Results 131 to 140 of about 114,898,652 (277)

Are Start‐Up Acquisitions by Dominant Firms Driving Innovation or Killing Competition?

open access: yesManagerial and Decision Economics, EarlyView.
ABSTRACT This paper develops a sequential model to examine start‐up acquisitions in markets with network externalities, incorporating a pre‐entry strategic buyout option that allows the incumbent to integrate the start‐up's innovation, followed by post‐entry expenditure on coordination advertising, and defensive pricing strategies.
Adele Whelan, Kate Hynes
wiley   +1 more source

On Tail Index Estimation for Dependent, Heterogenous Data [PDF]

open access: yes
In this paper we analyze the asymptotic properties of the popular distribution tail index estimator by B. Hill (1975) for possibly heavy- tailed, heterogenous, dependent processes.
Jonathan B. Hill
core  

Prediction of Failure in Lithium‐Rich Cathode Half‐Cells Using Early‐Cycle Data

open access: yesMaterials Genome Engineering Advances, EarlyView.
Using a dataset constructed from the performance evolution of Li‐rich cathode materials, a GBDT‐based model was developed for early half‐cell failure prediction. By using only data from the first 50 cycles, the model enables rapid identification of failure tendencies and provides an efficient tool for performance screening and evaluation.
Xiaoya Zhang   +6 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua   +4 more
wiley   +1 more source

Compound Poisson Limit Theorems for Markov Chains

open access: yes, 2013
[[abstract]]This paper establishes a compound Poisson limit theorem for the sum of a sequence of multi-state Markov chains. Our theorem generalizes an earlier one by Koopman for the two-state Markov chain. Moreover, a similar approach is used to derive a
Hsiau, Shoou-Ren
core  

Exponential Stability of Higher Order Fractional Neutral Stochastic Differential Equation Via Integral Contractors

open access: yesMathematical Methods in the Applied Sciences, Volume 48, Issue 6, Page 6425-6446, April 2025.
ABSTRACT The well‐posedness results for mild solutions to the fractional neutral stochastic differential system with Rosenblatt process with Hurst index Ĥ∈12,1$$ \hat{H}\in \left(\frac{1}{2},1\right) $$ is discussed in this article. To demonstrate the results, the concept of bounded integral contractors is combined with the stochastic result and ...
Dimplekumar N. Chalishajar   +3 more
wiley   +1 more source

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