• Veröffentlichungen / Publications
• Arbeitspapiere / Working Papers
• Konferenzen / Conferences

Veröffentlichungen / Selected Publications:

• Data-Driven Transformations in Small Area Estimation, with Rojas-Perilla, N., Pannier, S. and Tzavidis, N., Journal of the Royal Statistical Society: Series A, 2019, forthcoming.
• The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators, with Kreutzmann, A.-K., Pannier, S., Rojas-Perilla, N., Templ, M. and Tzavidis, N., Journal of Statistical Software, 2019, forthcoming.
• Analysing radon accumulation in the home by flexible M-quantile mixed effect regression, with Borgoni, R., Carcagni, A. and Salvati, N., Stochastic Environmental Research and Risk Assessment, 2019, forthcoming.
• The fayherriot command for estimating small-area indicators, with Halbmeier, C., Kreutzmann, A.-K. and Schröder, C., Stata Journal, 2019, 19, 626–644.
• From start to finish: A framework for the production of small area official statistics, with Tzavidis, N., Zhang, L.-C., Luna Hernandez, A. and Rojas-Perilla, N., Journal of the Royal Statistical Society: Series A, Read paper, 2018, 181, pp. 927-979.
• Modelling the distribution of health related quality of life of advanced melanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression, with Borgoni, R., Del Bianco, P., Salvati, N., and Tzavidis, N., Statistical Methods in Medical Research, 2018, 27, pp. 549-563.
• Robust small area estimation under spatial non-stationarity, with C. Baldermann and N. Salvati, International Statistical Review, 2018, 86, pp. 136-159 .
• Constructing socio-demographic indicators for National Statistical Institutes using mobile phone data: Estimating literacy rates in Senegal, with Bruckschen, F., Salvati, N. and Zbiranski, T., Journal of the Royal Statistical Society: Series A, 2017, 180, pp. 1163-1190.
• Estimating the density of ethnic minorities and aged people in Berlin: Multivariate kernel density estimation applied to sensitive geo-referenced administrative data protected via measurement error, with Groß, M., Rendtel, U., T., Schmon and Tzavidis, N., Journal of the Royal Statistical Society: Series A, 2017, 180, pp. 161-183.
• Outlier robust small area estimation under spatial correlation, with Chambers, R., Münnich, R. and Tzavidis, N., Scandinavian Journal of Statistics, 2016, 43, pp. 806-826.
• Longitudinal analysis of the Strengths and Difficulties Questionnaire scores of the Millennium Cohort Study children in England using M-quantile random-effects regression, with Flouri, E., Midouhas, E., Salvati, N. and Tzavidis, N., Journal of the Royal Statistical Society: Series A, 2016, 179, pp. 427-452.
• Simulation Tools for Small Area Estimation: Introducing the R-Package saeSim, with Warnholz, S., Austrian Journal of Statistics, 2016, 45, pp. 55-69.
• Spatial robust small area estimation, with Münnich, R., Statistical Papers, 2014, 55, pp. 653-670.

Arbeitspapiere / Working Paper

• Bayesian Smoothing and Benchmarking for Small Area Estimation with Application to Rental Prices in Berlin, with Steorts, R. and Tzavidis, N., Working Paper, 2018, submitted.
• A Unit-level Quantile Nested Error Regression Model for Domain Prediction with Continuous and Discrete Outcomes, with N. Salvati, N. Tzavidis and B. Weidenhammer, Working Paper, 2016.

Konferenzen / Conferences:

• Estimation of Quantiles based on Fay-Herriot Models, mit A. Kreutzmann, N. Salvati, ITACOSM 2017, Bologna, Italien.
• Estimation of Quantiles based on Fay-Herriot Models, mit A. Kreutzmann, N. Salvati, SAE 2017, Paris, Frankreich.
• From start to finish: Specify–Adapt–Evaluate (SAE), mit A. Luna, N. Tzavidis, L.‐C. Zhang, Invited talk, SAE 2015, Santiago, Chile.
• Applications of Mixed Models Methodology for Small Area Estimation in Mexico, mit N. Rojas und N. Tzavidis, Invited session, Statistische Woche 2015, Hamburg.
• A Unit‐level Quantile Nested Error Regression Model for Domain Prediction with Continuous and Discrete Outcomes, mit N. Salvati, N. Tzavidis und B. Weidenhammer, Invited session, ISI 2015, Rio de Janeiro, Brasilien.
• Applications of Mixed Models Methodology for Small Area Estimation in Mexico, mit N. Tzavidis, Invited session, ISI 2015, Rio de Janeiro, Brasilien.
• Estimating the Density of Ethnic Minorities and Aged People in Berlin: Bayesian Measurement Error Multivariate Kernel Density Estimation Applied to Sensitive Administrative Data, mit M. Groß, U. Rendtel, S. Schmon und N. Tzavidis, Invited talk, InGRID Workshop ‐ Local statistics for decision‐making on well‐being and vulnerability, June 2015, Livorno, Italien.
• Dichteschätzung von Migranten auf Basis des Berliner Einwohnerregisters, mit M. Groß, U. Rendtel, S. Schmon und N. Tzavidis, Invited talk, Statistisches Amt, 2015, Wiesbaden.
• Schätzverfahren für kleinräumige Armutsindikatoren, mit N. Tzavidis, Invited talk, Statistisches Amt Berlin‐Brandenburg, 2015, Berlin.
• Small area estimation of income‐based deprivation, inequality indicators and multidimensional deprivation in Mexico, mit N. Tzavidis, Project presentation, Statistisches Amt Mexiko (CONEVAL), 2015, Mexiko City, Mexiko.
• Bias‐corrected outlier robust small domain predictors under spatial correlation, mit R. Chambers, R. Münnich und N. Tzavidis, Invited session, ERCIM2014, Pisa, Italien.
• New developments in SAE of complex deprivation indicators, mit N. Salvati, N. Tzavidis und B. Weidenhammer, Invited session, ERCIM2014, Pisa, Italien.
• Small-Area-Modelle unter Einbeziehung räumlicher Informationen, with Baldermann, C., Invited session, Statistische Woche 2014, Hannover, Germany.
• Korrektur von Rundungsfehlern durch Anonymisierungstechniken in bivariater Kerndichteschätzung, with Groß M., Rendtel U. and Schmon S., Statistische Woche 2014, Hannover, Germany.
• On the use of a data-driven tuning constant in M-Quantile regression, with Salvati N. and Tzavidis N., Statistische Woche 2014, Hannover, Germany.
• A robust unit-level model for small area estimation allowing for spatial non-stationarity, with Baldermann C. and Salvati N., SAE 2014, Poznan, Poland.
• Domain prediction for counts using microsimulation via quantiles, with Salvati N., Tzavidis N. and Weidenhammer, B., Invited session, SAE 2014, Poznan, Poland.
• Bias correction of robust small area estimators under spatial correlation, with Chambers R., Münnich R. and Tzavidis N., Invited session, LinStat2014, Linköping, Sweden.
• Full bias-correction of spatial robust small area estimators in the context of business data, Statistische Woche 2013, Berlin, Germany.
• Spatial quantile regression using the asymmetric Laplace distribution with applications to small area estimation, with Geraci M., Tzavidis N. and Weidenhammer, B., Statistische Woche 2013, Berlin, Germany.
• Robust spatio temporal Fay-Herriot models in small area estimation, with Warnholz, S., Statistische Woche 2013, Berlin, Germany.
• Full-bias correction of spatial robust small area estimators, SAE 2013, Bangkok, Thailand.
• Spatial robust small area methods in the context of Italian business data, with Münnich, R., Invited session, ITACOSM 2013, Mailand, Italy.
• A robust random effect block bootstrap for spatially clustered data, with Chambers R. and Mokhtarian P., DAGStat 2013, Freiburg, Germany.
• Spatial robust small area estimation applied to business data, Goulburn 17, Goulburn, Australia.
• Spatial robust small area estimation applied on business data, with Münnich R. and Zimmermann, T., EESW 2011, Neuchâtel, Switzerland.
• Analysis of business data using spatial robust small area estimation, with Münnich, R., DStatG 2011, Leipzig, Germany.
• Spatial robust small area estimation applied on business data, with Münnich, R., SAE 2011, Trier, Germany.
• Parametric bootstrap MSE estimation for the spatial robust EBLUP, with Münnich, R., ITACOSM 2011, Pisa, Italy.
• Spatial small area estimation to enhance quality and create new knowledge out of business data, with Münnich, R., NTTS 2011, Brussels, Belgium.
• Spatial robust small area estimation, with Münnich, R., ERCIM 2010, London, England.