Results 71 to 80 of about 289 (177)

Truncation of vine copulas using fit indices

open access: yesJournal of Multivariate Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eike C. Brechmann, Harry Joe
openaire   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

Discovering Low-Dimensional Descriptions of Multineuronal Dependencies

open access: yesEntropy, 2023
Coordinated activity in neural populations is crucial for information processing. Shedding light on the multivariate dependencies that shape multineuronal responses is important to understand neural codes.
Lazaros Mitskopoulos, Arno Onken
doaj   +1 more source

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

open access: yesBusiness 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   +3 more
wiley   +1 more source

Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference.

open access: yesPLoS ONE, 2020
An important feature of Bayesian statistics is the opportunity to do sequential inference: the posterior distribution obtained after seeing a dataset can be used as prior for a second inference.
Bram Thijssen, Lodewyk F A Wessels
doaj   +1 more source

THE INTEGRATION OF PIGMEAT MARKETS IN THE EU. EVIDENCE FROM A REGULAR MIXED VINE COPULA [PDF]

open access: yesReview of Agricultural and Applied Economics, 2016
The objective of this work is to investigate the degree of integration of national pigmeat markets in the EU. This is pursued using monthly wholesale prices from seven major markets and the statistical tool of mixed R-vine copulas.
Vasilis GRIGORIADIS   +2 more
doaj   +1 more source

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

open access: yesCanadian 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   +2 more
wiley   +1 more source

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

open access: yesWater 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   +8 more
wiley   +1 more source

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

open access: yesMathematics
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   +3 more
doaj   +1 more source

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

open access: yesStatistics 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

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