Alessio Farcomeni : Citation Profile


Are you Alessio Farcomeni?

Università degli Studi di Roma "Tor Vergata"

6

H index

1

i10 index

118

Citations

RESEARCH PRODUCTION:

48

Articles

5

Papers

RESEARCH ACTIVITY:

   16 years (2003 - 2019). See details.
   Cites by year: 7
   Journals where Alessio Farcomeni has often published
   Relations with other researchers
   Recent citing documents: 31.    Total self citations: 28 (19.18 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pfa429
   Updated: 2019-12-07    RAS profile: 2019-12-06    
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Relations with other researchers


Works with:

Zelli, Roberto (8)

Pittau, M. Grazia (7)

Bartolucci, Francesco (4)

zelli, roberto (2)

Tsagris, Michail (2)

Pennoni, Fulvia (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Alessio Farcomeni.

Is cited by:

Bartolucci, Francesco (14)

Riani, Marco (6)

Peracchi, Franco (4)

Maury, Tristan-Pierre (4)

Pennoni, Fulvia (4)

Punzo, Antonio (3)

Pittau, M. Grazia (3)

Vittadini, Giorgio (3)

Nigro, Valentina (2)

Beaubrun-Diant, Kevin (2)

Zelli, Roberto (2)

Cites to:

Bartolucci, Francesco (51)

Pennoni, Fulvia (19)

Riani, Marco (13)

Zelli, Roberto (10)

Pittau, M. Grazia (10)

Filzmoser, Peter (6)

zelli, roberto (5)

Leo, Teng Wah (5)

Foster, James (5)

Banerjee, Abhijit (4)

Duflo, Esther (4)

Main data


Where Alessio Farcomeni has published?


Journals with more than one article published# docs
Computational Statistics & Data Analysis5
Statistical Methods & Applications5
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research5
Scandinavian Journal of Statistics4
Biometrics4
Journal of the Royal Statistical Society Series C3
Statistics & Probability Letters2
Computational Statistics2
Statistical Applications in Genetics and Molecular Biology2

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany2

Recent works citing Alessio Farcomeni (2019 and 2018)


YearTitle of citing document
2019Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership. (2019). Zens, Gregor. In: Papers. RePEc:arx:papers:1809.04853.

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2017Hidden Markov latent variable models with multivariate longitudinal data. (2017). Song, Xinyuan ; Zhu, Hongtu ; Xia, Yemao. In: Biometrics. RePEc:bla:biomet:v:73:y:2017:i:1:p:313-323.

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2018PERSISTENCE IN CONVERGENCE AND CLUB FORMATION. (2018). Stengos, Thanasis ; Zkan, Harun ; Yazgan, Ege M. In: Bulletin of Economic Research. RePEc:bla:buecrs:v:70:y:2018:i:2:p:119-138.

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2017Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects. (2017). Rao, Tata Subba ; Yao, Qiwei ; Bergsma, Wicher ; Gao, Wei ; Wilson, Granville Tunnicliffe. In: Journal of Time Series Analysis. RePEc:bla:jtsera:v:38:y:2017:i:2:p:266-284.

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2017A Markov-switching regression model with non-Gaussian innovations: estimation and testing. (2017). De Angelis, Luca ; Cinzia, Viroli. In: Studies in Nonlinear Dynamics & Econometrics. RePEc:bpj:sndecm:v:21:y:2017:i:2:p:22:n:3.

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2017Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers. (2017). Punzo, Antonio ; Maruotti, Antonello. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:113:y:2017:i:c:p:475-496.

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2018ICS for multivariate outlier detection with application to quality control. (2018). Ruiz-Gazen, Anne ; Nordhausen, Klaus ; Archimbaud, Aurore. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:128:y:2018:i:c:p:184-199.

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2019Modelling and estimation of nonlinear quantile regression with clustered data. (2019). Geraci, Marco. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:136:y:2019:i:c:p:30-46.

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2017Multiple risk measures for multivariate dynamic heavy–tailed models. (2017). Bernardi, Mauro ; Petrella, Lea ; Maruotti, Antonello. In: Journal of Empirical Finance. RePEc:eee:empfin:v:43:y:2017:i:c:p:1-32.

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2019The unobserved pattern of material hardship and health among older Americans. (2019). Li, Paolo. In: Journal of Health Economics. RePEc:eee:jhecon:v:65:y:2019:i:c:p:31-42.

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2019On the estimation of population sizes in capture–recapture experiments. (2019). Rivest, Louis-Paul ; Yauck, Mamadou. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:173:y:2019:i:c:p:512-524.

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2019Joint estimation of conditional quantiles in multivariate linear regression models with an application to financial distress. (2019). Raponi, Valentina ; Petrella, Lea. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:173:y:2019:i:c:p:70-84.

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2019Testing multivariate scatter parameter in elliptical model based on forward search method. (2019). Chakraborty, Chitradipa. In: Statistics & Probability Letters. RePEc:eee:stapro:v:147:y:2019:i:c:p:66-72.

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2017Estimation for dynamic and static panel probit models with large individual effects. (2017). Gao, Wei ; Bergsma, Wicher ; Yao, Qiwei. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:65165.

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2019A nonlinear dynamic factor model of health and medical treatment. (2019). Peracchi, Franco ; Rossetti, Claudio. In: EIEF Working Papers Series. RePEc:eie:wpaper:1901.

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2018On the robustness of the principal volatility components. (2018). Valls Pereira, Pedro ; Hotta, Luiz ; Trucios, Carlos Cesar. In: Textos para discussão. RePEc:fgv:eesptd:474.

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2018Income Inequality, Cohesiveness and Commonality in the Euro Area: A Semi-Parametric Boundary-Free Analysis. (2018). Zelli, Roberto ; Thomas, Jasmin ; Pittau, M. Grazia ; Anderson, Gordon. In: Econometrics. RePEc:gam:jecnmx:v:6:y:2018:i:2:p:15-:d:137411.

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2019The Effect of the Arab Spring on the Preferences for Redistribution in Egypt. (2019). Volle, Alexandre ; el Rafhi, Bilal. In: Post-Print. RePEc:hal:journl:hal-02101392.

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2019Dynamic discrete mixtures for high frequency prices. (2019). Santucci de Magistris, Paolo ; di Mari, Roberto ; Catania, Leopoldo. In: Discussion Papers. RePEc:not:notgts:19/05.

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2018Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models. (2018). Lupparelli, Monia ; Tarantola, Claudia ; Ntzoufras, Ioannis. In: DEM Working Papers Series. RePEc:pav:demwpp:demwp0149.

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2018Banks’ leverage behaviour in a two-agent New Keynesian model. (2018). Punzo, Chiara ; Boitani, Andrea. In: DEM Working Papers Series. RePEc:pav:demwpp:demwp0150.

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2018Firms Dynamics and Business Cycle: New Disaggregated Data. (2018). Zanetti Chini, Emilio ; rossi, lorenza. In: DEM Working Papers Series. RePEc:pav:demwpp:demwp0151.

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2019Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics. (2019). Tullio, Federico ; Bartolucci, Francesco. In: MPRA Paper. RePEc:pra:mprapa:91459.

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2019A Nonlinear Dynamic Factor Model of Health and Medical Treatment. (2019). Peracchi, Franco ; Rossetti, Claudio. In: CSEF Working Papers. RePEc:sef:csefwp:524.

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2019Assessing trimming methodologies for clustering linear regression data. (2019). Torti, Francesca ; Cerioli, Andrea ; Riani, Marco ; Perrotta, Domenico. In: Advances in Data Analysis and Classification. RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0331-4.

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2018A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models. (2018). Kani, Amirali ; Desarbo, Wayne S. In: Customer Needs and Solutions. RePEc:spr:custns:v:5:y:2018:i:3:d:10.1007_s40547-018-0088-0.

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2018Bayesian quantile regression for analyzing ordinal longitudinal responses in the presence of non-ignorable missingness. (2018). Ghasemzadeh, Siamak ; Baghfalaki, Taban ; Ganjali, Mojtaba. In: METRON. RePEc:spr:metron:v:76:y:2018:i:3:d:10.1007_s40300-018-0136-4.

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2018The power of monitoring: how to make the most of a contaminated multivariate sample. (2018). Riani, Marco ; Corbellini, Aldo ; Atkinson, Anthony C ; Cerioli, Andrea. In: Statistical Methods & Applications. RePEc:spr:stmapp:v:27:y:2018:i:4:d:10.1007_s10260-017-0409-8.

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2018Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model. (2018). Pigini, Claudia ; Bartolucci, Francesco ; Nigro, Valentina. In: Econometric Reviews. RePEc:taf:emetrv:v:37:y:2018:i:1:p:61-88.

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2019Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data. (2019). Schneider, Markus ; Scharfenaker, Ellis. In: Working Paper Series, Department of Economics, University of Utah. RePEc:uta:papers:2019_08.

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2018Uncontrolled diabetes and health care utilisation: a bivariate Latent Markov model approach. (2018). Zucchelli, Eugenio ; Gill, J. In: Health, Econometrics and Data Group (HEDG) Working Papers. RePEc:yor:hectdg:18/28.

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Works by Alessio Farcomeni:


YearTitleTypeCited
2009A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure In: Journal of the American Statistical Association.
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article35
2011k-FWER Control without p -value Adjustment, with Application to Detection of Genetic Determinants of Multiple Sclerosis in Italian Twins In: Biometrics.
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article1
2013FDR Control with Pseudo-Gatekeeping Based on a Possibly Data Driven Order of the Hypotheses In: Biometrics.
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article0
2015A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates In: Biometrics.
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article4
2016A general class of recapture models based on the conditional capture probabilities In: Biometrics.
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2019A dynamic inhomogeneous latent state model for measuring material deprivation In: Journal of the Royal Statistical Society Series A.
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2016Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data In: Journal of the Royal Statistical Society Series C.
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article0
2018Fully general Chao and Zelterman estimators with application to a whale shark population In: Journal of the Royal Statistical Society Series C.
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2019Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations In: Journal of the Royal Statistical Society Series C.
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2010A note on the mixture transition distribution and hidden Markov models In: Journal of Time Series Analysis.
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article2
2007Some Results on the Control of the False Discovery Rate under Dependence In: Scandinavian Journal of Statistics.
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article8
2009Generalized Augmentation to Control the False Discovery Exceedance in Multiple Testing In: Scandinavian Journal of Statistics.
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article2
2015Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures In: Scandinavian Journal of Statistics.
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article0
2019Wild adaptive trimming for robust estimation and cluster analysis In: Scandinavian Journal of Statistics.
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2015Latent class recapture models with flexible behavioural response In: Statistica.
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2011A Three Component Latent Class Model for Robust Semiparametric Gene Discovery In: Statistical Applications in Genetics and Molecular Biology.
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2012A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in Microarray time course data In: Statistical Applications in Genetics and Molecular Biology.
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2007Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments In: Computational Statistics & Data Analysis.
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2010A two-component Weibull mixture to model early and late mortality in a Bayesian framework In: Computational Statistics & Data Analysis.
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2011Error rates for multivariate outlier detection In: Computational Statistics & Data Analysis.
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2012Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data In: Computational Statistics & Data Analysis.
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2013Robust distances for outlier-free goodness-of-fit testing In: Computational Statistics & Data Analysis.
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2016Has the attitude of US citizens towards redistribution changed over time? In: Economic Modelling.
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article2
2016A new approach to measuring and studying the characteristics of class membership: Examining poverty, inequality and polarization in urban China In: Journal of Econometrics.
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2014Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter In: Journal of Multivariate Analysis.
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2011Hidden Markov partition models In: Statistics & Probability Letters.
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article1
2011A conservative estimator for the proportion of false nulls based on Dvoretzky, Kiefer and Wolfowitz inequality In: Statistics & Probability Letters.
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article0
2019Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development Since 1990 In: Journal of Economic Development.
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2018Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development since 1990.(2018) In: Working Papers.
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2017Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets In: Journal of Statistical Software.
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2016Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets.(2016) In: MPRA Paper.
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2003Unified conditional frequentist and Bayesian testing: computations in practice and sample size determination In: Metron - International Journal of Statistics.
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2011Recapture models under equality constraints for the conditional capture probabilities In: Biometrika.
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2012Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: MPRA Paper.
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2014Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates.(2014) In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2017A fuzzy approach to robust regression clustering In: Advances in Data Analysis and Classification.
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2009An exact approach to sparse principal component analysis In: Computational Statistics.
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2015S-estimation of hidden Markov models In: Computational Statistics.
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article1
2009Robust Double Clustering: A Method Based on Alternating Concentration Steps In: Journal of Classification.
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2015Linear quantile regression models for longitudinal experiments: an overview In: METRON.
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2017A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework In: Psychometrika.
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2006More Powerful Control of the False Discovery Rate Under Dependence In: Statistical Methods & Applications.
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2006More Powerful Control of the False Discovery Rate Under Dependence.(2006) In: Statistical Methods & Applications.
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2012Modelling work history patterns in the Italian labour market In: Statistical Methods & Applications.
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2018Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy In: Statistical Methods & Applications.
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2018The power of (extended) monitoring in robust clustering In: Statistical Methods & Applications.
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2010Reference Bayesian methods for recapture models with heterogeneity In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2014Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2015Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2016A plug-in approach to sparse and robust principal component analysis In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2011Joint analysis of occurrence and time to stability after entrance into the Italian labour market: an approach based on a Bayesian cure model with structured stochastic search variable selection In: Journal of Applied Statistics.
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2014A new approach to measuring and studying the characteristics of class membership: The progress of poverty, inequality and polarization of income classes in urban China. In: Working Papers.
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2017Rectangular latent Markov models for time-specific clustering In: Working Papers.
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