Results 101 to 110 of about 6,556,524 (264)
ABSTRACT As sustainability transitions accelerate, firms increasingly engage in innovation ecosystems to pursue disruptive sustainable innovation (DSI). Nevertheless, empirical understanding regarding how innovation ecosystem coopetition—simultaneous cooperation and competition among interdependent actors—translates into sustainability‐oriented ...
Jin‐Sup Jung, Min‐Jae Lee
wiley +1 more source
CLTs and asymptotic variance of time-sampled Markov chains [PDF]
For a Markov transition kernel P and a probability distribution μ on nonnegative integers, a time-sampled Markov chain evolves according to the transition kernel Pμ = Σkμ(k)Pk.
Łatuszyński, Krzysztof +3 more
core +1 more source
ABSTRACT Circular battery strategies have become of major interest focusing on material availability while increasing economic and environmental benefits. In this context of circular economy, one main challenge for automotive original equipment manufacturers is that the most profitable handling strategy along the lifecycle is unknown.
Michael Lieder +2 more
wiley +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Power spectral density and the brain
Abstract Time series from M/EEG (magneto/electroencephalography) and ECoG (electrocorticography) recordings are common sources of information about brain function. The power spectral density (PSD) preserves much of this information, up to second order. In the current decade, a burst of brain diagnostics using the slope of log(PSD) has appeared.
Priscilla E. Greenwood +2 more
wiley +1 more source
The work is devoted to the local moment problem, which consists in finding of non-decreasing functions on the real axis having given first 2n+1; n = 0,1,2,...; power moments on the whole axis and also 2m+1 first power moments on a certain finite axis ...
Tkachenko Gorski, Igor Mijail +1 more
core +1 more source
Vine copula knockoffs for variable selection in gene expression studies
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina +3 more
wiley +1 more source
Self-triggered control of multi-agent systems under Markov switching topologies and unknown states
In recent years, multi-agent systems (MASs) have been applied in many practical fields, including multi-vehicle and multi-robot systems. Research on consensus control of MASs has also received increasing attention.
Fang WANG, Yimeng LIU, Zhen HU
doaj +1 more source
Asymptotic Expansions for Moments of Hitting Times for Nonlinearly Perturbed Semi-Markov Processes
In Chapter 3, we introduce a model of perturbed semi-Markov processes, formulate basic perturbation conditions, describe a one-step time-space screening procedure of phase space reduction for perturbed semi-Markov processes, introduce hitting times, and ...
Sergei Silvestrov +3 more
core +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source

