Results 111 to 120 of about 1,035,375 (308)
On the Mechanics of Economic Convergence [PDF]
In macroeconomic dynamic models the speed at which output converges to its steady state is of outstanding interest. Theoretical investigations usually focus on the asymptotic speed of convergence only.
Thomas M. Steger
core
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source
Convergence of asymptotic systems with unbounded delays with applications to Cohen-Grossberg neural networks and Lotka-Volterra systems [PDF]
This thesis studies the dynamics of two prominent classes of models: Cohen-Grossberg neural network (CGNN) and Lotka-Volterra ecological systems. Firstly, we investigate the global exponential stability and the existence of a periodic solution of a ...
Elmwafy, Ahmed Osama Mohamed Sayed Sayed
core
Physical Reservoir Computing using a Cellulose Nanofiber Hydrogel for Intelligent Green Electronics
Cellulose nanofiber (CNF) hydrogel serves as a biodegradable physical reservoir computer capable of electronic input and output. The CNF–water network enables sustainable green electronics that activate upon contact with liquid water, providing a degradable, robust, and field‐deployable computing element suitable for environmentally compatible device ...
Takeshi Kato +3 more
wiley +1 more source
Convergence of Tight Asymptotic Martingales in a Banach Space.
Summary: We show that an \(L^1\)-bounded martingale \((X_n,F_n, n\geq 1)\) taking values in a Banach space \(E\) converges almost surely iff a family \((P_{X_n})\) of distributions of \((X_n)\) is tight. An \(L^1\)-bounded tight asymptotic martingale (amart) need not converge a.s., although it always converges in probability and, if \(E^*\) is ...
openaire +3 more sources
Maximal uniform convergence rates in parametric estimation problems [PDF]
This paper considers parametric estimation problems with i.i.d. data. It focusses on rate-effciency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality criterion, largely unexplored in parametric ...
Daniel McFadden, Walter Beckert
core
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
Asymptotics and Convergence for the Complex Monge-Ampère Equation
We study the asymptotics of complete Kaehler-Einstein metrics on strictly pseudoconvex domains in C^n and derive a convergence theorem for solutions to the corresponding Monge-Ampere equation. If only a portion of the boundary is analytic, the solutions satisfy Gevrey type estimates for tangential derivatives.
Han, Qing, Jiang, Xumin
openaire +3 more sources
Limit Theory for Moderate Deviations from a Unit Root [PDF]
An asymptotic theory is given for autoregressive time series with a root of the form rho_{n} = 1+c/n^{alpha}, which represents moderate deviations from unity when alpha in (0,1).
Peter C.B. Phillips, Tassos Magdalinos
core
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source

