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.

◉ Dabo-Niang, S., Hamdad, L., Ternynck, C., Yao, A.-F. (2014). A kernel spatial density estimation with applications to spatial clustering and Monsoon Asia Drought Atlas analysis. SERRA, 28, 2075-2099. 36. 

◉ Dabo-Niang, S, Kaid, Z. and Laksaci, A (2015). On spatial conditional quantile estimation for a functional regressor. Advances in Statistical Analysis, 2, 131-160. DOI 10.1007/s10182-014-0233-5 37. 

◉ 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 38.

◉ 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. 39. 

◉ Amiri, A, Dabo-Niang and Yahaya, M (2016). Non-parametric recursive density estimation for spatial data. C. R., Math., Acad. Sci. Paris, 354 (2), 205-210 doi :10.1016/j.crma.2015.10.010. 40. 

◉ 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. 41.

 ◉ Dabo-Niang, S, Guillas, S and Ternynck, C. (2016). Efficiency in Multivariate Functional Nonparametric Models with Autoregressive Errors. Journal of Multivariate Analysis, 147, 168-182, doi :10.1016/j.jmva.2016.01.007 

◉ Dabo-Niang, S., Ternynck, C., Yao, A.-F. (2016). Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, 10.1080/10485252.2016.1164313. 43. 

◉ 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 44. 

◉ André, M., Dabo-Niang, S., Soubdhan, T. and Ould-Baba, H. (2016). Predictive spatiotemporal model for spatially sparse global solar radiation data. Energy, 111, 599-608. doi :10.1016/j.energy.2016.06.004 45. 

◉ Soro, B., Hili, O., Niang, S. (2017). Asymptotic Properties of Longitudinal Weighted Averages for Strongly Mixing Data. Journal of Mathematics Research, 9(2), p65. doi :http ://dx.doi.org/10.5539/jmr.v9n2p65 46. 

◉ 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. 47. 

◉ Ahmed, M.S, Attouch, M. and Dabo-Niang, S. (2017). Functional Binary Choice Models With Choice-Based Sampling. Econometrics and Statistics ; https ://doi.org/10.1016/j.ecosta.2017.07.001 

◉ 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

◉ 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

◉ Ahmed, M-S., Dabo-Niang, S., Genin, M., Hassan, A.A. (2019). Partially linear spatial probit models. Annals of ISUP. Annals of ISUP. 63, fasc. 2-3, 2019, 71-96

◉ 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

◉ 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.

◉ Boumeddane, S. ; Hamdad, L. ; Haddadou, H. and Dabo-Niang, S. (2021). Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Vol. 2 : ICAART, ISBN 978-989-758-484-8 ISSN 2184-433X, p : 278-285. DOI : 10.5220/0010269002780285 62. 

◉  Ndiaye ; M., Dabo-Niang, S., Ngom, P., Thiam, N., Fall, M., Brehmer, P. (2021). 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. (2021). 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. (2021). 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

◉ Boumeddane, S., Hamdad, L., Dabo-Niang, S., Haddadou, H. (2021). A Kernel Discriminant Analysis for Spatially Dependent Data. Distributed and Parallel Databases. 39 : 583-606. https ://doi.org/10.1007/s10619-020-07309-8.

◉Gbogbo, A.Y, Kouakou, B-K, Dabo-Niang, S. Zoueu, J-T.  (2022). Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters. Ecological Informatics, Vol 68. https ://doi.org/10.1016/j.ecoinf.2021.101528.

◉ Ahmadian, B., Mbujamba, D., Gerbedoen, J-C., Kumemura, M., Fujita, H., Collard, D., Dabo-Niang, S., Lagadec, C., Tarhan, M-C (2022). Single cell classification using statistical learning on mechanical properties measured by mems tweezers. The 35th International Conference on Micro Electro Mechanical Systems. MEMS 2022, 9-13.

◉ Kanga, S-H-A,.Hili, O., Dabo-Niang, S (2022). On Nonparametric Conditional Quantile Estimation for Non-stationary Random Fields. Afrika Statistika,16 (4), 2021, 3009 - 3039. DOI : http ://dx.doi.org/10.16929/as/2021.3009.193.

◉ Yacour, S., Dabo-Niang, S., El Ghini, A. (2022). Investigating Environmental Kuznets Curve for CO2 Emissions : A Cointegration Analysis for Morocco. Proceedings of the Sixteenth International Conference on Management Science and Engineering Manage- ment. Vol 2, 145, 506-525. Lecture Notes on Data Engineering and Communications Technologies, DOI : 10.1007/978-3-031-10385-8-36.

◉ Kanga, A-S., Ouagnina H., Dabo-Niang, S, N’Guessan, A (2022). Asymptotic properties of nonparametric quantile estimation with spatial dependency. Statistica Neerlandica, 2022, DOI : 10.1111/stan.12284.

◉C. Fr ́event, M.S. Ahmed, J. Soula, Z. Smida, L. Cucala, S. Dabo-Niang et M. Genin (2022). The R Package HDSpatialScan for Multivariate and Functional Spatial Scan Statistics. The R Journal. DOI : 10.32614/RJ-2022-045

◉Dabo-Niang, S., Darwich, E., Hamdad, L., Thiam, B. (2022). Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region. SN Computer Science. DOI : https ://doi.org/10.1007/s42979-022-01426-0.

◉Tchazino, T., Dabo-Niang, S and Diop, A (2022). Tail and quantile estimation for real- valued beta-mixing spatial data.
Mathematical Methods of Statistics. DOI : 10.3103/S1066530722040044

◉Fr ́event, C., Ahmed, M-S , Dabo-Niang, S., and Genin, M. (2023). Investigating spatial scan statistics for multivariate functional data. Journal of Royal Statistical Society C. 72, Issue 2, May 2023, Pages 450-475, https ://doi.org/10.1093/jrsssc/qlad017.

◉Bouka, S., Dabo-Niang, S., and Nkiet, G-M. (2023) On estimation and prediction in spatial functional linear regression model. Lithuanian Mathematical Journal. DOI : 10.1007/s10986-023-09586-z

◉Si-Ahmed, I., Azeyou, M., Hamdad, L., Dabo-Niang, S. (2023). Functional, Multivariate Functional and Spatial PCA : Application to Covid-19 Data in the African Continent. In : Laouar, M.R., Balas, V.E., Lejdel, B., Eom, S., Boudia, M.A. (eds) 12th International Conference on Information Systems and Advanced Technologies ICISAT 2022. ICISAT 2022. Lecture Notes in Networks and Systems, vol 624. Springer, Cham.

◉Amouzay, H., Chakir, R., Dabo-Niang, S., El Ghiny, A. (2023). Structural Changes in Temperature and Precipitation in MENA Countries. Earth Syst Environ.
https ://doi.org/10.1007/s41748-023-00344-2

◉Agonkoui, C., Dabo-Niang, S., Moussa. F-D. (2023). Multivariate Functional Principal Component Analysis for stratified data. Afrika Statistika.
http ://dx.doi.org/10.16929/as/2022.3321.308

◉Ringo, T-T, Nasini, S., Dabo-Niang S. (2023). An estimation approach for the influential- imitator diffusion, Computers and Operations Research, 159.
https ://doi.org/10.1016/j.cor.2023.106315.

◉Sun, N., Bursac, Z., Dryden, I. Lucchini, R., Dabo-Niang S., Ibrahimou, B. (2023). Bayesian spatiotemporal modelling for disease mapping : an application to preeclampsia and gestational diabetes in Florida, United States. Environ Sci Pollut Res.
https ://doi.org/10.1007/s11356-023-29953-0

◉Ahmed, M.S, Attouch, M.K, Dabo-Niang, S, Ndiaye, M. (2023). K-nearest neighbors method estimation of regression function for spatial dependent data. Journal of Spatial Econometrics. vol. 4(1), 1-34. https ://doi.org/10.1007/s43071-023-00041-2

◉Moindji ́e, IA., Dabo-Niang, S., Preda, C. (2024) Classification of multivariate functional data on different domains with Partial Least Squares approaches. Stat Comput 34, 5. https ://doi.org/10.1007/s11222-023-10324-1

◉Kande, Y., Diogoul, N., Brehmer, P., Dabo-Niang, S,. Ngom, P., Perrot, Y. (2024). De- monstrating the relevance of spatial-functional statistical analysis in marine ecological studies : The case of environmental variations in micronektonic layers, Ecological Infor- matics, 81, https ://doi.org/10.1016/j.ecoinf.2024.102547.

◉Dabo-Niang, S., Esteban, M-J., Guillop ́e, G., Martinez, C., M-F., Roy, M-F. (2024). Aspects of the gender gap in mathematics. European Mathematical Society Magazine. https ://euromathsoc.org/magazine/articles/178

◉Fr ́event, C., Ahmed,. Dabo-Niang, S., Genin, M. (2024). A shared-frailty spatial scan statistic model for time-to-event data. Biometrical Journal.
https ://doi.org/10.1002/bimj.202300200

◉Faye, P.A., Brunel, E., Claverie, T., Manou-Abi, S., and Dabo-Niang, S. (2024). Auto- matic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. Earth Sci Inform.
https ://doi.org/10.1007/s12145-024-01347-x

◉Pillay, A.B., Pathmanathan, D., Dabo-Niang, S., Abu, A., Omar, H. (2024). Functional data geometric morphometrics with machine learning for craniodental shape classifica- tion in shrews. Scientific Report 14, 15579. https ://doi.org/10.1038/s41598-024-66246-z

◉Dabo-Niang, S., Fr ́event, C (2024). Uncovering Data Across Continua : An Introduction to Functional Data Analysis. AMS Notice (August, 2024).
https ://www.ams.org/journals/notices/202407/rnoti-p869.pdf

◉Tzung Hsuen, K.; Pathmanathan, D.; Otto, P.; Dabo-Niang, S. (2024). A Markov-switching spatio-temporal ARCH model. STAT. https ://doi.org/10.1002/sta4.713

◉Doumun, S., Dabo-Niang, S., Zoueu, J. (2024). A Novel Unstained Blood Smears Multis- pectral Images Normalization for automatic and rapid diagnosis of malaria. International Journal of Imaging Systems and Technology. https ://doi.org/10.1002/ima.23182

◉Ibrahimou, B., Sun, N., Dabo-Niang S. (2024). Assessing the multi-dimensional effects of air pollution on maternal complications and birth outcomes : A structural equa- tion modeling approach. Hygiene and Environmental Health Advances. 12, 100113. https ://doi.org/10.1016/j.heha.2024.100113

◉Moindji é, IA., Preda, C., Dabo-Niang, S. (2025). Fusion regression methods with repea- ted functional data. To appear in CSDA

◉Si-Ahmed, I., Hamdad, L., Agonkoui, C., Kande, Y., Dabo-Niang, S. (2025). Principal Component Analysis of Multivariate Spatial Functional Data. To appear in Big Data Research

◉Yap, Z.J., Pathmanathan, D.P., Dabo-Niang, S. (2025). Forecasting mortality rates with functional signatures. ASTIN Bulletin. To appear in The Journal of the International Actuarial Association.

◉ 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

◉ Pathmanathan, D., Dabo-Mbenard, I., Tzung Hsuen, K., Hassan, A.A. and Dabo-Niang, S. (2024).  Functional space time series forecasting and application to age-specific mortality rates.

◉ Nasini, S., Erdemlioglu, D., Ding, H., Dabo-Niang, S. (2024). Retrospective Bayesian Estimation for Multinational Pandemic Outbreaks.

◉ Jannin, A., Dessein, A-F., Dabo-Niang, S., et al. (2024). Metabolite biomarker discovery for pancreatic neuroendocrine tumors using metabolomic approach

◉ Ahmadian, Agonkoui, C., Dabo-Niang, I-M, B.,Collard, D., Tarhan, M-C., Dabo-Niang, S (2024). Single cell classification for cancer cell identification.

◉Cheok, M., Dabo-Niang, S., Nasini, S., Thiam, B. (2024). Integrated AI-based pharma- codynamic modelling for pediatric acute myeloid leukemia.

◉ BenSaber, A., Dabo-Niang, S., Karoui, A. (2023). Multivariate nonparametric regression by least squares Jacobi polynomials approximations Soumis `a Journal of Multivariate Analysis

◉ Dabo-Niang, S., El Ghini, A. and Yacour, S. (2023). Spatial-temporal analysis of impact of economic growth on the environment in Africa.

◉ Frévent, C., Ahmed, M-S, Soula, J., Smida, Z., Cucala, L., Dabo-Niang, S., Genin, M. (2021). Multivariate and Functional Spatial Scan Statistics. R Package. HDSpatialScan

◉ 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.