Estimating discrete Markov models from various incomplete data schemes. - Alberto Pasanisi; Shuai Fu; Nicolas Bousquet 002 (Comput. Stat. Data Anal., 2012)

On the Practical Interest of Discrete Inverse Pólya and Weibull-1 Models in Industrial Reliability Studies. - Alberto Pasanisi; Côme Roero; Emmanuel Remy; Nicolas Bousquet 002 (Qual. Reliab. Eng. Int., 2015)

An innovative solution for breast cancer textual big data analysis. - Nicolas Thiebaut; Antoine Simoulin; Karl Neuberger; Issam Ibnouhsein; Nicolas Bousquet 002; Nathalie Reix; Sébastien Molière; Carole Mathelin (CoRR, 2017)

Approximation of Limit State Surfaces in Monotonic Monte Carlo Settings, with Applications to Classification. - Nicolas Bousquet 002; Thierry Klein; Vincent Moutoussamy (SIAM/ASA J. Uncertain. Quantification, 2018)

Guiding Measurement Protocols of Connected Medical Devices Using Digital Twins: A Statistical Methodology Applied to Detecting and Monitoring Lymphedema. - Loïc Béthencourt; Walid Dabachine; Vincent Dejouy; Zakaria Lalmiche; Karl Neuberger; Issam Ibnouhsein; Sandrine Chéreau; Carole Mathelin; Nicolas Savy; Philippe Saint-Pierre; Nicolas Bousquet 002 (IEEE Access, 2021)

Lymphedema measurements (including periods of curative treatments). - Nicolas Bousquet 002; Carole Mathelin (IEEE DataPort, 2022)

From free-text electronic health records to structured cohorts: Onconum, an innovative methodology for real-world data mining in breast cancer. - Antoine Simoulin; Nicolas Thiebaut; Karl Neuberger; Issam Ibnouhsein; Nicolas J.-B. Brunel; Raphaël Viné; Nicolas Bousquet 002; Jules Latapy; Nathalie Reix; Sébastien Molière; Massimo Lodi; Carole Mathelin (Comput. Methods Programs Biomed., 2023)

Hoeffding decomposition of functions of random dependent variables. - Marouane Il Idrissi; Nicolas Bousquet 002; Fabrice Gamboa; Bertrand Iooss; Jean-Michel Loubes (J. Multivar. Anal., 2025)