Ulrike Schneider
Personal Details
First Name: | Ulrike |
Middle Name: | |
Last Name: | Schneider |
Suffix: | |
RePEc Short-ID: | psc855 |
[This author has chosen not to make the email address public] | |
Affiliation
Institut für Stochastik und Wirtschaftsmathematik
Technische Universität Wien
Wien, Austriahttps://swm.tuwien.ac.at/
RePEc:edi:imtuwat (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Pötscher, Benedikt M. & Schneider, Ulrike, 2011. "Distributional results for thresholding estimators in high-dimensional Gaussian regression models," MPRA Paper 31882, University Library of Munich, Germany.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2008. "Confidence sets based on penalized maximum likelihood estimators," MPRA Paper 9062, University Library of Munich, Germany.
- Schneider, Ulrike & Wagner, Martin, 2008.
"Catching Growth Determinants with the Adaptive LASSO,"
Economics Series
232, Institute for Advanced Studies.
- Schneider Ulrike & Wagner Martin, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
- Ulrike Schneider & Martin Wagner, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 71-85, February.
- Ulrike Schneider & Martin Wagner, 2009. "Catching Growth Determinants with the Adaptive Lasso," wiiw Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2007. "On the distribution of the adaptive LASSO estimator," MPRA Paper 6913, University Library of Munich, Germany.
Articles
- Kramlinger, Peter & Schneider, Ulrike & Krivobokova, Tatyana, 2023. "Uniformly valid inference based on the Lasso in linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 198(C).
- Amann, Nicolai & Schneider, Ulrike, 2023. "Uniform Asymptotics And Confidence Regions Based On The Adaptive Lasso With Partially Consistent Tuning," Econometric Theory, Cambridge University Press, vol. 39(6), pages 1097-1122, December.
- Werner G. Müller & Carsten Jentsch & Ulrike Schneider, 2021. "Editorial," Statistical Papers, Springer, vol. 62(1), pages 1-2, February.
- Ulrike Schneider, 2016. "Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1412-1455, December.
- Ulrike Schneider & Martin Wagner, 2012.
"Catching Growth Determinants with the Adaptive Lasso,"
German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 71-85, February.
- Schneider Ulrike & Wagner Martin, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
- Schneider, Ulrike & Wagner, Martin, 2008. "Catching Growth Determinants with the Adaptive LASSO," Economics Series 232, Institute for Advanced Studies.
- Ulrike Schneider & Martin Wagner, 2009. "Catching Growth Determinants with the Adaptive Lasso," wiiw Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
- Ulrike Schneider, 2011. "A tabu search tutorial based on a real-world scheduling problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 467-493, December.
- J. N. Corcoran & U. Schneider & H.-B. Schüttler, 2006. "Perfect Stochastic Summation In High Order Feynman Graph Expansions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(11), pages 1527-1549.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Pötscher, Benedikt M. & Schneider, Ulrike, 2011.
"Distributional results for thresholding estimators in high-dimensional Gaussian regression models,"
MPRA Paper
31882, University Library of Munich, Germany.
Cited by:
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014.
"On various confidence intervals post-model-selection,"
MPRA Paper
58326, University Library of Munich, Germany, revised 2014.
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014. "On various confidence intervals post-model-selection," MPRA Paper 52858, University Library of Munich, Germany.
- Ulrike Schneider, 2016. "Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1412-1455, December.
- Leeb, Hannes & Pötscher, Benedikt M. & Kivaranovic, Danijel, 2018. "Comment on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin," MPRA Paper 90655, University Library of Munich, Germany.
- William Kengne, 2023. "On consistency for time series model selection," Statistical Inference for Stochastic Processes, Springer, vol. 26(2), pages 437-458, July.
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014.
"On various confidence intervals post-model-selection,"
MPRA Paper
58326, University Library of Munich, Germany, revised 2014.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2008.
"Confidence sets based on penalized maximum likelihood estimators,"
MPRA Paper
9062, University Library of Munich, Germany.
Cited by:
- Matei Demetrescu & Uwe Hassler & Vladimir Kuzin, 2011. "Pitfalls of post-model-selection testing: experimental quantification," Empirical Economics, Springer, vol. 40(2), pages 359-372, April.
- Yufeng Liu & Yichao Wu, 2011. "Simultaneous multiple non-crossing quantile regression estimation using kernel constraints," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(2), pages 415-437.
- Adam McCloskey, 2012.
"Bonferroni-Based Size-Correction for Nonstandard Testing Problems,"
Working Papers
2012-16, Brown University, Department of Economics.
- McCloskey, Adam, 2017. "Bonferroni-based size-correction for nonstandard testing problems," Journal of Econometrics, Elsevier, vol. 200(1), pages 17-35.
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014.
"On various confidence intervals post-model-selection,"
MPRA Paper
58326, University Library of Munich, Germany, revised 2014.
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014. "On various confidence intervals post-model-selection," MPRA Paper 52858, University Library of Munich, Germany.
- Ulrike Schneider, 2016. "Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1412-1455, December.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2011. "Distributional results for thresholding estimators in high-dimensional Gaussian regression models," MPRA Paper 31882, University Library of Munich, Germany.
- Schneider, Ulrike & Wagner, Martin, 2008.
"Catching Growth Determinants with the Adaptive LASSO,"
Economics Series
232, Institute for Advanced Studies.
- Schneider Ulrike & Wagner Martin, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
- Ulrike Schneider & Martin Wagner, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 71-85, February.
- Ulrike Schneider & Martin Wagner, 2009. "Catching Growth Determinants with the Adaptive Lasso," wiiw Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
Cited by:
- Ivan Savin, 2010.
"A comparative study of the Lasso-type and heuristic model selection methods,"
Working Papers
042, COMISEF.
- Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August.
- Krüger, Jens J. & Rhiel, Mathias, 2016. "Determinants of ICT infrastructure: A cross-country statistical analysis," Darmstadt Discussion Papers in Economics 228, Darmstadt University of Technology, Department of Law and Economics.
- Marcos Sanso-Navarro & María Vera-Cabello, 2015. "Non-linearities in regional growth: A non-parametric approach," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 19-38, November.
- Hajek, Petr & Henriques, Roberto & Hajkova, Veronika, 2014. "Visualising components of regional innovation systems using self-organizing maps—Evidence from European regions," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 197-214.
- Wagner Martin & Hlouskova Jaroslava, 2015. "Growth Regressions, Principal Components Augmented Regressions and Frequentist Model Averaging," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 642-662, December.
- Isaac K. Ofori, 2021.
"Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning,"
Working Papers of the African Governance and Development Institute.
21/044, African Governance and Development Institute..
- Ofori, Isaac Kwesi, 2021. "Catching The Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," EconStor Preprints 235482, ZBW - Leibniz Information Centre for Economics.
- Isaac K. Ofori, 2021. "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Working Papers 21/044, European Xtramile Centre of African Studies (EXCAS).
- Ofori, Isaac K, 2021. "Catching The Drivers of Inclusive Growth In Sub-Saharan Africa: An Application of Machine Learning," MPRA Paper 108622, University Library of Munich, Germany.
- Isaac K. Ofori, 2021. "Catching the Drivers of Inclusive Growth in Sub-Saharan Africa: An Application of Machine Learning," Research Africa Network Working Papers 21/044, Research Africa Network (RAN).
- Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
- Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2024.
"What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from the Lasso Regularization and Inferential Techniques,"
Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 144-179, March.
- Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2022. "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques," Working Papers 22/061, European Xtramile Centre of African Studies (EXCAS).
- Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2022. "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques," Working Papers of the African Governance and Development Institute. 22/061, African Governance and Development Institute..
- Ofori, Isaac K. & Quaidoo, Christopher & Ofori, Pamela E., 2021.
"What Drives Financial Sector Development in Africa? Insights from Machine Learning,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers 21/074, European Xtramile Centre of African Studies (EXCAS).
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Research Africa Network Working Papers 21/074, Research Africa Network (RAN).
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Working Papers of the African Governance and Development Institute. 21/074, African Governance and Development Institute..
- Jesus regstdpo-Cuaresma & Neil Foster & Robert Stehrer, 2011.
"Determinants of Regional Economic Growth by Quantile,"
Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 809-826.
- Jesús Crespo-Cuaresma & Neil Foster-McGregor & Robert Stehrer, 2009. "The Determinants of Regional Economic Growth by Quantile," wiiw Working Papers 54, The Vienna Institute for International Economic Studies, wiiw.
- Xu, Ning & Hong, Jian & Fisher, Timothy, 2016.
"Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso,"
MPRA Paper
71670, University Library of Munich, Germany.
- Ning Xu & Jian Hong & Timothy C. G. Fisher, 2016. "Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso," Papers 1606.00142, arXiv.org.
- Wagner, Martin & Hlouskova, Jaroslava, 2009. "Growth Regressions, Principal Components and Frequentist Model Averaging," Economics Series 236, Institute for Advanced Studies.
- Martin Wagner & Achim Zeileis, 2019.
"Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach,"
German Economic Review, Verein für Socialpolitik, vol. 20(1), pages 67-82, February.
- Wagner Martin & Zeileis Achim, 2019. "Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach," German Economic Review, De Gruyter, vol. 20(1), pages 67-82, February.
- Crespo Cuaresma, Jesus & Grün, Bettina & Hofmarcher, Paul & Humer, Stefan & Moser, Mathias, 2016. "Unveiling covariate inclusion structures in economic growth regressions using latent class analysis," European Economic Review, Elsevier, vol. 81(C), pages 189-202.
- Christoph Hanck, 2016. "I just ran two trillion regressions," Economics Bulletin, AccessEcon, vol. 36(4), pages 2037-2042.
- Piotr Wójcik & Bartłomiej Wieczorek, 2020. "We have just explained real convergence factors using machine learning," Working Papers 2020-38, Faculty of Economic Sciences, University of Warsaw.
- Martin Wagner & Achim Zeileis, 2012. "Heterogeneity of Regional Growth in the European Union," Working Papers 2012-20, Faculty of Economics and Statistics, Universität Innsbruck.
- Jaroslava Hlouskova & Martin Wagner, 2013. "The Determinants of Long-Run Economic Growth: A Conceptually and Computationally Simple Approach," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 445-492, December.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2007.
"On the distribution of the adaptive LASSO estimator,"
MPRA Paper
6913, University Library of Munich, Germany.
Cited by:
- Schneider Ulrike & Wagner Martin, 2012.
"Catching Growth Determinants with the Adaptive Lasso,"
German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
- Ulrike Schneider & Martin Wagner, 2009. "Catching Growth Determinants with the Adaptive Lasso," wiiw Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
- Schneider, Ulrike & Wagner, Martin, 2008. "Catching Growth Determinants with the Adaptive LASSO," Economics Series 232, Institute for Advanced Studies.
- Ulrike Schneider & Martin Wagner, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 71-85, February.
- Hui, Francis K.C. & Müller, Samuel & Welsh, A.H., 2020. "The LASSO on latent indices for regression modeling with ordinal categorical predictors," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014.
"On various confidence intervals post-model-selection,"
MPRA Paper
58326, University Library of Munich, Germany, revised 2014.
- Leeb, Hannes & Pötscher, Benedikt M. & Ewald, Karl, 2014. "On various confidence intervals post-model-selection," MPRA Paper 52858, University Library of Munich, Germany.
- Hui Xiao & Yiguo Sun, 2019. "On Tuning Parameter Selection in Model Selection and Model Averaging: A Monte Carlo Study," JRFM, MDPI, vol. 12(3), pages 1-16, June.
- Ruth M. Pfeiffer & Andrew Redd & Raymond J. Carroll, 2017. "On the impact of model selection on predictor identification and parameter inference," Computational Statistics, Springer, vol. 32(2), pages 667-690, June.
- Ulrike Schneider, 2016. "Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1412-1455, December.
- Leeb, Hannes & Pötscher, Benedikt M. & Kivaranovic, Danijel, 2018. "Comment on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin," MPRA Paper 90655, University Library of Munich, Germany.
- Bruce E. Hansen, 2016. "The Risk of James--Stein and Lasso Shrinkage," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1456-1470, December.
- Xianyi Wu & Xian Zhou, 2019. "On Hodges’ superefficiency and merits of oracle property in model selection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(5), pages 1093-1119, October.
- Audrino, Francesco & Camponovo, Lorenzo & Roth, Constantin, 2015. "Testing the lag structure of assets’ realized volatility dynamics," Economics Working Paper Series 1501, University of St. Gallen, School of Economics and Political Science.
- David Cheng & Abhishek Chakrabortty & Ashwin N. Ananthakrishnan & Tianxi Cai, 2020. "Estimating average treatment effects with a double‐index propensity score," Biometrics, The International Biometric Society, vol. 76(3), pages 767-777, September.
- Kun Chen & Kung-Sik Chan & Nils Chr. Stenseth, 2014. "Source-Sink Reconstruction Through Regularized Multicomponent Regression Analysis-With Application to Assessing Whether North Sea Cod Larvae Contributed to Local Fjord Cod in Skagerrak," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 560-573, June.
- Pötscher, Benedikt M. & Schneider, Ulrike, 2008. "Confidence sets based on penalized maximum likelihood estimators," MPRA Paper 9062, University Library of Munich, Germany.
- Gabriela Ciuperca, 2014. "Model selection by LASSO methods in a change-point model," Statistical Papers, Springer, vol. 55(2), pages 349-374, May.
- Schneider Ulrike & Wagner Martin, 2012.
"Catching Growth Determinants with the Adaptive Lasso,"
German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
Articles
- Ulrike Schneider & Martin Wagner, 2012.
"Catching Growth Determinants with the Adaptive Lasso,"
German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 71-85, February.
- Schneider Ulrike & Wagner Martin, 2012. "Catching Growth Determinants with the Adaptive Lasso," German Economic Review, De Gruyter, vol. 13(1), pages 71-85, February.
See citations under working paper version above.- Schneider, Ulrike & Wagner, Martin, 2008. "Catching Growth Determinants with the Adaptive LASSO," Economics Series 232, Institute for Advanced Studies.
- Ulrike Schneider & Martin Wagner, 2009. "Catching Growth Determinants with the Adaptive Lasso," wiiw Working Papers 55, The Vienna Institute for International Economic Studies, wiiw.
- Ulrike Schneider, 2011.
"A tabu search tutorial based on a real-world scheduling problem,"
Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 467-493, December.
Cited by:
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-ECM: Econometrics (5) 2008-02-02 2008-06-21 2008-12-01 2010-02-05 2011-07-13. Author is listed
- NEP-CMP: Computational Economics (1) 2010-02-05
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