Results 151 to 160 of about 44,033 (313)
A Paradigm Shift from Production Function to Production Copula: Statistical Description of Production Activity of Firms [PDF]
Hiroshi Iyetomi +4 more
openalex +1 more source
In this study, we present a detailed description of the cranial development of Inpaichthys kerri (Characiformes: Acestrorhamphidae), highlighting important topics such as pedomorphic characters and their relationship with ontogeny and phylogeny, as well as ossification sequences unique to the species. Abstract The study of development provides valuable
Yasmim De Santana Santos +1 more
wiley +1 more source
Abstract Integrating the attention‐based view with the strategic leadership interfaces perspective, we propose a theoretical model of situational urgency mechanisms influencing the allocation of CEOs' attention towards responsive actions. Specifically, we theorize upon the role of humility, which leads CEOs towards embracing interfaces and makes them ...
Petrit Ademi +2 more
wiley +1 more source
Improved Frechet bounds and model-free pricing of multi-asset options
Improved bounds on the copula of a bivariate random vector are computed when partial information is available, such as the values of the copula on a given subset of $[0,1]^2$, or the value of a functional of the copula, monotone with respect to the ...
Tankov, Peter
core
Ripples in the Pond: Product Portfolio Reconfiguration and Dynamism in the Competitive Environment
Abstract The management literature often overlooks how firms can alter the competitive landscape without introducing groundbreaking changes or innovations. Applying the awareness, motivation, and capability framework from competitive dynamics, we posit that as a firm intensifies its product portfolio reconfiguration, its rivals become increasingly ...
Christopher Jung +2 more
wiley +1 more source
Distribution of the Joint Survival Function of an Archimedean Copula [PDF]
Magloire Loudegui Djimdou +2 more
openalex +1 more source
Markov Determinantal Point Process for Dynamic Random Sets
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
Multiple Changepoint Detection for Non‐Gaussian Time Series
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund +3 more
wiley +1 more source

