RICHARD NICKL
Postdoctoral Fellow
Department of Mathematics
University of Connecticut
Office: Math-Science Building M-416
E-mail: nickl@math.uconn.edu
Phone: (860) 486-8388
Office Hours: MW 8:00-9:00 am, or by appointment.

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COURSES (Spring 2008)

Math 232 Introduction to Stochastic Processes  (MWF 12-12:50 pm)
Math 273 Analysis (MWF 11-11:50 am)

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RESEARCH

- Probability and asymptotic statistics in infinite dimensions
- Empirical processes


Publications:

    [1] Bracketing Metric Entropy Rates and Empirical Central Limit Theorems for Function Classes of Besov- and Sobolev-Type. (with B.M. Pötscher) Journal of Theoretical Probability 20 (2007), 177-199.  [Download]
   
    [2] Donsker-Type Theorems for Nonparametric Maximum Likelihood Estimators. Probability Theory and Related Fields 138 (2007), 411-449.  [Download].
   
    [3] Empirical and Gaussian Processes on Besov classes. In: High Dimensional Probability IV (editors: E. Giné, V. Kolchinskii, W. Li, J. Zinn). IMS Lecture Notes 51 (2006), 185-195.   [Download]
 
    [4] Uniform Central Limit Theorems for Kernel Density Estimators. (with E. Giné).  Probability Theory and Related Fields, forthcoming. [Download].

    [5] A Simple Adaptive Estimator of the Integrated Square of a Density. (with E. Giné). Bernoulli, forthcoming. [Download]
 
    [6] An Exponential Inequality for the Distribution Function of the Kernel Density Estimator, with Applications to Adaptive Estimation. (with E. Giné). Probability Theory and Related Fields, forthcoming. [Download]


Corrections: to paper [3]


Preprints:

    [7] On Convergence and Convolutions of Random Signed measures.
   
    [8] Uniform Central Limit Theorems for Density Estimators.
  
    [9] Uniform Limit Theorems for Wavelet Density Estimators. (with E. Giné).

    [10] Uniform Central Limit Theorems for the Grenander Estimator.


Curriculum Vitae

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Link: Some recent pictures from my trips to the Alps in Austria.