Results 91 to 100 of about 77,313 (266)
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R
Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
core
Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Enjoy the Joy of Copulas: With a Package copula
Copulas have become a popular tool in multivariate modeling successfully applied in many fields. A good open-source implementation of copulas is much needed for more practitioners to enjoy the joy of copulas.
Jun Yan
core
Copulas in finance and insurance [PDF]
Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance. They are used
Elisa M. Molanes, Rosario Romera
core
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Quarterly Journal of the Royal Meteorological Society, EarlyView.Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
An M-estimator of multivariate tail dependence.
AN M-ESTIMATOR OF TAIL DEPENDENCE. Extreme value theory is the part of probability and statistics that provides the theoretical background for modeling events that almost never happen.
Krajina, A.
core
Ensemble reliability and the signal‐to‐noise paradox in ECMWF subseasonal forecasts
Quarterly Journal of the Royal Meteorological Society, EarlyView.We derive a general expression for the ratio of predictable components (RPC) in terms of correlation, spread–error ratio, and total variance ratio. Physical constraints on the admissible solutions (i.e., real‐valued and non‐negative variances) provide a mechanism to identify statistically paradoxical sample combinations of reliability and correlation ...
Christopher D. Roberts, Frederic Vitart
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.The single‐scan approach to terrestrial laser scanning (TLS) and the self‐terrain‐normalized form of drone‐based digital aerial photogrammetry (DAP) offer practical options for rapid assessment of the vegetation structure in tropical landscapes.
Magnus Onyiriagwu +7 more
wiley +1 more source
Influence function and asymptotic efficiency of the affine equivariant rank covariance matrix. [PDF]
Visuri et al (2001) proposed and illustrated the use of the affine equivariant rank covariance matrix (RCM) in classical multivariate inference problems.
Croux, Christophe, Ollila, E, Oja, H
core
From Theatre to Transformation: Learning, Action, and Diffusion for SDG2 in Cambodia
Sustainable Development, Volume 34, Issue 3, Page 3322-3339, June 2026.ABSTRACT The arts are envisioned as able to help address the longstanding ‘implementation gap’ between research and realisation of the Sustainable Development Goals (SDGs). For SDG2 (Zero Hunger), Forum Theatre offers a participatory alternative to top‐down interventions, yet its impacts have not been evaluated using rigorous, mixed‐methods that are ...
Brian R. Cook +6 more
wiley +1 more source