Zobrazeno 1 - 10
of 223
pro vyhledávání: '"A. Lagnoux"'
Autor:
M. A. Serge, F. Mazier, R. Fyfe, M.-J. Gaillard, T. Klein, A. Lagnoux, D. Galop, E. Githumbi, M. Mindrescu, A. B. Nielsen, A.-K. Trondman, A. Poska, S. Sugita, J. Woodbridge, D. Abel-Schaad, C. Åkesson, T. Alenius, B. Ammann, S. T. Andersen, R. Scott Anderson, M. Andrič, L. Balakauskas, L. Barnekow, V. Batalova, J. Bergman, H. John B. Birks, L. Björkman, A. E. Bjune, O. Borisova, N. Broothaerts, J. Carrion, C. Caseldine, J. Christiansen, Q. Cui, A. Currás, S. Czerwiński, R. David, A. L. Davies, R. De Jong, F. Di Rita, B. Dietre, W. Dörfler, E. Doyen, K. J. Edwards, A. Ejarque, E. Endtmann, D. Etienne, E. Faure, I. Feeser, A. Feurdean, E. Fischer, W. Fletcher, F. Franco-Múgica, E. D. Fredh, C. Froyd, S. Garcés-Pastor, I. García-Moreiras, E. Gauthier, G. Gil-Romera, P. González-Sampériz, M. J. Grant, R. Grindean, J. N. Haas, G. Hannon, A.-J. Heather, M. Heikkilä, K. Hjelle, S. Jahns, N. Jasiunas, G. Jiménez-Moreno, I. Jouffroy-Bapicot, M. Kabailienė, I. M. Kamerling, M. Kangur, M. Karpińska-Kołaczek, A. Kasianova, P. Kołaczek, P. Lagerås, M. Latalowa, J. Lechterbeck, C. Leroyer, M. Leydet, M. Lindbladh, O. Lisitsyna, J.-A. López-Sáez, John Lowe, R. Luelmo-Lautenschlaeger, E. Lukanina, L. Macijauskaitė, D. Magri, D. Marguerie, L. Marquer, A. Martinez-Cortizas, I. Mehl, J. M. Mesa-Fernández, T. Mighall, A. Miola, Y. Miras, C. Morales-Molino, A. Mrotzek, C. Muñoz Sobrino, B. Odgaard, I. Ozola, S. Pérez-Díaz, R. P. Pérez-Obiol, C. Poggi, P. Ramil Rego, M. J. Ramos-Román, P. Rasmussen, M. Reille, M. Rösch, P. Ruffaldi, M. Sanchez Goni, N. Savukynienė, T. Schröder, M. Schult, U. Segerström, H. Seppä, G. Servera Vives, L. Shumilovskikh, H. W. Smettan, M. Stancikaite, A. C. Stevenson, N. Stivrins, I. Tantau, M. Theuerkauf, S. Tonkov, W. O. van der Knaap, J. F. N. van Leeuwen, E. Vecmane, G. Verstraeten, S. Veski, R. Voigt, H. Von Stedingk, M. P. Waller, J. Wiethold, K. J. Willis, S. Wolters, V. P. Zernitskaya
Publikováno v:
Land, Vol 12, Iss 5, p 986 (2023)
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosyste
Externí odkaz:
https://doaj.org/article/df11e3375ea84fa1b270af3f74f6e9b8
In this note, we are interested in the asymptotic efficiency of Sobol' indices esti-mators. After recalling the basis of asymptotic efficiency, we compute the efficientinfluence functions for Sobol' indices in two different contexts: the Pick-Freeze
Externí odkaz:
http://arxiv.org/abs/2407.15468
This work explores the dimension reduction problem for Bayesian nonparametric regression and density estimation. More precisely, we are interested in estimating a functional parameter $f$ over the unit ball in $\mathbb{R}^d$, which depends only on a
Externí odkaz:
http://arxiv.org/abs/2403.03540
Let $W$ be a nonnegative random variable with expectation $1$. For all $r \geqslant 2$, we consider the total mass $Z_r^\infty$ of the associated Mandelbrot multiplicative cascade in the $r$-ary tree. For all $n \geqslant 1$, we also consider the tot
Externí odkaz:
http://arxiv.org/abs/2310.14679
In this work, we develop an approach mentioned by da Veiga and Gamboa in 2013. It consists in extending the very interestingpoint of view introduced in \cite{gine2008simple} to estimate general nonlinear integral functionals of a density on the real
Externí odkaz:
http://arxiv.org/abs/2303.17832
Autor:
Bachoc, François, Lagnoux, Agnès
We provide posterior contraction rates for constrained deep Gaussian processes in non-parametric density estimation and classication. The constraints are in the form of bounds on the values and on the derivatives of the Gaussian processes in the laye
Externí odkaz:
http://arxiv.org/abs/2112.07280
Asymptotics deviation probabilities of the sum S n = X 1 + $\times$ $\times$ $\times$ + X n of independent and identically distributed real-valued random variables have been extensively investigated , in particular when X 1 is not exponentially integ
Externí odkaz:
http://arxiv.org/abs/2010.09276
Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on computer codes the output of which is a cumulative distribution function a
Externí odkaz:
http://arxiv.org/abs/2007.12378
Asymptotics deviation probabilities of the sum S n = X 1 + $\times$ $\times$ $\times$ + X n of independent and identically distributed real-valued random variables have been extensively investigated, in particular when X 1 is not exponentially integr
Externí odkaz:
http://arxiv.org/abs/2007.08164
We propose a new statistical estimation framework for a large family of global sensitivity analysis methods. Our approach is based on rank statistics and uses an empirical correlation coefficient recently introduced by Sourav Chatterjee. We show how
Externí odkaz:
http://arxiv.org/abs/2003.01772