the whole case we attempt to identify the affected cells, remove the offending values and treat them as missing at random for subsequent likelihood-based processing. We explo
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3

Tamburello, Philip Michael. "Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/64785.

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Анотація:
The autocorrelation function is a commonly used tool in statistical time series analysis. Under the assumption of Gaussianity, the sample autocorrelation function is the standard method used to estimate this function given a finite number of observations. Non-Gaussian, impulsive observation noise following probability density functions with thick tails, which often occurs in practice, can bias this estimator, rendering classical time series analysis methods ineffective. This work examines the robustness of two estimators of correlation based on memoryless nonlinear functions of observations,
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4

Yan, Jiajia. "Statistical analysis on diffusion tensor estimation." Thesis, University of Wolverhampton, 2017. http://hdl.handle.net/2436/621860.

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Анотація:
Diffusion tensor imaging (DTI) is a relatively new technology of magnetic resonance imaging, which enables us to observe the insight structure of the human body in vivo and non-invasively. It displays water molecule movement by a 3×3 diffusion tensor at each voxel. Tensor field processing, visualisation and tractography are all based on the diffusion tensors. The accuracy of estimating diffusion tensor is essential in DTI. This research focuses on exploring the potential improvements at the tensor estimation of DTI. We analyse the noise arising in the measurement of diffusion signals. We prese
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Frontera, Pons Joana Maria. "Robust target detection for Hyperspectral Imaging." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0024/document.

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L'imagerie hyperspectrale (HSI) repose sur le fait que, pour un matériau donné, la quantité de rayonnement émis varie avec la longueur d'onde. Les capteurs HSI mesurent donc le rayonnement des matériaux au sein de chaque pixel pour un très grand nombre de bandes spectrales contiguës et fournissent des images contenant des informations à la fois spatiale et spectrale. Les méthodes classiques de détection adaptative supposent généralement que le fond est gaussien à vecteur moyenne nul ou connu. Cependant, quand le vecteur moyen est inconnu, comme c'est le cas pour l'image hyperspectrale, il doit
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6

Wang, Zhibo. "Estimations non-asymptotiques et robustes basées sur des fonctions modulatrices pour les systèmes d'ordre fractionnaire." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0003.

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Анотація:
Cette thèse développe la méthode des fonctions modulatrices pour des estimations non-asymptotiques et robustes pour des pseudo-états des systèmes nonlinéaires d'ordre fractionnaire, des systèmes linéaires d'ordre fractionnaire avec des accélérations en sortie, et des systèmes à retards d'ordre fractionnaire. Les estimateurs conçus sont fournis en termes de formules intégrales algébriques, ce qui assure une convergence non-asymptotique. Comme une caractéristique essentielle des algorithmes d'estimation conçus, les mesures de sorties bruitées ne sont impliquées que dans les termes intégraux, ce
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Beltaief, Slim. "Algorithmes optimaux de traitement de données pour des systèmes complexes d'information et télécommunication dans un environnement incertain." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMR056/document.

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Анотація:
Ce travail est consacré au problème d'estimation non paramétrique dans des modèles de régression en temps continu. On considère le problème d'estimation d'une fonction inconnue S supposée périodique. Cette estimation est basée sur des observations générées par un processus stochastique; ces observations peuvent être en temps continu ou discret. Pour ce faire, nous construisons une série d'estimateurs par projection et nous approchons la fonction inconnue S par une série de Fourier finie. Dans cette thèse, nous considérons le problème d'estimation dans le cadre adaptatif, c'est-à-dire le cas où
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8

Liu, Jie. "State Estimation for Linear Singular and Nonlinear Dynamical Systems Based on Observable Canonical Forms." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2024. http://www.theses.fr/2024ISAB0002.

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Cette thèse a pour objectif, d’une part, de concevoir des estimateurs pour les systèmessinguliers linéaires en utilisant la méthode des fonctions de modulation. D’autrepart, elle vise à développer des observateurs pour une classe de systèmes dynamiquesnon linéaires en utilisant la méthode des formes normales d’observateurs. Pour lessystèmes singuliers, les estimateurs conçus sont présentés sous forme de formulesintégrales algébriques, garantissant une convergence non asymptotique. Une caractéristique essentielle des algorithmes d’estimation conçus est que les mesures bruitées des sorties ne so
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Herrington, Richard S. "Simulating Statistical Power Curves with the Bootstrap and Robust Estimation." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc2846/.

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Анотація:
Power and effect size analysis are important methods in the psychological sciences. It is well known that classical statistical tests are not robust with respect to power and type II error. However, relatively little attention has been paid in the psychological literature to the effect that non-normality and outliers have on the power of a given statistical test (Wilcox, 1998). Robust measures of location exist that provide much more powerful tests of statistical hypotheses, but their usefulness in power estimation for sample size selection, with real data, is largely unknown. Furthermore, pra
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Van, Deventer Petrus Jacobus Uys. "Outliers, influential observations and robust estimation in non-linear regression analysis and discriminant analysis." Doctoral thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/4363.

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Книги з теми "Non-Asymptotic and robust estimation"

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T, Rachev S., and Fabozzi Frank J, eds. Robust and non-robust models in statistics. Nova Science Publishers, 2009.

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2

Jurečková, Jana. Robust statistical procedures: Asymptotics and interrelations. Wiley, 1996.

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3

Clarke, Brenton R. Robustness Theory And Application: First edition. Edited by J. Stuart Hunter and Joseph B. Kadane. John Wiley & Sons, 2018.

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4

Wheelock, David C. Robust non-parametric quantile estimation of efficiency and productivity change in U.S. commercial banking, 1985-2004. Federal Reserve Bank of St. Louis, 2006.

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5

Cheng, Russell. Non-Standard Parametric Statistical Inference. Oxford University Press, 2017.

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6

Jana Jurečková and Pranab Kumar Sen. Robust Statistical Procedures: Asymptotics and Interrelations. Wiley-Interscience, 1996.

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7

Clarke, Brenton R. Robustness Theory and Application. Wiley & Sons, Limited, John, 2018.

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8

Clarke, Brenton R. Robustness Theory and Application. Wiley & Sons, Incorporated, John, 2018.

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9

Inverted Pendulum in Control Theory and Robotics: From Theory to New Innovations. Institution of Engineering & Technology, 2017.

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Частини книг з теми "Non-Asymptotic and robust estimation"

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Bednarski, Tadeusz. "Fréchet Differentiability and Robust Estimation." In Asymptotic Statistics. Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57984-4_4.

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Kitsos, Christos P., and Christine H. Müller. "Robust Estimation of Non-linear Aspects." In Contributions to Statistics. Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-662-12516-8_24.

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De Brabanter, Jos, Kristiaan Pelckmans, Johan A. K. Suykens, and Joos Vandewalle. "Robust Cross-Validation Score Function for Non-linear Function Estimation." In Artificial Neural Networks — ICANN 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46084-5_116.

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Sheng, Hu, YangQuan Chen, and TianShuang Qiu. "Non-linear Transform Based Robust Adaptive Latency Change Estimation of Evoked Potentials." In Fractional Processes and Fractional-Order Signal Processing. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2233-3_12.

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Hu, Nan, Weimin Huang, and Surendra Ranganath. "Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation." In Computer Vision – ECCV 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11744078_28.

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Kumar, Kunal, Prince Kumar, and Susmita Kar. "A Non-Iterative Robust Scheme for Static State Estimation Based on S-Estimator Using Complex PMU Measurements." In Renewable Resources and Energy Management. CRC Press, 2023. http://dx.doi.org/10.1201/9781003361312-31.

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Nöll, Tobias, Johannes Köhler, and Didier Stricker. "Robust and Accurate Non-parametric Estimation of Reflectance Using Basis Decomposition and Correction Functions." In Computer Vision – ECCV 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10605-2_25.

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Roensch, Birgit, and Wolfgang Stummer. "Robust Estimation by Means of Scaled Bregman Power Distances. Part I. Non-homogeneous Data." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26980-7_33.

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Tavakkoli, Alireza, Mircea Nicolescu, and George Bebis. "Automatic Robust Background Modeling Using Multivariate Non-parametric Kernel Density Estimation for Visual Surveillance." In Advances in Visual Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11595755_44.

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Golyanik, Vladislav. "Application of Point Set Registration and Monocular Non-Rigid 3D Reconstruction to Scene Flow Estimation." In Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30567-3_10.

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Тези доповідей конференцій з теми "Non-Asymptotic and robust estimation"

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Xu, Yanwen, and Pingfeng Wang. "Sequential Sampling Based Reliability Analysis for High Dimensional Rare Events With Confidence Intervals." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22146.

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Abstract Analysis of rare failure events accurately is often challenging with an affordable computational cost in many engineering applications, and this is especially true for problems with high dimensional system inputs. The extremely low probabilities of occurrences for those rare events often lead to large probability estimation errors and low computational efficiency. Thus, it is vital to develop advanced probability analysis methods that are capable of providing robust estimations of rare event probabilities with narrow confidence bounds. Generally, confidence intervals of an estimator c
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Nugroho, Sebastian, Ahmad Taha, and Junjian Qi. "Robust Dynamic State Estimation of Synchronous Machines with Asymptotic State Estimation Error Performance Guarantees." In 2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. http://dx.doi.org/10.1109/pesgm41954.2020.9281940.

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Xu, Z. B., J. Y. Yao, Z. L. Dong, and Y. Zheng. "Adaptive Robust Control for Hydraulic Actuators With Disturbance Estimation." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50133.

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In this paper, an adaptive robust control for hydraulic actuators with disturbance estimation is proposed for a hydraulic system with mismatched generalized uncertainties (e.g., parameter derivations, external disturbances, and/or unmodeled dynamics), in which a finite time disturbance observer and an adaptive robust controller are synthesized via backstepping method. The finite time disturbance observer is designed to estimate the mismatched generalized uncertainties. The adaptive robust controller is designed to handle parametric uncertainties and stabilize the closed loop system. The propos
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Agamennoni, Gabriel, Stewart Worrall, James Ward, and Eduardo Nebot. "Robust non-linear smoothing for vehicle state estimation." In 2013 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2013. http://dx.doi.org/10.1109/ivs.2013.6629464.

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Fortunati, Stefano, Alexandre Renaux, and Frederic Pascal. "Robust Semiparametric DOA Estimation in non-Gaussian Environment." In 2020 IEEE Radar Conference (RadarConf20). IEEE, 2020. http://dx.doi.org/10.1109/radarconf2043947.2020.9266451.

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Simpkins, Jonathan D., and Robert L. Stevenson. "Robust grid registration for non-blind PSF estimation." In IS&T/SPIE Electronic Imaging, edited by Amir Said, Onur G. Guleryuz, and Robert L. Stevenson. SPIE, 2012. http://dx.doi.org/10.1117/12.909887.

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Tian, Kun, and Hai-hua Yu. "Robust non-fragile fault-tolerant H∞ control for time-delay uncertain linear systems." In 2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF). IEEE, 2015. http://dx.doi.org/10.1109/icedif.2015.7280214.

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Zha, Jingqiang, Junmin Wang, Min Li, Xin Zhang, and Xiao Yu. "Structured Robust Linear Parameter-Varying Vehicle Sideslip Angle Estimation." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9021.

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Abstract Non-smooth structured robust controller design has drawn a lot of attention recently due to its ability to deal with uncertainty and its convenience for implementation. In this paper, the method is extended to design the structured robust linear parameter-varying (LPV) estimator by pulling out scheduling variables from estimator using linear fractional transformation (LFT). The structured robust LPV estimator is then applied to vehicle sideslip angle estimation. Both the measured vehicle speed and estimated tire cornering stiffness are treated as scheduling variables to further reduce
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Mohanty, Amit, and Bin Yao. "Indirect Adaptive Robust Control of Uncertain Systems With Unknown Asymmetric Input Deadband Using a Smooth Inverse." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2771.

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In this paper, we present an indirect adaptive robust controller (IARC) for output tracking of a class of uncertain nonlinear systems with unknown input asymmetric deadband in presence of uncertain nonlinearities and parametric uncertainties. Most of the parameter adaptation algorithms, such as, gradient-type and least squares-type require that the unknown parameters of a system appear in affine with known regressor functions globally. However, deadband nonlinearity can not be represented in those global linear parametric form. Therefore, the existing parameter estimation algorithms for deadba
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Grondin, Francois, and Francois Michaud. "Robust speech/non-speech discrimination based on pitch estimation for mobile robots." In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487306.

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Звіти організацій з теми "Non-Asymptotic and robust estimation"

1

Wheelock, David C., and Paul W. Wilson. Robust Non-parametric Quantile Estimation of Efficiency and Productivity Change in U.S. Commercial Banking, 1985-2004. Federal Reserve Bank of St. Louis, 2006. http://dx.doi.org/10.20955/wp.2006.041.

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2

Horowitz, Joel L. Non-asymptotic inference in instrumental variables estimation. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.4617.

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3

Horowitz, Joel L. Non-asymptotic inference in instrumental variables estimation. The IFS, 2018. http://dx.doi.org/10.1920/wp.cem.2018.5218.

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4

Powell, Andrew, and Matteo Bobba. Aid Effectiveness: Politics Matters. Inter-American Development Bank, 2007. http://dx.doi.org/10.18235/0010874.

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The literature on aid effectiveness has focused more on recipient policies than the determinants of aid allocation yet a consistent result is that political allies obtain more aid from donors than non-allies. This paper shows that aid allocated to political allies is ineffective for growth, whereas aid extended to countries that are not allies is highly effective. The result appears to be robust across different specifications and estimation techniques. In particular, new methods are employed to control for endogeneity. The paper suggests that aid allocation should be scrutinized carefully to
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Schling, Maja, Nicolás Pazos, Leonardo Corral, and Marisol Inurritegui. The Effects of Tenure Security on Women's Empowerment and Food Security: Evidence From a Land Regularization Program in Ecuador. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005355.

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This paper evaluates the impact of a rural land administration program in Ecuador on female empowerment and household food security. Using a double robust estimation that combines the difference-in-difference approach with inverse probability weighting, we explore whether receiving a georeferenced cadastral map of ones parcel provides women with increased bargaining power, empowering them to participate more actively in productive and consumption decision-making that leads to improved diversification of the production portfolio and the households food security. Although we find no significant
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Bouezmarni, Taoufik, Mohamed Doukali, and Abderrahim Taamouti. Copula-based estimation of health concentration curves with an application to COVID-19. CIRANO, 2022. http://dx.doi.org/10.54932/mtkj3339.

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COVID-19 has created an unprecedented global health crisis that caused millions of infections and deaths worldwide. Many, however, argue that pre-existing social inequalities have led to inequalities in infection and death rates across social classes, with the most-deprived classes are worst hit. In this paper, we derive semi/non-parametric estimators of Health Concentration Curve (HC) that can quantify inequalities in COVID-19 infections and deaths and help identify the social classes that are most at risk of infection and dying from the virus. We express HC in terms of copula function that w
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7

Zanoni, Wladimir, and Ailin He. Citizenship and the Economic Assimilation of Canadian Immigrants. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003117.

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In this paper, we examine whether acquiring citizenship improves the economic assimilation of Canadian migrants. We took advantage of a natural experiment made possible through changes in the Canadian Citizenship Act of 2014, which extended the physical presence requirement for citizenship from three to four years. Using quasi-experimental methods, we found that delaying citizenship eligibility by one year adversely affected Canadian residents' wages. Access to better jobs explains a citizenship premium of 11 percent in higher wages among naturalized migrants. Our estimates are robust to model
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8

Cattaneo, Matias D., Richard K. Crump, and Weining Wang. Beta-Sorted Portfolios. Federal Reserve Bank of New York, 2023. http://dx.doi.org/10.59576/sr.1068.

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Beta-sorted portfolios—portfolios comprised of assets with similar covariation to selected risk factors—are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to comparable procedures such as two-pass regressions. We formally investigate the properties of beta-sorted portfolio returns by casting the procedure as a two-step nonparametric estimator with a nonparametric first step and a beta-adaptive portfolios construction. Our framework rationalizes the well-known esti
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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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