P. Naveau, A. Ribes, F. Zwiers, A. Hannart, A. Tuel and P. Yiou. Revising return periods for record events in a climate event attribution context. Journal of Climate, DOI : 10.1175/JCLI-D- 16-0752.1, 2018.
Je?ze?quel A., J. Cattiaux, P. Naveau, S. Radanovics, A. Ribes, R. Vautard, M. Vrac and P. Yiou. Trends of atmospheric circulation during singular hot days in Europe. Environ. Res. Lett., https ://doi.org/10.1088/1748-9326/aab5da, 2018.
Hannart, A. and P. Naveau. Probabilities of Causation of Climate Changes. Journal of Climate, DOI : 10.1175/JCLI-D-17-0304.1, 2018.
Guin, O., P. Naveau and J.J. Boreux Extracting a Common Signal in Tree Ring Widths with a Semi-parametric Bayesian Hierarchical Model. Journal of Agricultural, Biological, and Environmental Statistics, https ://doi.org/10.1007/s13253-018-0330-0 2018.
2017
Marcon G., S. A. Padoan, P. Naveau, P. Muliere and J. Segers Multivariate Nonparametric Estimation of the Pickands Dependence Function using Bernstein Polynomials. Journal of Statistical Planning and Inference, 183, 1–17, 2017, (arXivPDF).
Dongik Jang, Hee-Seok Oh and P. Naveau. Identifying Local Smoothness for Spatially Inhomogeneous Functions. Comput Stat., doi :10.1007/s00180-016-0694-y, 2017.
Zamo M. and P. Naveau. Estimation of the Continuous Ranked Probability Score with Limited Information. Mathematical Geosciences, doi :10.1007/s11004-017-9709-7, 2017.
Mhalla L., V. Chavez-Demoulin, and P. Naveau. Non Linear Models for Extremal Dependence. Journal of Multivariate Analysis, Volume 159, April 2017, Pages 49–66, 2017.
Tuel A., P. Naveau and C. Ammann. Skillful prediction of multidecadal variations in volcanic forcing. Geophys. Res. Lett., 44, 2868–2874, doi:10.1002/2016GL072234, 2017.
Yiou P. , A. Je?ze?quel, P. Naveau, F. E. L. Otto, R. Vautard, and M. Vrac.. A statistical framework for conditional extreme event attribution. Adv. Stat. Clim. Meteorol. Oceanogr., 3, 17-31, doi :10.5194/ascmo-3-17-2017, 2017.
Carreau, J., P. Naveau, and L. Neppel (2017), Partitioning into hazard subregions for regional peaks-over-threshold modeling of heavy precipitation, Water Resour. Res., 53,4407–4426, doi:10.1002/2017WR020758
Marcon G., P. Naveau and S. Padoan. A semi-parametric stochastic generator for bivariate extreme events. STAT, DOI : 10.1002/sta4.145, Volume 6, Issue 1, Pages : 184–201, 2017. STAT, pdf
2016
Hannart A., J. Pearl, F. E. L. Otto, P. Naveau and M. Ghil. Causal counterfactual theory for the attribution of weather and climate-related events. BAMS, JANUARY | 99-110, 2016.
Hannart A., A. Carrassi, M. Bocquet, M. Ghil, P. Naveau, M. Pulido, J. Ruiz, P. Tandeo. DADA : Data Assimilation for the Detection and Attribution of Weather and Climate-related Events. Climatic Change, in press, 2016.
Ribes A., F. Zwiers, J.M. Azais, P. Naveau. A new statistical approach to climate change detection and attribution. Climate Dynamics, DOI : 10.1175/MWR-D-15-0260.1, 2016.
Taillardat M., O. Mestre, M. Zamo, P. Naveau. Calibrated Ensemble Forecasts using Quantile Regression Forests and Ensemble Model Output Statistics. Monthly Weather Review, DOI 10.1007/s00382-016-3079-6, 2016.
P. Naveau, R. Huser, P. Ribereau and A. Hannart. Modelling jointly low, moderate and heavy rainfall intensities without a threshold selection. Water Resources Research, 10.1002/2015WR018552, 2016.
Kojadinovic I. and P. Naveau. Detecting distributional changes in samples of independent block maxima using probability weighted moments Extremes. In press, 2016. (arXivPDF)
Baker, A. H., Hammerling, D. M., Mickelson, S. A., Xu, H., Stolpe, M. B., Naveau, P., Sanderson, B., Ebert-Uphoff, I., Samarasinghe, S., De Simone, F., Carbone, F., Gencarelli, C. N., Dennis, J. M., Kay, J. E., and Lindstrom, P.: Evaluating lossy data compression on climate simulation data within a large ensemble, Geosci. Model Dev., 9, 4381-4403, doi:10.5194/gmd-9-4381-2016, 2016.
2015
Koch E. and P. Naveau. A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates. Advances in Water Resources 78 (2015) 145–154, 2015. arXiv PDF
Toreti A. and P. Naveau. On the evaluation of climate model simulated precipitation extremes. Environmental Research Letters, 10 (2015) 014012, 2015.
Ailliot P., D. Allard , V. Monbet and P. Naveau. Stochastic weather generators : an overview of weather type models. Journal de la SocieÌteÌ Française de Statistique, Vol. 156 No. 1 101-113 http://www.sfds.asso.fr/journal
Sielenou P., Eckert N. and P. Naveau. A limiting distribution for maxima of discrete stationary triangular arrays with an application to risk due to avalanches. Extremes, DOI 10.1007/s10687- 015-0234-0, 2015
Bador, M., P. Naveau, E. Gilleland, M. Castellà, T. Arivelo, Spatial clustering of summer temperature maxima from the CNRM-CM5 climate model ensembles & E-OBS over Europe. Weather and Climate Extremes (2015), http://dx.doi.org/10.1016/j.wace.2015.05.003i
2014
Hannart A. and P. Naveau. Estimating high dimensional covariance matrices: a new look at the Gaussian conjugate framework. 131, 149-162, 2014..
Hannart, A., A. Ribes, and P. Naveau (2014), Optimal fingerprinting under multiple sources of uncertainty, Geophys. Res. Lett., 41, 1261–1268, doi:10.1002/2013GL058653.
Hannart, A., Mestre, O. and Naveau, P. (2014), An automatized homogenization procedure via pairwise comparisons with application to Argentinean temperature series. Int. J. Climatol.. doi: 10.1002/joc.3925
RibereauP, Masiello E. and P. Naveau. Skew Generalized Extreme Value Distribution: Probability Weighted Moments Estimation and Application to Block Maxima Procedure (to appear in Communications in Statistics – Theory and Methods).
P. Naveau, A. Toreti, I. Smith and E. Xoplaki.. A fast non-parametric spatio-temporal regression scheme for Pareto distributed heavy precipitation. Water Resources Research. DOI: 10.1002/2014WR015431, 2014.
Naveau, P., Guillou, A. and Rietsch, T. (2014), A non-parametric entropy-based approach to detect changes in climate extremes. Journal of the Royal Statistical Society: Series B (Statistical Methodology). doi: 10.1111/rssb.12058
Sabourin, A. , Naveau, P. Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization . Computational Statistics & Data Analysis, Volume 71, March 2014, Pages 542-567.SabourinNaveau12_3.pdf
Guillou .A, Naveau P., You A., A folding methodology for multivariate extremes: estimation of the spectral probability measure and actuarial applications (Scandinavian Actuarial Journal, http://dx.doi.org/10.1080/03461238.2013.864326 In press).
T. Rietsch, P. Naveau, N. Gilardi and A. Guillou, Network design for heavy rainfall analysis, Journal of Geophysical Research: Atmospheres, DOI: 10.1002/2013JD020867
A. Guillou, P. Naveau, A. Schorgen, Madogram and asymptotic independence among maxima (REVSTAT- Volume 12, Number 2, June 2014) GuillouNaveauSchorgen13.pdf.
2013
Kallache M., Naveau P. and Vrac. M. Spatial assessment of precipitation deficits in the Duero basin (central Spain) with multivariate extreme value statistics, Water Research Resources (Volume 49, Issue 10, October 2013, Pages: 6716–6730).
Kallache13.pdf
Andrea Toreti, Philippe Naveau, Matteo Zampieri, Anne Schindler, Enrico Scoccimarro, Elena Xoplaki, Henk A. Dijkstra, Silvio Gualdi and Jürg LuterbacherProjections of global changes in precipitation extremes from Coupled Model Intercomparison Project Phase 5 models. Geophysical Research Letters
Volume 40, Issue 18, 28 September 2013, Pages: 4887–4892, Toreti13.pdf.
Alexis Hannart · Michael Ghil ·Jean-Louis Dufresne · P. Naveau. Disconcerting learning on climate sensitivity and the uncertain future of uncertainty, to appear in Climatic Change.
Hannart13.pdf
Bernard, E., Naveau, P., Vrac, M., and Mestre, O. (2013). Clustering of maxima: Spatial dependencies among heavy rainfall in france. Journal of Climate, In revision [R package, ClusterMax_1.0.tar.gz].
BenardJOCrevised.pdf
Hannart . and Naveau P. An improved Bayes Information Criterion for multiple change-point models. TECHNOMETRICS, AUGUST 2012, VOL. 54, NO. 3, HannartNaveauTechnometrics.pdf.
Cooley D., R. A. Davis, P. Naveau. Approximating the Conditional Density Given Large Observed Values via a Multivariate Extremes Framework, with Application to Environmental Data., Ann. Appl. Stat. Volume 6, Number 4 (2012), 1406-1429. CooleyDavisNaveau12.pdf
Community Paper on Climate Extremes. World Climate Research Programme Open Science Conference. Authors: F.W. Zwiers, L.V. Alexander, G.C. Hegerl, T.R. Knutson, P. Naveau, N. Nicholls, C. Schar, S.I. Seneviratne, and X. Zhang
2011
D. Kim, H.-S. Oh, P. Naveau, Hybrid wavelet denoising procedure of discontinuous surfaces, IET Image Process., 2011, Vol. 5, Iss. 8, pp. 684–692 doi: 10.1049/iet-ipr.2010.0231
Kallache M., M. Vrac, P. Naveau and P.-A. Michelangeli. Non-stationary probabilistic downscaling of extreme
precipitation,JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116, D05113, doi:10.1029/2010JD014892, 2011
Gazeaux J., Flaounas E., Naveau P. and A. Hannart. Inferring change points and nonlinear trends in multivariate time series: Application to West African monsoon onset timings estimation. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116, D05101, doi:10.1029/2010JD014723, 2011
M. Ghil, P. Yiou, S. Hallegatte, B. D. Malamud, P. Naveau, A. Soloviev, P. Friederichs, V. Keilis-Borok, D. Kondrashov, V. Kossobokov, O. Mestre, C. Nicolis, H. Rust, P. Shebalin, M. Vrac, A. Witt and I. Zaliapin. Extreme Events: Dynamics, Statistics and Prediction. Nonlin. Proc. Geophys., 18, 295-350, 2011, doi:10.5194/npg-18-295-2011.
P. Naveau (2011) Incertitudes, valeurs extrêmes et climatologie, C. Jeandel and R. Mosséry (Eds.) Le Climat à Découvert, CNRS Editions, Paris, pp. 133-136
2010
Ammann C. M., and P. Naveau (2010), A Statistical Volcanic Forcing-Scenario Generator for Climate Simulations, JOURNAL OF GEOPHYSICAL RESEARCH, 115, D05107, doi:10.1029/2009JD012550
Cooley D., R. A. Davis, P. Naveau. The pairwise beta distribution: A flexible parametric multivariate model for extremes. Journal of Multivariate Analysis, Volume 101, Issue 9, October 2010, Pages 2103-2117
Flecher, C., P. Naveau, D. Allard, and N. Brisson (2010), A stochastic daily weather generator for skewed data, Water Resour. Res., 46, W07519, doi:10.1029/2009WR008098.
Flecher C., D. Allard and P. Naveau. Truncated skew-normal distributions: moments, estimation by weighted moments and application to climatic data. METRON – International Journal of Statistics 2010, vol. LXVIII, n. 3, pp. 265-279.
Jomelli, V., Naveau, P., Cooley D., Grancher, D., Brunstein, D., and Rabatel, A., A response to Bradwell’s commentary on recent statistical studies in lichenometry. Geografisca Annaler, 2010 (in press).
Kallache M. , E. Maksimovich, P.A. Michelangeli, P. Naveau. Multimodel Combination by a Bayesian Hierarchical Model: Assessment of Ice Accumulation over the Oceanic Arctic Region. Journal of Climate Volume 23, Issue 20 (October 2010) pp. 5421-5436 doi: 10.1175/2010JCLI3107.1
Yiou P., E. Bard, P. Dandin, B. Legras, P. Naveau, H. Rust, L. Terray, and M. Vrac. Statistical issues about solar-climate relations. Climate of the Past, 6, 565-573, doi:10.5194/cp-6-565-2010, 2010
You A., U. Schneider, A. Guillou, P. Naveau. Improving extreme quantile estimation via a folding procedure. Journal of Statistical Planning and Inference, Volume 140, Issue 7, July 2010, Pages 1775-1787..
2009
Carreau J., P. Naveau and E. Sauquet. A Statistical Rainfall-Runoff Mixture Model with Heavy-Tailed Compo-
nents, WATER RESOURCES RESEARCH, VOL. 45, W10437, doi:10.1029/2009WR007880, 2009
Boreux J.J, P. Naveau, O. Guin, L. Perreault, and J. Bernier, Extracting a common high frequency signal from
northern Quebec black spruce tree-rings with a Bayesian hierarchical model, Clim. Past, 5, 607–613, 2009 www.clim-past.net/5/607/2009.
Hannart A. and P. Naveau. Bayesian multiple change-points and segmentation : application to homogenization of climatic series, Water Resources Research (2009). doi:10.1029/2008WR007689
Hannart A., J.-L. Dufresne and P. Naveau. Why climate sensitivity may not be so unpredictable. GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L16707, doi:10.1029/2009GL039640, 2009
Naveau P., Guillou A., D. Cooley and J. Diebolt. Modeling Pairwise Dependence of Maxima in Space. Biometrika,
(2009), 96, 1, pp. 1–17 doi : 10.1093/biomet/asp001.
Guillou A., P. Naveau, D. Diebolt and P. Ribereau, Return level bounds for discrete and continuous random variables, Test (2009) 18: 584–604 DOI 10.1007/s11749-008-0125-7
Salameh T., P. Drobinski, M. Vrac and P. Naveau, Statistical downscaling of near-surface wind over complex
terrain in southern France, Meteorol Atmos Phys 103, 253–265 (2009) DOI 10.1007/s00703-008-0330-7
Flecher C., P. Naveau and D. Allard. Estimating the closed skew-normal distributions parameters using weighted moments, Statistics and Probability Letters 79 (2009) 1977–1984. doi:10.1016/j.spl.2009.06.004
Toulemonde G., Guillou A., Naveau P. , M. Vrac, and F. Chevallier. Autoregressive models for maxima and their applications to CH4, Environmetrics (2009), DOI : 10.1002/env.992.
2008
Bernacchia A. and P. Naveau (2008). Detecting spatial patterns with the cumulant function. Part I : The theory, Nonlin. Processes Geophys., 15, 159–167.
Ribereau P, A. Guillou and P. Naveau. Estimating return levels from maxima of non-stationary random
sequences, Nonlin. Processes Geophys., 15, 1–7, 2008 www.nonlin-processes-geophys.net/15/1/2008/
Bernacchia A., P. Naveau, M. Vrac and P. Yiou (2008). Detecting spatial
patterns with the cumulant function. Part II: An application to El Nino, Nonlin. Processes Geophys., 15, 169–177.
Rabatel, A., V. Jomelli, B. Francou and P. Naveau (2008). A chronology of the
Little Ice Age in the tropical Andes of Bolivia (16S) based on moraine dating by lichenometry: implications for climate reconstruction. Quaternary Research, 70 (2), p.198-212, Sep 2008 .
Dielbolt J., Guillou A., Naveau, P. and Ribereau P. (2008). Improving Probability-Weighted Moment Methods for the Generalized Extreme Value Distribution, Volume 6, Number 1, 33-50, RevStat.
Jomelli V., V. Favier, A. Rabatel, D. Brunstein, P. Naveau, G. Hoffmann, B. Francou. (2008).Fluctuations of Andean tropical glaciers since the last millennium and palaeoclimatic implication: a review. Paleogeography, Paleoclimatology Paleoecology (in press).
2007
Allard D. and P. Naveau, Simulating and analyzing Spatial Skew Normal random fields (2007). Communications in Statistics Volume 36, Issue 9.
Furrer R. and Naveau P., Probability Weighted Moments Properties for Small Samples (2007). Satistics and Probability Letters, 77 190-195.
Cooley D., D. Nychka and P. Naveau (2007). Bayesian Spatial Modeling of Extreme Precipitation Return Levels, Journal of The American Statistical Associatio, 102(479):824–840.
Jomelli V., D. Grancher, P. Naveau, D. Cooley and D. Brunstein. Assessment study of lichenometric methods for dating surfaces Geomorphology,86:1-2, 131–143. doi:10.1016/j.geomorph.2006.08.010.
Naveau P., V. Jomelli, D. Cooley and A. Rabatel (2007). Modeling Uncertainties in Lichenometry Studies, Arctic, Antarctic, and Alpine Research, vol. 39, 2, 277–285.
Naveau P. and P. Poncet (2007). State-space models for precipitation maxima. Journal de la SociÌetÌe Francaise de Statistique et Revue de Statistique AppliquÌee, vol. 148, pp 107–120.
Puceat E., C. Lecuyer, Y. Donnadieu, P. Naveau, H. Cappetta, G. Ramstein and B. T. Huber (2007). Fish tooth d18O revising Late Cretaceous meridional SST gradients, Geology, 07v. 35 ; no. 2 ; p. 107–110 ; doi : 10.1130/G23103A.1.
Vannitsem S. and P. Naveau (2007). Spatial dependences among precipitation maxima over Belgium, Nonlin. Processes Geophys., 14, 621–630.
Vrac M. and P. Naveau. (2007). Stochastic downscaling of precipitation : From dry events to heavy rainfalls. Water Resources Research, 43, W07402, doi:10.1029/2006WR005308.
Vrac M., P. Marbaix, D. Paillard and P. Naveau (2007). Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe, Clim. Past, 3, 669–682, 2007.
Vrac M., P. Naveau and P. Drobinksy (2007). Modeling pairwise rainfall intensities, Nonlin. Processes Geophys., 14, 789–797.
Yiou, P. Ribereau, Naveau P., M. Nogaj and R. Brazdil (2007). Statistical analysis of floods in Bohemia (Czech Republic) since 1827, Hydrological Sciences Journal, vol. 51(5), 930-945.
Yiou P., R. Vautard, P. Naveau and C. Cassou Inconsistency of 2006/07 and previous decade fall/winter European warming with atmospheric flow change,Geophys. Res. Lett., 34, L21808,doi:10.1029/2007GL031981.
2006
M. Nogaj, P. Yiou, S. Parey, F. Malek and P. Naveau (2006) Intensity and Frequency of Temperature Extremes over the North Atlantic Region, Geophysical Research Letters, Geo. Res. Letters, vol. 33, L10801, doi :10.1029/2005GL024251.
A. Juillet-Leclerc, S. Thiria, N. Le Bec, T. Delcroix, P. Naveau, D. Blamart and T. Correge, SPCZ migration and ENSO events during the XXth century as revealed by multi-proxies analyses of a Fiji massive coral, Geophysical Research Letters, vol 33.
F. Borchi, P. Naveau, P. Keckhut, A. Hauchecorne and L. Goldfarb, Detecting variability changes in Arctic total ozone column, Journal of Atmospheric and Solar-Terrestrial Physics, 68 (2006) 1383-1395.
D. Cooley, P. Naveau and P. Poncet, Variograms for spatial max-stable random fields (2006). in Lecture Notes In Statistics, Springer, Statistics for dependent data.
P.A. Danis, V. Masson-Delmotte, M. Stievenard, M.T. Guillemin, V. Daux, Ph. Naveau and U. von Grafenstein, Reconstruction of past precipitation d18O using tree-ring cellulose d18O and d13C : a calibration study near Lac d’Annecy, France, Earth and Planetary Science Letters, 2006
2005
D. Cooley and P. Naveau and V. Jomelli, A Bayesian Hierarchical Extreme Value Model for Lichenometry, Environmetrics, 2005, 16, pp 1–20
P. Naveau, M. Genton, and X. Shen. A skewed kalman filter. Journal of Multivariate Statistics, Volume 94, Issue 2, pages 382-400, 2005
P. Naveau and C. Ammann, Statistical modeling of the impact of the volcanic forcing distribution on climate, Geophysical Research Letters, 2005, 32 :5
P. Naveau and M. Nogaj and C. Ammann and P. Yiou and D. Cooley and V. Jomelli, Statistical Analysis of Climate Extremes, Comptes rendus Geosciences de l’Academie des Sciences, 2005, pp 1013–1022
A. Rabatel and V. Jomelli and P. Naveau and B. Francou and D. Grancher, Dating of Little Ice Age glacier fluctuations in the tropical Andes : Charquini glaciers, Bolivia, 16S, Comptes rendus Geosciences de l’Academie des Sciences, 2005, 337 :5, pp 1311–1322
2004
P. Naveau, M. Vrac, G. Genton, A. Ch Ìedin and E. Diday, Two Statistical Methods For Improving the Analysis of Large Climatic Data Sets : General Skewed Kalman Filters and Distributions of Distributions, geoEnv IV-Geostatistics for Environmental Applications, 2004, pp 1-14, Kluwer Academic Publishers
P. Naveau and H.S. Oh, Polynomial wavelet regression for images with irregular boundaries, IEEE Transactions on Image Processing, 2004, 13, 6, pp 773-781
P. Naveau, M. Genton M. and C. Ammann, Time series analysis with a skewed Kalman filter, pp 259-278, Skew-Elliptical Distributions and Their Applications : a Journey Beyond Normality, Chapman and Hall CRC, Boca Raton, FL, 2004
P. Naveau and D. Allard, Modeling Skewness in Spatial Data Analysis without Data Transformation, Proceedings of the Seventh International Geostatistics Congress (Banff Canada), 2004, Academic publishers
D. Cooley, V. Jomelli and P. Naveau, Spatio-temporal Analysis of Extreme Values from Lichenometric Studies and their Relationships to Climate, Proceedings of TIES 2004 and ACCURACY 2004 : 6th International conference on Spatial Accuracy Assessment), 2004
2003
P. Naveau, Almost Sure Relative Stability of the Maximum of a Stationary sequence, Advances in Applied Probability, 2003, 35, 3, pp 721-736
P. Naveau, C. Ammann, H.S. Oh and W. Guo, An automatic statistical methodology to extract pulse like forcing factors in climatic time series, pp 177–186, Volcanism and the Earth’s Atmosphere, Geophys. Monograph, 2003
C. Ammann and P. Naveau, Multi-decadal Periodicity in Tropical Explosive Volcanism, Geophys. Res. Letters, 2003, 30, pp 1210-1029
H.S. Oh, C. Ammann, P. Naveau, D. Nychka and B. Otto-Bliesner, Multi-resolution time series analysis applied to solar irradiance and climate reconstructions, J. Atmospheric and Solar-Terrestrial Phys., 2003, 65, pp 191-201
P. Naveau and M. Moncrieff, A Statistical Formulation of Convective Mass Fluxes, Quaterly Journal of Royal Meteorology Society, 2003, 129, pp 2217-2233
P. Naveau, R. Furrer and P. Keckhut, The spatio-temporal influence of the vortex on Arctic Total Column Ozone variability, The ISI International Conference on Environmental Statistics and Health, 2003, pp 131-139
2002
R. Katz, M. Parlange, and P. Naveau. Extremes in hydrology. Advances in Water Resources, 25 :1287-1304, 2002
2001
H.S. Oh, P. Naveau and G. Lee, Polynomial Boundary Treatment for Wavelet Regression, Biometrika, 2001, 88, 1, pp 291-298
M. Vrac, E. Diday, P. Naveau and A. Ch Ìedin, Mixture of distributions of distributions, Proceedings de la Societe Francophone de Classification, 2001
P. Naveau, R. Katz and M. Moncrieff, Extremes and Climate : an Introduction and a Case Study, Notes de l’Institut Pierre Simon Laplace (ISSN 1626-8334), 2001, 11, pp 4-22
2000
P. Naveau, M. Moncrieff, J.I. Yano and X. Wu, Exploratory Statistical Analysis of Tropical Oceanic Convection Using Discrete Wavelet Transforms, pp 117-132,Studies in Statistics and the Atmospheric Sciences, Lecture Notes in Statistics (ISBN 0-387-98757-6), Springer-Verlag, 2000
1999
P. Naveau, P. Brockwell and D. Nychka, Dependence Structure of Random Wavelet Coefficients in Terms of Cumulants, Curve and Surface Fitting (ISBN 0-8265-1357-3), 1999, pp 343-350,Vanderbilt University Press Nashville TN
1998
P. Naveau, Almost sure convergence of the maximum of a stationary sequence and asymptotic properties of probability weighted moments, (PhD dissertation) Department of Statistics, 1998,Colorado State University at Fort-Collins, USA
1997
P. Naveau, Comparison between the Chernoff and Factorial Moments Bounds for discrete Random variables, The American Statistician, 1997, 51, pp 40-42
