Results 61 to 70 of about 68,879 (310)
On Stationary Points of Mean Nonexpansive Set-valued Mappings in Banach Spaces
The fixed point theory of the set-valued mappings has important applications in many branches such as modern variation problems,optimization problems and economic equilibrium problems,and it has been an essential part of nonlinear functional analysis ...
CHEN Li-li, GAO Lu, ZHOU Jing
doaj +1 more source
On Asymptotic Theory for ARCH (∞) Models
Autoregressive conditional heteroskedasticity (ARCH)() models nest a wide range of ARCH and generalized ARCH models including models with long memory in volatility. Existing work assumes the existence of second moments. However, the fractionally integrated generalized ARCH model, one version of a long memory in volatility model, does not have finite ...
Christian M. Hafner, Arie Preminger
openaire +3 more sources
Asymptotic symmetries in p-form theories [PDF]
Abstract We consider (p + 1)-form gauge fields in flat (2p + 4)-dimensions for which radiation and Coulomb solutions have the same asymptotic fall-off behavior. Imposing appropriate fall-off behavior on fields and adopting a Maxwell-type action, we construct the boundary term which renders the action principle well-defined in the ...
Hamid Afshar +2 more
openaire +3 more sources
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott +5 more
wiley +1 more source
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers. These models are influenced by assumptions like individual homogeneity.
Ali Zare +5 more
doaj
Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors [PDF]
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedastic errors, have become increasingly popular in the economics and finance literature.
Michael McAleer +2 more
core
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution
The reliability of the multicomponent stress–strength system was investigated under the two-parameter Burr X distribution model. Based on the structure of the system, the type II censored sample of strength and random sample of stress were obtained for ...
Yuhlong Lio +3 more
doaj +1 more source
Asymptotic Results with Generalized Estimating Equations for Longitudinal data II [PDF]
We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical inference for such models.
Ioana Schiopu-Kratina, R. M. Balan
core
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source

