Results 71 to 80 of about 292 (177)

Uncertainty Quantification in Planning Aircraft Ground Movement Operations With Towbarless Robotic Tractors

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta, Alberto Olivares, Ernesto Staffetti   +2 more
wiley   +1 more source

Does ESG Investing Pay off? Comparing the Performance of ESG and Traditional ETFs Across European and US Markets

Business Strategy and the Environment, Volume 35, Issue 3, Page 3561-3606, March 2026.
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro, Andrea Martínez‐Salgueiro, Rubén Lado‐Sestayo, Milagros Vivel‐Búa   +3 more
wiley   +1 more source

Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach

Mathematics
Contaminated air is unhealthy for people to breathe and live in. To maintain the sustainability of clean air, air pollution must be analyzed and controlled, especially after unhealthy events.
Mohd Sabri Ismail, Nurulkamal Masseran, Mohd Almie Alias, Sakhinah Abu Bakar   +3 more
doaj   +1 more source

Joint modelling of annual precipitation maxima over several durations for the construction of intensity–duration–frequency curves

Canadian Journal of Statistics, Volume 54, Issue 1, March 2026.
Abstract Intensity–duration–frequency curves are used by a wide range of professionals to manage the risks related to extreme rainfall. In Canada, these curves are produced by Environment and Climate Change Canada on the basis of Gumbel distributions fitted independently for each accumulation period.
Paul Mathivon, Christian Genest, Jonathan Jalbert   +2 more
wiley   +1 more source

Selection of sparse vine copulas in high dimensions with the Lasso [PDF]

Statistics and Computing, 2018
We propose a novel structure selection method for high dimensional (d > 100) sparse vine copulas. Current sequential greedy approaches for structure selection require calculating spanning trees in hundreds of dimensions and fitting the pair copulas and their parameters iteratively throughout the structure selection process.
Dominik Müller, Claudia Czado
openaire   +3 more sources

Harnessing Deep Learning for Dual Gains in S2S‐Scale Soil Moisture Forecasting and Flash Drought Mechanisms

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Flash drought (FD), so‐named for its abrupt and unforeseen onset, poses a significant challenge to forecasting, as current Numerical Weather Prediction (NWP) shows limited skill in the sub‐seasonal to seasonal timescale (S2S, 2‐week to 2‐month range).
Gui‐bin Yang, Jian‐xia Chang, Lu Zhang, Jong‐hun Kam, Yi Zheng, Yi‐min Wang, Ai‐jun Guo, Arif Hussain, An‐qi Liu   +8 more
wiley   +1 more source

Market Insurance and Risk Pooling in U.S. Crop Insurance

Agricultural Economics, Volume 57, Issue 2, March 2026.
ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan, Yong Liu, A. Ford Ramsey, David J. Leatham   +3 more
wiley   +1 more source

Nonparametric estimation of simplified vine copula models: comparison of methods

Dependence Modeling, 2017
In the last decade, simplified vine copula models have been an active area of research. They build a high dimensional probability density from the product of marginals densities and bivariate copula densities.
Nagler Thomas, Schellhase Christian, Czado Claudia   +2 more
doaj   +1 more source

Flexible methods for species distribution modeling with small samples

Ecography, Volume 2026, Issue 2, February 2026.
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner, Robert L. Richards, Ben S. Carlson, John M. Drake, Cory Merow   +4 more
wiley   +1 more source

Gaussian Process Vine Copulas for Multivariate Dependence

, 2013
Copulas allow to learn marginal distributions separately from the multivariate dependence structure (copula) that links them together into a density function. Vine factorizations ease the learning of high-dimensional copulas by constructing a hierarchy of conditional bivariate copulas. However, to simplify inference, it is common to assume that each of
Lopez-Paz, D., Hernandez-Lobato J., J., Ghahramani, Z.   +2 more
openaire   +4 more sources