On Modeling Wood Formation Using Parametric and Semiparametric Regressions for Count Data. - Henri E. Cuny; Tristan Senga Kiessé (Commun. Stat. Simul. Comput., 2016)

Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data. - Tristan Senga Kiessé; Nabil Zougab; Célestin C. Kokonendji (Comput. Stat., 2016)

Discrete non-parametric kernel estimation for global sensitivity analysis. - Tristan Senga Kiessé; Anne Ventura (Reliab. Eng. Syst. Saf., 2016)

A multivariate non-parametric kernel estimator for global sensitivity analysis. - Lamia Djerroud; Tristan Senga Kiessé; Smail Adjabi (Commun. Stat. Simul. Comput., 2018)

Convergence of sensitivity analysis methods for evaluating combined influences of model inputs. - Majdi Awad; Tristan Senga Kiessé; Zainab Assaghir; Anne Ventura (Reliab. Eng. Syst. Saf., 2019)

Corrigendum to 'Convergence of sensitivity analysis methods for evaluating combined influences of model inputs'[RESS 189 (2019) 109-122]. - Majdi Awad; Tristan Senga Kiessé; Zainab Assaghir; Anne Ventura (Reliab. Eng. Syst. Saf., 2019)

Assessing dependence between soil ecosystem services as a function of weather and soil: Application of vine copula modeling. - Tristan Senga Kiessé; Blandine Lemercier; Michael S. Corson; Yosra Ellili-Bargaoui; Jihad Afassi; Christian Walter (Environ. Model. Softw., 2024)