Results 91 to 100 of about 553,591 (343)
We adopt a regime switching approach to study concrete financial time series with particular emphasis on their volatility characteristics considered in a space-time setting.
Luca Di Persio, Samuele Vettori
doaj +1 more source
ABSTRACT Start‐up CEOs are usually more aligned with the interests of the venture board compared to CEOs in legacy firms, and therefore it is usual to conclude that the traditional agency problem is lower in ventures. In this article, it is argued that this is only half of the story, and that the agency problem is reversed in early ventures such that ...
Glenn Kristiansen
wiley +1 more source
Inference and forecasting phase shift regime of COVID-19 sub-lineages with a Markov-switching model. [PDF]
Noh E, Hong J, Yoo J, Jung J.
europepmc +1 more source
Hierarchical hidden Markov structure for dynamic correlations: the hierarchical RSDC model. [PDF]
This paper presents a new multivariate GARCH model with time-varying conditional correlation structure which is a generalization of the Regime Switching Dynamic Correlation (RSDC) of Pelletier (2006).
Philippe Charlot, Vêlayoudom Marimoutou
core
ABSTRACT Background Lebrikizumab is approved to treat patients with moderate‐to‐severe atopic dermatitis (AD). Objectives This study evaluated the 16‐week efficacy outcomes of lebrikizumab in adults and adolescents with severe AD in ADvocate trials who would be eligible for treatment based on South Korean reimbursement‐like criteria. Methods This was a
Chong Hyun Won +11 more
wiley +1 more source
Robot introspection aids robots to understand what they do and how they do it. Previous robot introspection techniques have often used parametric hidden Markov models or supervised learning techniques, implying that the number of hidden states or classes
Hongmin Wu, Yisheng Guan, Juan Rojas
doaj +1 more source
Predicting the incidence of brucellosis in Western Iran using Markov switching model. [PDF]
Mohammadian-Khoshnoud M +3 more
europepmc +1 more source
Bayesian Analysis of Markov Switching Vector Error Correction Model [PDF]
This paper introduces a Bayesian approach to a Markov switching vector error correction model that allows for regime shifts in the intercept terms, the lag terms, the adjustment terms and the variance-covariance matrix.
Sugita, Katsuhiro
core
Hybrid Reaction–Diffusion Epidemic Models: Dynamics and Emergence of Oscillations
ABSTRACT In this paper, we construct a hybrid epidemic mathematical model based on a reaction–diffusion system of the SIR (susceptible‐infected‐recovered) type. This model integrates the impact of random factors on the transmission rate of infectious diseases, represented by a probabilistic process acting at discrete time steps.
Asmae Tajani +2 more
wiley +1 more source
A New Regime Switching Model with State–Varying Endogeneity
In this paper, we propose a state-varying endogenous regime switching model (the SERS model), which includes the endogenous regime switching model by Chang et al., the CCP model, as a special case. To estimate the unknown parameters in the SERS model, we
Tingting Cheng, Jiti Gao, Yayi Yan
doaj +1 more source

