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Non-linear functionals of the Brownian bridge and some applications

, , and . Stochastic Processes and their Applications, 92 (1): 11--30 (March 2001)

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Non-linear functionals of the Brownian bridge and some applications, , and . Stochastic Processes and their Applications, 92 (1): 11--30 (March 2001)Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis., , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 142-153. Springer, (2017)Cluster analysis with cellwise trimming and applications for the robust clustering of curves., , , and . Inf. Sci., (2021)The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure., , and . J. Classif., 35 (1): 71-99 (2018)Time Series, Spectral Densities and Robust Functional Clustering., , , and . Neural Process. Lett., 52 (1): 135-152 (2020)Robust clustering for functional data based on trimming and constraints., , , and . Adv. Data Anal. Classif., 13 (1): 201-225 (2019)CONVERGENCE OF NON-LINEAR FUNCTIONALS OF SMOOTHED EMPIRICAL PROCESSES AND KERNEL DENSITY ESTIMATES, , and . Statistics, 37 (3): 217--242 (2003)On the sequence of partial maxima of some random sequences, and . Stochastic Processes and their Applications, 16 (1): 85--98 (January 1984)Early Classification: A New Heuristic to Improve the Classification Step of K-Means., , , , and . SBBD (Short Papers), page 185-192. SBC, (2012)Fragmentación, Ubicación y Reubicación Dinámica de Datos en Bases de Datos Distribuidas., and . JIDBD, page 111-120. Universidad Carlos III de Madrid, (1997)