Kleiber, W., Raftery, A. E. and Gneiting, T. (2011). Geostatistical model averaging for locally calibrated probabilistic quantitative precipitation forecasting. Journal of the American Statistical Association, in press.

Gneiting, T., Sevcikova, H. and Percival, D. B. (2011). Estimators of fractal dimension: Assessing the smoothness of time series and spatial data. Statistical Science, in press.

Kleiber, W., Raftery, A. E., Baars, J., Gneiting, T., Mass, C. F. and Grimit, E. P. (2011). Locally calibrated probabilistic temperature forecasting using geostatistical model averaging and local Bayesian model averaging. Monthly Weather Review, in press.

Fraley, C., Raftery, A., Gneiting, T., Sloughter, M. and Berrocal,
V. (2011). Probabilistic
weather forecasting in R. R Journal, **3/1**, 55-63.

Gneiting, T. (2011). Quantiles
as optimal point forecasts. International Journal of
Forecasting, **27**, 197-207.

Gneiting, T. (2011). Making and evaluating point forecasts.
Journal of the American Statistical Association, **106**, 746-762.

Gneiting, T. and Ranjan, R. (2011). Comparing density
forecasts using threshold and quantile weighted proper scoring
rules. Journal of Business and Economic
Statistics, **29**, 411-422.

Bao, L., Gneiting, T., Grimit, E. P., Guttorp, P. and Raftery,
A. E. (2010). Bias
correction and Bayesian model averaging for ensemble forecasts of
surface wind direction. Monthly Weather Review,
**138**, 1811-1821.

Berrocal, V., Raftery, A. E., Gneiting, T. and Steed, R. (2010). Probabilistic
weather forecasting for winter road maintenance. Journal of the
American Statistical Association, **105**, 522-537.

Fraley, C., Raftery, A. E. and Gneiting, T. (2010). Calibrating
multi-model forecast ensembles with exchangeable and missing members
using Bayesian model averaging. Monthly Weather
Review, **138**, 190-202.

Gneiting, T. and Guttorp, P. (2010). Continuous-parameter stochastic process theory. In Handbook of Spatial Statistics, Gelfand, A. E., Diggle, P., Fuentes, M. and Guttorp, P., editors, Chapman & Hall/CRC, pp. 17-28.

Gneiting, T. and Guttorp, P. (2010). Continuous-parameter spatio-temporal processes. In Handbook of Spatial Statistics, Gelfand, A. E., Diggle, P., Fuentes, M. and Guttorp, P., editors, Chapman & Hall/CRC, pp. 427-436.

Gneiting, T., Kleiber, W. and Schlather, M. (2010). Matérn
cross-covariance functions for multivariate random fields.
Journal of the American Statistical Association,
**105**, 1167-1177.

Ranjan, R. and Gneiting, T. (2010). Combining
probability forecasts. Journal of the Royal
Statistical Society Series B: Statistical Methodology,
**32**, 71-91.

Sloughter, J. M., Gneiting, T. and Raftery, A. E. (2010). Probabilistic
wind speed forecasting using ensembles and Bayesian model
averaging. Journal of the American Statistical
Association, **105** 25-35.

Thorarinsdottir, T. L. and Gneiting, T. (2010). Probabilistic
forecasts of wind speed: Ensemble model output statistics using
heteroskedastic censored regression. Journal of the Royal
Statistical Society Series A: Statistics in Society,
**173**, 371-388.

Czado, C., Gneiting, T. and Held, L. (2009).
Predictive
model assessment for count data. Biometrics,
**65** 1254-1261.

Berrocal, V. J., Raftery, A. E. and Gneiting, T. (2008).
Probabilistic
quantitative precipitation field forecasting using a two-stage
spatial model. Annals of
Applied Statistics, **2**, 1170-1193.

Gneiting, T. (2008). Editorial:
Probabilistic forecasting. Journal of the Royal Statistical
Society Series A: Statistics in Society, **171**,
319-321.

Gneiting, T., Stanberry, L. I., Grimit, E. P., Held, L. and Johnson,
N. A. (2008). Assessing
probabilistic forecasts of multivariate quantities, with applications
to ensemble predictions of surface winds. Test,
**17**, 211-235.

Gneiting, T., Stanberry, L. I., Grimit, E. P., Held, L. and Johnson,
N. A. (2008).
Rejoinder on: Assessing probabilistic forecasts of multivariate
quantities, with applications to ensemble predictions of surface
winds. Test, **17**, 256-264.

Percival, D. B., Rothrock, D. A., Thorndike, A. S. and Gneiting,
T. (2008). The variance of mean
sea-ice thickness: Effect of long-range dependence. Journal
of Geophysical Research,
**113**, C01004, doi:10.1029/2007JC004391.

Berrocal, V. J., Raftery, A. E. and Gneiting, T. (2007). Combining
spatial statistical and ensemble information in probabilistic weather
forecasts. Monthly Weather Review, **135**,
1386-1402.

Gneiting, T. and Raftery, A. E. (2007). Strictly
proper scoring rules, prediction, and estimation. Journal of
the American Statistical Association, **102**,
359-378.

Gneiting, T., Balabdaoui, F. and Raftery, A. E. (2007). Probabilistic
forecasts, calibration and sharpness. Journal of the Royal
Statistical Society Series B: Statistical Methodology,
**69**, 243-268.

Gneiting, T., Genton, M. G. and Guttorp, P. (2007). Geostatistical space-time models, stationarity, separability and full symmetry. In Finkenstadt, B., Held, L. and Isham, V. (eds.), Statistical Methods for Spatio-Temporal Systems, Chapman & Hall/CRC, Boca Raton, pp. 151-175.

Sloughter, J. M., Raftery, A. E., Gneiting, T. and Fraley, C. (2007). Probabilistic
quantitative precipitation forecasting using Bayesian model
averaging. Monthly Weather Review, **135**,
3209-3220.

Gneiting, T., Larson, K., Westrick, K, Genton, M. G. and Aldrich,
E. (2006). Calibrated
probabilistic forecasting at the Stateline wind energy center: The
regime-switching space-time method. Journal of the
American Statistical Association, **101**,
968-979.

Gneiting, T., Sevcikova, H., Percival, D. B., Schlather, M. and Jiang,
Y. (2006). Fast
and exact simulation of large Gaussian lattice systems in R²:
Exploring the limits. Journal of Computational and
Graphical Statistics, **15**, 483-501.

Grimit, E. P., Gneiting, T., Berrocal, V. J. and Johnson, N. A. (2006).
The
continuous ranked probability score for circular variables and its
application to mesoscale forecast ensemble verification.
Quarterly Journal of the Royal Meteorological Society,
**132**, 2925-2942.

Guttorp, P. and Gneiting, T. (2006). Studies in the
history of probability and statistics XLIX: On the Matérn correlation
family. Biometrika, **93**, 989-995.

Holzmann, H., Munk, A. and Gneiting,
T. (2006). Identifiability
of finite mixtures of elliptical distributions. Scandinavian
Journal of Statistics, **33**, 753-763.

Schlather, M. and Gneiting, T. (2006). Local
approximation of variograms by covariance functions.
Statistics & Probability Letters, **76**,
1303-1304.

Gneiting, T. and Raftery, A. E. (2005). Weather forecasting with
ensemble methods. Science, **310**, 248-249.

Gneiting, T., Raftery, A. E., Westveld, A. H. and Goldman, T. (2005).
Calibrated
probabilistic forecasting using ensemble model output statistics and
minimum CRPS estimation. Monthly Weather Review,
**133**, 1098-1118.

Raftery, A. E., Gneiting, T., Balabdaoui, F. and Polakowski,
M. (2005). Using
Bayesian model averaging to calibrate forecast ensembles.
Monthly Weather Review, **133**, 1155-1174.

Ehm, W., Gneiting, T. and Richards, D. (2004).
Convolution
roots of radial positive definite functions with compact support.
Transactions of the American Mathematical Society,
**356**, 4655-4685.

Gel, Y., Raftery, A. E. and Gneiting, T. (2004). Calibrated
probabilistic mesoscale weather field forecasting: The geostatistical
output perturbation (GOP) method. Journal of the American
Statistical Association, **99**, 575-583.

Gel, Y., Raftery, A. E., Gneiting, T. and Berrocal, V. J. (2004). Rejoinder.
Journal of the American Statistical Association,
**99**, 588-590.

Gneiting, T. and Schlather,
M. (2004). Stochastic
models that separate fractal dimension and the Hurst effect.
SIAM Review, **46**, 269-282.

Atmanspacher, H., Ehm, W. and Gneiting, T. (2003). Necessary
and sufficient conditions for the quantum Zeno and anti-Zeno
effect. Journal of Physics A: Mathematical and
General, **36**, 9899-9905.

Ehm, W., Genton, M. G. and Gneiting, T. (2003).
Stationary
covariances associated with exponentially convex functions.
Bernoulli, **9**, 607-615,
**10**, 375.

Mitra, S., Gneiting, T. and Sasvári, Z. (2003). Polynomial
covariance functions on intervals. Bernoulli,
**9**, 229-241.

Gneiting, T. (2002).
Compactly supported correlation
functions.
Journal of Multivariate Analysis, **83**, 493-508.

Gneiting, T. (2002). Nonseparable,
stationary covariance functions for space-time data. Journal
of the American Statistical Association, **97**,
590-600.

Gneiting, T. and Schlather, M. (2002). Space-time covariance models. In El-Shaarawi, A. H. and Piegorsch, W. W. (eds.), Encyclopedia of Environmetrics, Vol. 4. John Wiley & Sons, Chichester, pp. 2041-2045.

Dreier, I., Ehm, W., Gneiting, T. and Richards, D. (2001). Improved
bounds for Laue's constant and multivariate extensions.
Mathematische Nachrichten, **228**, 109-122.

Gneiting, T. (2001).
Curiosities of characteristic functions. Expositiones
Mathematicae, **19**, 359-363.

Gneiting, T. (2001). Criteria
of Pólya type for radial positive definite functions.
Proceedings of the American Mathematical Society,
**129**, 2309-2318.

Gneiting, T., Konis, K. and Richards, D. (2001). Experimental
approaches to Kuttner's problem. Experimental
Mathematics, **10**, 117-124.

Gneiting, T., Sasvári, Z. and Schlather, M. (2001). Analogies
and correspondences between variograms and covariance functions.
Advances in Applied Probability, **33**,
617-630.

Gneiting, T. (2000). Addendum
to `Isotropic correlation functions on *d*-dimensional
balls'. Advances in Applied Probability,
**32**, 960-961.

Gneiting,
T. (2000). Power-law
correlations, related models for long-range dependence, and their
simulation. Journal of Applied Probability,
**37**, 1104-1109.

Gneiting, T. (2000). Kuttner's
problem and a Pólya type criterion for characteristic
functions. Proceedings of the American Mathematical
Society, **128**, 1721-1728.

Ehm, W., Gneiting, T. and Richards, D. (1999).
On the uncertainty relation for positive-definite probability densities, II.
Statistics, **33**, 267-286.

Gneiting, T. (1999). Isotropic
correlation functions on *d*-dimensional balls.
Advances in Applied Probability, **31**,
625-631.

Gneiting, T. (1999).
A Pólya type criterion for radial characteristic functions in
R².
Expositiones Mathematicae, **17**, 181-183.

Gneiting, T. (1999).
On the derivatives of radial
positive definite functions.
Journal of Mathematical Analysis and Applications,
**236**, 86-93.

Gneiting, T. (1999). Radial
positive definite functions generated by Euclid's
hat. Journal of Multivariate
Analysis, **69**, 88-119.

Gneiting, T. (1999). The
correlation bias for two-dimensional simulations by turning bands.
Mathematical Geology, **31**, 195-211.

Gneiting, T. (1999).
Decomposition theorems for a-symmetric positive definite
functions.
Mathematische Nachrichten, **208**, 117-120.

Gneiting, T. (1999). Correlation
functions for atmospheric data analysis. Quarterly Journal
of the Royal Meteorological Society, **125**,
2449-2464.

Gneiting, T. and Sasvári, Z. (1999). The
characterization problem for isotropic covariance functions.
Mathematical Geology, **31**, 105-111.

Gneiting, T. (1998).
On the Bernstein-Hausdorff-Widder conditions for completely
monotone functions.
Expositiones Mathematicae, **16**, 181-183.

Gneiting, T. (1998).
On a-symmetric
multivariate characteristic functions.
Journal of Multivariate Analysis, **64**, 131-147.

Gneiting, T. (1998). Closed
form solutions of the two-dimensional turning bands equation.
Mathematical Geology, **30**, 379-390.

Gneiting, T. (1998).
On the uncertainty relation for positive definite probability densities.
Statistics, **31**, 83-88.

Gneiting, T. (1998). Simple
tests for the validity of correlation function models on the
circle. Statistics & Probability Letters,
**39**, 119-122.

Gneiting, T. (1997). Normal
scale mixtures and dual probability densities. Journal of
Statistical Computation and Simulation, **59**,
375-384.

Gneiting, T. (1996).
Comment
on `A simple and efficient space domain implementation of the turning
bands method' by C. R. Dietrich. Water Resources
Research, **32**, 3391-3396.

*Last modified 7 August 2011*