Publications

◉ Dabo-Niang, S. (2002). Estimation of probability density in infinite dimension : Appli- cation to diffusion processes. C.R.Acad. Sci. Paris, Ser I.334, 213-216.

◉ Dabo-Niang, S and Rhomari, N. (2003). Non-parametric estimation of regression with explanatory variable in a metric space. C.R.Acad. Sci. Paris, Ser I. 336, 75-80.

◉ Dabo-Niang, S. (2003). Density estimation in a separable metric space. Pub. Inst. Stat. Univ. Paris, Vol. XXXXVII, fasc. 1-2, 3-21.

◉ Dabo-Niang, S. (2004). Density estimation by orthogonal series in an infinite dimensional space : Application to processes of diffusion type. Journal of Nonparametric Statistics, Vol 16, 1-2, p : 171-186.

◉ Dabo-Niang, S. (2004). Kernel density estimator in an infinite dimensional space with a rate of convergence in the case of diffusion process. Applied Mathematical Letters, Vol 17, 4, p : 381-386.

◉ Dabo-Niang, S ; Ferraty, F and Vieu, P. (2004). Mode estimation in a functional space,C.R.Acad. Sci. Paris, Ser I. 339, 659-662.

◉ Dabo-Niang, S ; Ferraty, F and Vieu, P. (2004). Nonparametric unsupervised classifica- tion of satellite wave altimeter forms. In Proceedings in Computational Statistics, Ed, J, Antoch, Physica-Verlag, Heidelberg New-York, p : 879-886.

◉ Dabo-Niang, S ; Ferraty, F and Vieu, P. (2006). Mode estimation for functional random variable and its application for curves classification. Far East Journal of Theoretical Statistics. Vol 18, No. 1 (2006), pp 93 - 119.

◉ Dabo-Niang, S ; Ferraty, F and Vieu, P. (2007). On the using of modal curves for radar waveforms classification. Computational statistics and data analysis, Vol 51, 4878-4890.

◉ Dabo-Niang, S. and Laksaci, A. (2007). Estimation of non-parametric conditional mode for explanatory functional variable. C.R., Math., Acad. Sci. Paris, 344, 49-52.

◉ Dabo-Niang, S and Yao, A-F (2007). Spatial kernel regression estimation, Mathematical Methods of Statistics, Vol 16, No 4, 1-20.

◉ Dabo-Niang, S and Laksaci, A (2007). Non-parametric conditional mode estimate with explanatory functional variable. Pub. Inst. Stat. Univ. LI, 3, 27-42.

◉ Deru, X., Champarnaud, L., Dabo, S., and Florent, G. (2007). Chronology, ceramics and statistics, Proceedings of the Congress of Langres, SFECAG, 49-60.

◉ Basse, M, Dabo-Niang, S and Diop, A (2008). Kernel density estimation for functional random fields. Pub. Inst. Stat. Univ. Paris, LII, 1-2, 91-108.

◉ Dabo-Niang,SandRhomari,N (2009).KernelregressionestimateinaBanachspace.Journal of statistical planning and inference, 139, 1421-1434.

◉ Dabo-Niang, S and Guillas S (2010). Functional semi-parametric partially linear model with autoregressive errors. Journal of multivariate analysis, 101, 2, 307-315.

◉ Dabo-Niang, S, Yao, A-F, Pischedda, L, Cuny, P and Gilbert, F. (2010). Spatial mode estimation for functional random fields with application to bioturbation problem. Sto- chastic Environmental Research and Risk Assessment, 24, 4, 487-497.

◉ Bensaid, N and Dabo-Niang, S. (2010). Frequency polygons for continuous random fields.Stochastic Processes and Statistical Inference, 13,1, 55-80.

◉ Dabo-Niang, S and Laksaci, A. (2010). Note on conditional mode estimation for func- tional dependent data. Statistica, Vol LXX (1), 83-94.

◉ Abdi, S, Abdi, A, Dabo-Niang, S et Diop, A. (2010). Consistency of a nonparametric conditional quantile estimator for random fields. Mathematical Methods and Statistics, 2010, Vol. 19, No. 1, 1-21.

◉ Dabo-Niang, S and Thiam, B. (2010). L₁ consistency of a kernel estimate of spatial conditional quantile. Statistics and probability letters, Vol. 80 (17-18), 1447-1458.

◉ Abdi A, Abdi, S, Dabo-Niang, S and Diop, A. (2010). Estimation non-param ́etrique du mode conditionnel spatial. C. R., Math., Acad. Sci. Paris . Vol. 348 (13-14), 815-819.

◉ Dabo-Niang, S, Francq, C and Zakoian, J-M. (2010). Combining parametric and nonpa- rametric approaches for time series prediction. JASA, Vol 105 (492), 1554-1565.

◉ Benrabah, O, Dabo-Niang S. et Hamdad, L. (2010). Kernel density estimation for linear processes with dependent innovations. Journal of Statistics : Advances in Theory and Applications, Vol 4, 1, 41-72.

◉ Dabo-Niang, S, Kaid, Z. and Laksaci, A (2011). Sur la r ́egression quantile pour variable explicative fonctionnelle : Cas des donnees spatiales. C. R., Math., Acad. Sci. Paris. Vol 349, 23-24, 1287-1291.

◉ Abdi A, Abdi, S, Dabo-Niang, S and Diop, A. (2011). Asymptotic normality of a nonpa- rametric conditional quantile estimator for random fields. Advances in Decision Sciences. Article ID 462157, doi :10.1155/2011/462157.

◉ Dabo-Niang, S, Rachdi M and Yao, A-F. (2011). Spatial kernel regression estimation and prediction for functional random fields. Far east journal of Statistics. Volume 37, Issue 2, Pages 77 - 113.

◉ Dabo-Niang, S and Laksaci, A. (2012). Nonparametric quantile regression estimation for functional dependent data. Communication in Statistics : Theory and Methods. 41, 1254-1268.

◉ Chebana, F, Dabo-Niang, S and Ouarda, T. (2012). Explanatory functional flood fre- quency analysis. Water Resources Research, 48, W04514, doi :10.1029/2011WR011040.

◉ Dabo-Niang, S, Kaid, Z. and Laksaci, A (2012). On spatial conditional mode estimation for a functional regressor. Statistics and probability letters, 82 (2012) 1413-1421.

◉ Dabo-Niang, S et Zoueu, J. (2012). Using kriging to resolve malaria-infected erythrocyte contents. Journal of Microscopy. DOI : 10.1111/j.1365-2818.2012.03637., 247 (3), 240- 251.

◉ Dabo-Niang, S, Kaid, Z. and Laksaci, A (2012). Spatial conditional quantile regression : weak consistency of a kernel estimate. Revue Roum Math Pures Appl, 4, 311-339.

◉ Dabo-Niang, S and Yao, A-F. (2013). Spatial kernel density estimation for functional random variables. Metrika. 76(1) :19-52.

◉ Dabo-Niang, S ; Abdi, S ; Abdi, A, and Diop, A. (2014). Consistency of a nonparametric conditional mode estimator for random fields. Statistical Methods and Application. DOI : 10.1007/s10260-013-0239-2.

◉ Vandewalle, V., Preda, C., Dabo-Niang, S. (2018). Clustering spatial functional data.Wiley book ; Geostatistical Functional Data Analysis : Theory and Methods. Editors : Jorge Mateu, Ramon Giraldo. To appear.

◉ Giraldo, R., Dabo-Niang, S., Martinez, S. (2018). Statistical modeling of spatial big data : An approach from a functional data analysis perspective. Statistics and Probability Letters ; https ://doi.org/10.1016/j.spl.2018.02.025

◉ Hamdad, L., Benrabah, O., Dabo-Niang, S. (2018). Exploring spectral density estimation for spatial linear process with mixing innovations. Arab. J. Math ;https ://doi.org/10.1007/s40065-018-0227-3

◉ Curceac, S., Ternynck, C., Ouarda, T.B.M.J., Chebana, F., Dabo-Niang, S. (2019). Short-term air temperature forecasting using Nonparametric Functional Data Analy- sis and SARMA models. Environmental Modelling and Software; Vol; 111, 394-408. DOI : 10.1016/j.envsoft.2018.09.017

◉ Dabo-Niang, S., Thiam, B. (2019). Kernel regression estimation with errors-in-variables for random fields. Afr. Mat ; https ://doi.org/10.1007/s13370-019-00654-7

◉ Dabo-Niang, S., Hamdad, L., Ternynck, C., Yao, A.-F. (2014). A kernel spatial den- sity estimation with applications to spatial clustering and Monsoon Asia Drought Atlas analysis. SERRA, 28, 2075-2099.

◉ Dabo-Niang, S, Kaid, Z. and Laksaci, A (2015). On spatial conditional quantile es- timation for a functional regressor. Advances in Statistical Analysis, 2, 131-160. DOI 10.1007/s10182-014-0233-5

◉ Dabo-Niang, Ternynck, C., Yao, A.-F. (2015). A new spatial regression estimator in the multivariate context. C. R., Math., Acad. Sci. Paris, 353, 635-639. DOI10.1016/j.crma.2015.04.004

◉ Bouka, S., Dabo-Niang, S., Nkiet, G-M (2015). Non-parametric level set estimation for spatial data. Advances and Application in Statistics, 46 (2), 119-158.

◉ Amiri, A, Dabo-Niang and Yahaya, M (2016). Non-parametric recursive density estima- tion for spatial data. C. R., Math., Acad. Sci. Paris, 354 (2), 205-210doi :10.1016/j.crma.2015.10.010.

◉ Ternynck, C., Ali Ben Alaya, M., Chebana, F., Dabo-Niang, S., Ouarda, T. B. M. J. (2016). Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, 17(1), DOI : 10.1175/JHM-D-14-0200.1.

◉ Dabo-Niang, S, Guillas, S and Ternynck, C. (2016). More efficient kernel functional regression estimation with autocorrelated errors. Journal of Multivariate Analysis, 147, 168-182, doi :10.1016/j.jmva.2016.01.007

◉ Dabo-Niang, Ternynck, C., Yao, A.-F. (2016). Nonparametric prediction in the multiva- riate spatial context. Journal of Nonparametric Statistics, 10.1080/10485252.2016.1164313.

◉ Masselot, P., Dabo-Niang, S., Chebana, F. and Ouarda, T B.M.J. (2016). Streamflow forecasting using functional regression. Journal of Hydrology, 538C, 754-766. doi : 10.1016/j.jhydrol.2016.04.048

◉ André, M., Dabo-Niang, S., Soubdhan, T. and Ould-Baba, H. (2016). Predictive spatio- temporal model for spatially sparse global solar radiation data. Energy, 111, 599-608. doi :10.1016/j.energy.2016.06.004

◉ Soro, B., Hili, O., Niang, S. (2017). Asymptotic Properties of Longitudinal Weigh- ted Averages for Strongly Mixing Data. Journal of Mathematics Research, 9(2), p65. doi :http ://dx.doi.org/10.5539/jmr.v9n2p65

◉ Amiri, A and Dabo-Niang, S. (2017). Density estimation over spatio-temporal data stream. Econometrics and Statistics ; https ://doi.org/10.1016/j.ecosta.2017.08.005.

◉ Hamdad, L., Benrabah, O., Dabo-Niang, S. (2018). Exploring spectral density estimation for spatial linear process with mixing innovations. Arab. J. Math ;https ://doi.org/10.1007/s40065-018-0227-3

◉ Giraldo, R., Dabo-Niang, S., Martinez, S. (2018). Statistical modeling of spatial big data : An approach from a functional data analysis perspective. Statistics and Probability Letters ; https ://doi.org/10.1016/j.spl.2018.02.025

◉ Curceac, S., Ternynck, C., Ouarda, T.B.M.J., Chebana, F., Dabo-Niang, S. (2019). Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling and Software; Vol; 111, 394-408. DOI : 10.1016/j.envsoft.2018.09.017

◉ Dabo-Niang, S., Thiam, B. (2019). Kernel regression estimation with errors-in-variables for random fields. Afr. Mat ; https ://doi.org/10.1007/s13370-019-00654-7

◉ Alaya, M-A-B., Ternynck, C., Dabo-Niang, S., Chebana, F.,Ouarda, T.B.M.J.(2020). Change point detection of flood events using a functional data framework. Advances in Water Resources Vol ; 137, 103522 ; https ://doi.org/10.1016/j.advwatres.2020.103522

◉ Ndiaye ; M., Dabo-Niang, S., Ngom, P., Thiam, N., Fall, M., Brehmer, P. (2020). Non- parametric prediction for spatial dependent functional data : Application to demersal coastal off Senegal. In Mathematical Modeling and Study of Random or Deterministic Phenomena, Wiley. Wiley. http://www.iste.co.uk/book.php?id=1601

◉ Ahmed, M-S., Broze, L., Dabo-Niang, S., Gharbi, Z. (2020). Regression models for spatially distributed autoregressive functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8.

◉ Dabo-Niang, S., Ternynck, C., Thiam, B. and Yao, A-F. (2020). Non-parametric statistical analysis of spatially distributed functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8

◉ Vandewalle, V., Preda, C., Dabo-Niang, S. (2020). Clustering spatial functional data. Geostatistical Functional Data Analysis : Theory and Methods. J. Mateu and R. Giraldo (Eds). John Wiley and Sons, Chichester, UK. ISBN : 978-1-119-38784-8.

◉ Adekpedjou, A., Dabo-Niang, S. (2020). Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics. https://doi.org/10.1111/sjos.12480

◉ Boumeddane, S., Hamdad, L., Dabo-Niang, S., Haddadou, H. (2020). A Kernel Discriminant Analysis for Spatially Dependent Data. To appear in Distributed and Parallel Databases.

◉ Doumun, S. Dabo-Niang, S. and Zoueu, J. (2020). Performance assessment and contribution to the development of multispectral image analysis for automatic and rapid diagnostic of Malaria. To appear in Journal of Spectral Imaging.

◉ Dabo-Niang, S and Ferraty, F. (2008). Functional and Operatorial Statistics, Springer- Verlag, New-York.

◉ Manou-Abi, S., Dabo-Niang, S and Salone, J-J. (2020). Mathematical Modeling and Study of Random or Deterministic Phenomena, Wiley. http://www.iste.co.uk/book.php?id=1601

◉ Ahmed, M.S, Attouch, M.K., Dabo-Niang, S, Ndiaye, M. (2019). K-nearest neighbors method estimation of regression function for spatial dependent data.

◉ Dabo-Niang, S., Doumun, S. and Zoueu, J. (2020). Performance assessment and contribution to the development of multispectral image analysis for automatic and rapid diagnostic of Malaria.

◉ Ahmed, M-S,. Dabo-Niang, S., Genin, M., Hassan, A-A. (2020). Partially linear spatial probit models.

◉ Darwich, E, Dabo-Niang, S, Foncel, J., Torres, O. (2019). Binary Choice Models With Choice-Based Sampling and application to VADS Cancer in Nord Pas De Calais.

◉ Bassene, A, Dabo-Niang, S, Diop., A. Thiam, B. (2019). Conditional tail index estimation for random fields : fixed design case

◉ Bassene, A, Dabo-Niang, S, Diop., A. Thiam, B. (2019). Kernel estimation of conditional tail index and quantile estimation for random fields

◉ Bouka, S., Dabo-Niang, S., Gayraud G., Nkiet, G-M (2019). Minimax testing in a spatial discrete regression scheme.

◉ Chiu, Y., Dabo-Niang, S., Chebana, F. and Ouarda, T B.M.J. (2019). Streamflow fore- casting using functional time series.

◉ Dabo-Niang, S., Doumun, S. and Zoueu, J. (2020). Performance assessment and contri- bution to the development of multispectral image analysis for automatic and rapid diag- nostic of Malaria.

◉ Dabo-Niang, S., El Ghini, A. and Yacour, S. (2020). Spatial-temporal analysis of impact of economic growth on the environment in Africa.

◉ Dabo-Niang, S (2001). Two kernel density estimators in an infinite dimensional space : Appli- cation to processes of diffusion type. Publications CREST No 2001-05 .

◉ Dabo-Niang, S (2002-2004). Density estimation by orthogonal series in an infinite dimensional space : Application to processes of diffusion type. Publications ISUP-LSTA, .

◉ Dabo-Niang, S and Maumy, M (2003). Law of the logarithm iterated for probability density estimation in the multivariate case. Preprint

◉ Dabo-Niang, S and Emilion, R (2003). Results of Differentiation of measurements in a Banach space : Application to the functional estimation. Preprint.

◉ Dabo-Niang, S and Rhomari, N (2002-2009). Nonparametric regression estimation when the regressor takes its values in metric space. Publications ISUP-LSTA, .

◉ Dabo-Niang, S, Ferraty, F and Vieu, P (2009). Mode estimation for functional random variable and its application for curves classification, Proceedings of The Multimodality and Related Topics conference. Editor : K. Tribouley, 52-64.