# Publications

- Efstathia Bura, Bing Li, Lexin Li, Christopher Nachtsheim, Daniel Pena, Claude Setodji, Robert E. Weiss (2021). A Conversation with Dennis Cook. Statistical Science, Vol. 36, No. 2, 328-337.
- Trindade, O.S., Berisha, T., Svoboda, P., Bura, E. and Mecklenbräucker, C. F. (2020). Assessment of Treatment Influence in Mobile Network Coverage on board High- Speed Trains.
*IEEE Access*, v. 8, 162945-162960. doi: 10.1109/ACCESS.2020.3021647 - Pfeiffer. R., Kapla, D. B. and Bura, E. (2020). Assessment of Treatment Influence in Mobile Network Coverage on board High- Speed Trains.
*International Journal of Data Science and Analytics*, 1-16. doi: 10.1007/s41060-020-00228-y. - Pfeiffer, R., Wang, W. and Bura, E. (2019). Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regression with Matrix Valued Predictors. In Proceedings of the 2019
*IEEE International Conference on Data Science and Advanced Analytics (DSAA)*, Washington, DC, USA, 2019, pp. 135-144, doi: 10.1109/DSAA.201900028. - Bura, E., Duarte, S., Forzani, L., Smucler, E., Sued, M. (2018). Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models.
*STATISTICS*,**52**(2018), 5, 1005-1024. - Barbarino, A. and Bura, E. (2017). A Unified Framework for Dimension Reduction in Forecasting. Finance and Economics Discussion Series 2017-004,
*FED-Journal*, Washington: Board of Governors of the Federal Reserve System,**004**(2017), 1-69. - Tomassi, D., Forzani, L., Bura, E. and Pfeiffer, R. (2016). Sufficient dimension reduction for censored predictors.
*Biometrics*,**73**(2017), 220-231. - Barbarino, A. and Bura, E. (2015). Forecasting with sufficient dimension reductions. Finance and Economics Discussion Series 2015-074. Washington: Board of Governors of the Federal Reserve System, http://dx.doi.org/10.17016/FEDS.2015.074.
- Bura, E., Duarte, S. and Forzani, L. (2015). Sufficient reductions in regressions with exponential family inverse predictors. To appear in the
*Journal of the American Statistical Association*. - Bura, E. and Forzani, L. (2015). Sufficient reductions in regressions with elliptically contoured inverse predictors.
*Journal of the American Statistical Association*,**110(509)**, 420-434. - Bajeux-Besnainou, I., Bandara, W. and Bura, E. (2012). A Krylov Subspace Approach to Large Portfolio Optimization.
*Journal of Economic Dynamics and Control*,**36**(11), 1688-1699. (author order is alphabetical) - Pfeiffer, R., Forzani, L. and Bura, E. (2012). Sufficient Dimension Reduction for Longitudinally Measured Predictors.
*Statistics in Medicine*, Special Issue: Biomarker Working Group: Issues in the Design and Analysis of Epidemiological Studies with Biomarkers,**31**(22), 2414-2427. doi: 10.1002/sim.4437. - Gastwirth, J. L., Bura, E., and Miao, W. (2011). Some important statistical issues courts should consider in their assessment of statistical analyses submitted in class certification motions: implications for Dukes v. Wal-mart.
*Law, Probability and Risk*,**10**, 225-263. (special issue devoted to papers given at the 2011 conference on Quantitative Aspects of Justice and Proportionality edited by R. Bengez, S. Brewer, G. Sartori and V. Walker.) - Bura, E., Gastwirth, J. L. and Hikawa, H. (2011). The Use of Peters-Belson Regression in Legal Cases. To appear in
*Nonparametric Statistical Methods and Related Topics*A Festscrift in Honor of Professor P.K. Bhattacharya on the Occasion of his 80th Birthday. Edited by: Jiming Jiang, George G. Roussas, Francisco J. Samaniego. World Scientific Publ. Co.(WS). - Bura, E. and Yang, J. (2011). Dimension Estimation in Sufficient Dimension Reduction: A Unifying Approach.
*Journal of Multivariate Analysis*,**102**, 130-142. - Bura, E. and Gastwirth, J. L. (2010). Regression Analysis and Strengthening the SEC’s Efforts to Regulate Mutual Funds.
*Banking & Financial Services Policy Report*, 29(6), 18-26. - Hikawa, H., Bura, E. and Gastwirth, J. L. (2009). Local Linear Logistic Peters-Belson Regression and its application in employment discrimination cases.
*Statistics and its Interface,*3, 125-144. - Bura, E. and Gastwirth, J. L. (2009). How accurate are the power calculations relied upon the SEC?
*Law, Probability and Risk*, 8, 277-288; doi: 10.1093/lpr/mgp003. - Bura, E., Zhmurov, A. and Barsegov, V. (2009). Density estimation methods for protein unfolding and unbinding data.
*The Journal of Chemical Physics,*130, 15-102. This article was selected for the January 15, 2009 issue of the Virtual Journal of Biological Physics Research. - Pfeiffer, R. and Bura, E. (2008). A model free approach to combining diagnostic markers.
*Biometrical Journal,*50, 558-570. - Bura, E. and Pfeiffer, R. (2008). On the distribution of the left singular vectors of a random matrix and its applications,
*Statistics and Probability Letters*58, 2275-2280. - Bura, E., Klimov, D. K. and Barsegov, V. (2008). Analyzing Forced Unfolding of Protein Tandems by Ordered Variates: 2. Dependent Unfolding Times,
*Biophysical Journal*, 94, 2516-2528. - Bura, E., Klimov, D.K. and Barsegov, V. (2007). Analyzing Forced Unfolding of Protein Tandems by Ordered Variates: 1. Independent Unfolding Times,
*Biophysical Journal ,***23**, 1100-1115. - Bura, E. and Gastwirth, G.L. (2006).Assessing the Fairness of a Firm’s Allocation of Shares in Initial Public Offerings: Adapting a Measure from Biostatistics,
*Chance*(2006) ,**19(2)**, 32-37. - Yin, X. and Bura, E. (2006). Moment Based Dimension Reduction for Multivariate Response Regression,
*Journal of Statistical Planning and Inference ,***136**, 3675-3688. - Gastwirth, J.L., Modarres, R. and Bura, E. (2005).The Use of the Lorenz Curve, Gini Index and Related Measures of Relative Inequality and Uniformity in Securities Law,
*METRON*(2005) ,**vol. LXIII**, 451-469. - Gastwirth, J. L., Bura, E. and Modarres, R. (2005).Statistical methods for assessing the fairness of the allocation of shares in initial public offerings,
*Law, Probability and Risk ,***4**, 143-158. - Hall, P. and Bura, E. (2004). Nonparametric Methods of Inference for Finite-State, Inhomogeneous Markov Processes,
*Bernoulli*(2004),**10**(5), 919-938. - Bura, E. and Pfeiffer, R.M. (2003). Graphical methods for class prediction using dimension reduction techniques on DNA microarray data,
*Bioninformatics*,**19**, 1252-1258. - Bura, E. and Cook, R.D. (2003). Rank Estimation in Reduced-Rank Regression,
*Journal of Multivariate Analysis*,**87**, 159-176. - Bura, E. and Cook, R.D. (2003). Assessing Corrections to the Weighted Chi-Squared Test for Dimension,
*Communications in Statistics: Simulation and Computation*,**32**, 127-146. - Bura, E. (2003). Using Linear Smoothers to Assess the Structural Dimension of Regressions,
*Statistica**Sinica*,**13**, 143-162. - Pfeiffer, R.M., Bura, E., Smith, A. and Reiter, J.L. (2002).Two Approaches to Mutation Detection Based on Functional Data,
*Statistics in Medicine*,**21**, 3447-3464.- You can download the figures by clicking on the following , , ,

- Bura, E. and Cook, R.D. (2001). Estimating the Structural Dimension of Regressions via Parametric Inverse Regression,
*Journal of the Royal Statistical Society, Series B*,**63**, 393-410. - Bura, E. and Cook, R.D. (2001). Extending SIR: The Weighted Chi-Square Test,
*Journal of the American Statistical Association ,***96**, 996-1003. - Bura, E. and Gastwirth, J.L. (2001). The Binary Regression Quantile Plot: Assessing the Importance of Predictors in Binary Regression Visually,
*Biometrical Journal*,**43**, 5-21. - Hayek, L.-A. and Bura, E. (2001). On the Ends of the Taxon Range Problem,
*In Pattern from Process in the Fossil Record*, Jackson, J.B.C., Lidgard, S. and McKinney, F.K. (eds), 2001. Chicago University Press. - Bura, E. (1997). Dimension Reduction via Parametric Regression, In Y. Dodge (ed.),
*L1-Statistical Procedures and Related Topics*, Institute of Mathematical Statistics Lecture Notes-Monograph Series (1997), v. 31, pp. 215-228. Hayward, CA: Institute of Mathematical Statistics. - Cook, R.D. and Bura, E. (1997). Testing the Adequacy of Regression Functions,
*Biometrika*84, 949-956.