Zobrazeno 1 - 10 of 83 pro vyhledávání: '"Bruno Sansó"'
1
Akademický článek
Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models
Autor: Peter Trubey, Bruno Sansó
Publikováno v: Entropy, Vol 26, Iss 4, p 335 (2024)
We consider a constructive definition of the multivariate Pareto that factorizes the random vector into a radial component and an independent angular component. The former follows a univariate Pareto distribution, and the latter is defined on the sur
Externí odkaz: https://doaj.org/article/1e23eabb5e0245cb8be889d27ab6aa7e
Zobrazit plný text záznamu
2
Akademický článek
BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces
Autor: Devin Francom, Bruno Sansó
Publikováno v: Journal of Statistical Software, Vol 94, Iss 1, Pp 1-36 (2020)
We present the R package BASS as a tool for nonparametric regression. The primary focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and performing global sensitivity analyses of these models. The BASS framework is s
Externí odkaz: https://doaj.org/article/146de069b5b4451b9d86cc8e1087acb6
Zobrazit plný text záznamu
3
Akademický článek
Oceanic influence on extreme rainfall trends in the north central coast of Venezuela: present and future climate assessments
Autor: Lelys Guenni, Carlos Nobre, José Marengo, Gabriel Huerta, Bruno Sansó
Publikováno v: Bulletin of Computational Applied Mathematics, Vol 1, Iss 2, Pp 7-45 (2013)
Extreme events are an important part of climate variability and their intensity and persistence are often modulated by large scale climatic patterns which might act as forcing drivers affecting their probability of occurrence. When the North Tropical
Externí odkaz: https://doaj.org/article/7b6afdffbd154909990b837f0f61a1a5
Zobrazit plný text záznamu
7
On Construction and Estimation of Stationary Mixture Transition Distribution Models
Autor: Bruno Sansó, Athanasios Kottas, Xiaotian Zheng
Publikováno v: Journal of Computational and Graphical Statistics. 31:283-293
Mixture transition distribution time series models build high-order dependence through a weighted combination of first-order transition densities for each one of a specified number of lags. We present a framework to construct stationary transition mi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44496a6c7ff1ae49512127c95eb4a7d2
https://doi.org/10.1080/10618600.2021.1981342
Zobrazit plný text záznamu
8
Distributed nearest-neighbor Gaussian processes
Autor: Bruno Sansó, Isabelle Grenier
Publikováno v: Communications in Statistics - Simulation and Computation. :1-13
While many statistical approaches have tackled the problem of large spatial datasets, the issues arising from costly data movement and data storage have long been set aside. Having easy access to t...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3956aa4553cebf2c69cb9b15633bc3fe
https://doi.org/10.1080/03610918.2021.1921798
Zobrazit plný text záznamu
10
BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces
Autor: Bruno Sansó, Devin Francom
Publikováno v: Journal of Statistical Software, Vol 94, Iss 1, Pp 1-36 (2020)
Journal of Statistical Software; Vol 94 (2020); 1-36
We present the R package BASS as a tool for nonparametric regression. The primary focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and performing global sensitivity analyses of these models. The BASS framework is s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::873c6fbc0aa8bbe8ece3bba24be3c883
https://www.jstatsoft.org/index.php/jss/article/view/2988
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje