Feb. 24, 2016, Partial Consistency with Sparse Incidental Parameters, Johns Hopkins University, Baltimore, MD, USA
Feb. 09, 2016, Partial Consistency with Sparse Incidental Parameters, Department of Statistics, University of California, Riverside, CA, USA
Dec. 14, 2015, Functional Local Polynomial Regression, The 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015), London, UK
Feb. 26, 2013, Partial Consistency with Sparse Incidental Parameters, Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China
Feb. 14, 2013, Partial Consistency with Sparse Incidental Parameters, Department of Statistics, Virginia Tech, VA, USA
Feb. 07, 2013, Partial Consistency with Sparse Incidental Parameters, Department of Statistics, University of Illinois at Urbana-Champaign, IL, USA
Jan. 28, 2013, Partial Consistency with Sparse Incidental Parameters, Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada
Nov 30, 2012, Partial Consistency with Sparse Incidental Parameters, Department of Operations Research and Financial Engineering, Princeton University, NJ, USA
Mar. 28, 2011, Asymptotics for Current Status Data under Varying Observation Time Sparsity, Department of Statistics, University of Illinois at Urbana-Champaign, IL, USA
Aug. 02, 2010, A Two-Stage Hybrid Procedure For Estimating An Inverse Regression Function, Finalists of Section on Nonparametrics Student Paper Competition, Section on Nonparametric Statistics, JSM 2010, Vancouver, Canada
Mar. 27, 2010, A Two-Stage Hybrid Procedure For Estimating An Inverse Regression Function, Third Midwest Statistics Research Colloquium, University of Chicago, Chicago, IL, USA
Aug. 06, 2009, A Two-Stage Hybrid Procedure For Estimating An Inverse Regression Function, Inference in Nonstandard Problems, Section on Nonparametric Statistics, JSM 2009, Washington DC, USA
Feb. 08, 2008, Nonparametric Two-Stage Designs for Estimating Quantiles of Monotone Functions, Michigan Student Symposium for Interdisciplinary Statistical Sciences, University of Michigan, Ann Arbor, MI, USA