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Bruno Scarpa
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2020 – today
- 2023
- [j6]Emanuele Aliverti, Reinaldo Boris Arellano-Valle, Fereshte Kahrari, Bruno Scarpa:
A flexible two-piece normal dynamic linear model. Comput. Stat. 38(4): 2075-2096 (2023) - 2021
- [i1]Anna Stakia, Tommaso Dorigo, Giovanni Banelli, Daniela Bortoletto, Alessandro Casa, Pablo de Castro, Christophe Delaere, Julien Donini, Livio Finos, Michele Gallinaro, Andrea Giammanco, Alexander Held, Fabricio Jiménez Morales, Grzegorz Kotkowski, Seng Pei Liew, Fabio Maltoni, Giovanna Menardi, Ioanna Papavergou, Alessia Saggio, Bruno Scarpa, Giles C. Strong, Cecilia Tosciri, João Varela, Pietro Vischia, Andreas Weiler:
Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider. CoRR abs/2105.07530 (2021)
2010 – 2019
- 2018
- [j5]Massimiliano Russo, Daniele Durante, Bruno Scarpa:
Bayesian inference on group differences in multivariate categorical data. Comput. Stat. Data Anal. 126: 136-149 (2018) - 2014
- [j4]Daniele Durante, Bruno Scarpa, David B. Dunson:
Locally adaptive factor processes for multivariate time series. J. Mach. Learn. Res. 15(1): 1493-1522 (2014) - [j3]N. Balakrishnan, A. Capitanio, Bruno Scarpa:
A test for multivariate skew-normality based on its canonical form. J. Multivar. Anal. 128: 19-32 (2014) - 2013
- [c1]Daniele Durante, Bruno Scarpa, David B. Dunson:
Locally Adaptive Bayesian Multivariate Time Series. NIPS 2013: 1664-1672 - 2012
- [j2]N. Balakrishnan, Bruno Scarpa:
Multivariate measures of skewness for the skew-normal distribution. J. Multivar. Anal. 104(1): 73-87 (2012) - 2011
- [r1]Bruno Scarpa:
Data Mining. International Encyclopedia of Statistical Science 2011: 336-339
2000 – 2009
- 2005
- [j1]Bruno Scarpa:
Non parametric space-time modeling of SO2 in presence of many missing data. Stat. Methods Appl. 14(1): 67-82 (2005)
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