Results 61 to 70 of about 1,073,267 (191)

Increasing Interdependence of Multivariate Distributions [PDF]

Orderings of interdependence among random variables are useful in many economic contexts, for example, in assessing ex post inequality under uncertainty; in comparing multidimensional inequality; in valuing portfolios of assets or insurance policies; and
Bruno Strulovici, Margaret Meyer
core  

Area‐restricted search under realistic constraints

Oikos, EarlyView.
Abstract Area‐restricted search (ARS) is one of the most influential and widely used concepts in foraging theory, capturing a simple rule by which animals intensify local search following a resource encounter. Because ARS performs well in many spatially structured environments, it serves as a basic model for interpreting movement patterns across taxa ...
Inon Scharf, Arik Dorfman
wiley   +1 more source

Stochastic inequalities involving past extropy of order statistics and past extropy of record values

AIMS Mathematics
<abstract><p>Recently, extropy has emerged as an alternative measure of uncertainty instead of entropy. When it comes to quantifying uncertainty regarding the remaining lifetime of a component, entropy has proven to be less effective. Therefore, the concept of residual entropy was introduced to address this limitation.
Mansour Shrahili, Mohamed Kayid, Mhamed Mesfioui   +2 more
openaire   +2 more sources

Drivers of tropical rainforest biomass in Papua New Guinea: large trees and taxonomic diversity dominate over other drivers

Oikos, EarlyView.
Tropical forests are among the most diverse and productive ecosystems globally, with aboveground biomass (AGB) storing a substantial portion of terrestrial carbon. While biodiversity, composition, and forest structure have been shown to affect AGB, their relative roles, interactions, and direct and indirect effects, with consideration of tree‐size ...
Aleš Lisner, Jan Lepš, Vojtěch Novotný, Phil T. Butterill, Lucie Houdková, Kenneth Molem, Jonah Philip, George D. Weiblen, Pavel Fibich   +8 more
wiley   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

Gradient‐ and Newton‐Based Unit Vector Extremum Seeking Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes new methods for stable and efficient convergence in multivariable extremum seeking control (ESC) using sliding mode techniques. Inspired by classical sliding modes and finite‐time control, the approach integrates these ideas into gradient‐ and Newton‐based ESC schemes with sinusoidal perturbations.
Roberto Luo, Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstic   +3 more
wiley   +1 more source

Local Dependence, Stochastic Inequalities and Orderings of Distributions with Applications

, 2011
In this talk, local dependence and stochastic orderings of random variables or their distribution functions are presented. Families of distribution functions satisfying the various notions of local dependence are presented.
Oluyede, Broderick O.
core  

Observer Design for Vector Nonlinear Systems With Applications to Autonomous Vehicles and Robots

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper focuses on observer design for nonlinear systems involving functions of vector arguments. The output equations and the process dynamics are both composed of nonlinear functions of nonseparable multivariable states. The partial derivatives of the nonlinear functions are assumed to be bounded.
Gaurav Sharma, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

Utilitarianism or Welfarism: Does it Make a Difference? [PDF]

We show that it is possible to reconcile the utilitarian and welfarist principles under the requirement of unanimity provided that the set of profiles over which the consensus is attained is rich enough. More precisely, we identify a closedness condition
Nicolas Gravel, Patrick Moyes
core  

Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Distributed model predictive control (DMPC) is a cornerstone for coordinating multi‐agent systems, yet simultaneously ensuring data privacy, handling unknown nonlinear dynamics, and managing heterogeneous constraints remains an open challenge.
Mahmood Mazare, Hossein Ramezani
wiley   +1 more source