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- Bloomfield, P., Brillinger, D. R., Nychka, D. W. and
Stolarski, R. (1988). ``Appendix 1 Statistical Approaches to Ozone
Trend Detection.'' Present State of Knowledge of the Upper
Atmosphere 1988: An Assessment Report NASA Reference Publication
1208, ed. Watson, R. T., NASA.
- Bloomfield, P., Brillinger, D. R., Nychka, D. W. and
Stolarski, R. (1988). ``Appendix 1 Statistical Issues.'' Report of the NASA-WMO Ozone Trend Panel, ed. Watson, R. T., NASA.
- Nychka, D. (1994). Discussion to ``Epidemics: Models and
Data.'' Journal of the Royal Statistical Society Series B.
- Handcock, M., Nychka, D. and Meier, K. (1994).
Discussion to ``Kriging and Splines: An Empirical Comparison of Their
Predictive Performance.'' Journal of the American Statistical
Association, 89, 401-403.
- Nychka, D. and Cummins, D. (1996). Comment on:
Eilers, P. and Marx, B.
``Flexible Smoothing with B-splines and Penalties.'' Statistical Science, 11, 104-105.
- Bailey, B., Ellner S. and Nychka D. (1997). ``Asymptotics and
Applications of Local Lyapunov Exponents.'' Proceedings for
the Fields/CRM Workshop: Nonlinear Dynamics and Time Series:
Building a Bridge Between the Natural and Statistical Sciences,
American Mathematical Society, 115-133.
- Hu, F., Hall, A. R. and Nychka, D. (2000). ``A Nonparametric
Approach to
Stochastic Discount Factor Estimation.'' Applying Kernel and
Nonparametric Estimation to Economic Topics, eds. Fomby, T. and Hill,
R.C.,
JAI Press Inc., Stamford Connecticut, 155-178.
- Nychka, D. (2000). ``Spatial Process Estimates as Smoothers.''
Smoothing and Regression. Approaches, Computation and Application, ed.
Schimek, M. G., Wiley, New York, 393-424.
- Nychka, D. and Tebaldi, C. (2002), Comment on `Calculation of Average,
Uncertainty Range and Reliability of Regional Climate Changes from AOGCM Simulations
via the ``Reliability Ensemble Averaging'' (REA) method' Journal of Climate,
16, 883-884.
- Tebaldi, C. and Nychka, D. (2004) Invited discussion to ``Calibrated
probabilistic mesoscale weather field forecasting: the geostatistical
output perturbation (GOP) method''. Journal of the American
Statistical Association. 99 583-585.
- Gilleland, E., D. Nychka and U. Schneider (2006). ``Spatial
models for the distribution of extremes.'' In Applications of
Computational Statistics in the Environmental Sciences: Hierarchical
Bayes and MCMC Methods ed. J.S. Clark and A. Gelfand, Oxford
University Press.
Next: Books
Up: Douglas W. Nychka
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Doug Nychka
2009-03-03