Zobrazeno 1 - 10
of 977
pro vyhledávání: '"Fernandez, Mario"'
We define a natural extension of pluriclosed flow aiming at constructing solutions of the Hull-Strominger system. We give several geometric formulations of this flow, which yield a series of a priori estimates for the flow and also for the Hull-Strom
Externí odkaz:
http://arxiv.org/abs/2408.11674
Detecting out-of-distribution (OOD) inputs is critical for safely deploying deep learning models in real-world scenarios. In recent years, many OOD detectors have been developed, and even the benchmarking has been standardized, i.e. OpenOOD. The numb
Externí odkaz:
http://arxiv.org/abs/2406.15104
We introduce the coupled instanton equations for a metric, a spinor, a three-form, and a connection on a bundle, over a spin manifold. Special solutions in dimensions $6$ and $7$ arise, respectively, from the Hull--Strominger and the heterotic $\oper
Externí odkaz:
http://arxiv.org/abs/2404.12937
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics (2024), 29, 56-72
A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that combines conditional simulation techniques
Externí odkaz:
http://arxiv.org/abs/2403.19757
Publikováno v:
TEST (2020), 29, 728-749
The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a $L_2$-distance comparing a parametric and a nonparametric regression estimato
Externí odkaz:
http://arxiv.org/abs/2402.00512
Publikováno v:
Bagging cross-validated bandwidths with application to Big Data. Biometrika (2021), 108(4), 981-988
Hall and Robinson (2009) proposed and analyzed the use of bagged cross-validation to choose the bandwidth of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary cross-validation, and hence leads to
Externí odkaz:
http://arxiv.org/abs/2401.17987
Publikováno v:
Stochastic Environmental Research and Risk Assessment (2018), 32, 675-684
In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear regression estimator, with t
Externí odkaz:
http://arxiv.org/abs/2401.17770
Publikováno v:
Stochastic Environmental Research and Risk Assessment (2021), 35, 923-939
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave analysis is the study of height and direction waves, being direction valu
Externí odkaz:
http://arxiv.org/abs/2401.17754
Publikováno v:
Journal of Flood Risk Management (2018), 11(S2), S902-S915
Time series and extreme value analyses are two statistical approaches usually applied to study hydrological data. Classical techniques, such as ARIMA models (in the case of mean flow predictions), and parametric generalised extreme value (GEV) fits a
Externí odkaz:
http://arxiv.org/abs/2401.17422