Presentations

  • 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