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MODELING MATERIALS WITH A STRETCHING THRESHOLD
Mathematical Models and Methods in Applied Sciences, 2007We examine the dynamics of materials characterized by the presence of a deformation threshold beyond which no deformation is possible. The class of bodies that we are interested in studying are described by an implicit constitutive relationship between the Cauchy stress and the deformation gradient.
FARINA, ANGIOLO +3 more
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Statistical Properties of Threshold Models
Communications in Statistics - Theory and Methods, 2009This article focuses the attention on the Self Exciting Threshold Autoregressive Moving Average model (SETARMA) proposed in Tong (1983). The stochastic structure of the model is discussed and different specifications are presented. Starting from one of them, we give sufficient conditions for the weak stationarity of the model that are discussed and ...
AMENDOLA, Alessandra +2 more
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A threshold model for punctuated gradualism
Medical Hypotheses, 1985A model for continuous and discontinuous evolutionary change is proposed that accommodates both punctuated equilibrium and phyletic gradualism. Natural selection operating on a gaussian distribution of phenotypes subjected to severe stress will result in a skewing of the normal distribution in the direction of the favoured phenotype.
J A, Kieser, H T, Groeneveld
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Threshold models of mutual insurance
Automation and Remote Control, 2015Game-theoretic models of mutual insurance are considered. Here a player chooses between participating in a mutual insurance fund or not. Player's behavior depends on its risk aversion. Using a scalar coefficient of agent's risk aversion degree, we define utility functions leading to the threshold behavior of agents.
Vladimir V. Breer, Dmitry A. Novikov
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A THRESHOLD MODEL FOR CELL SURVIVAL
International Journal of Biomathematics, 2009This paper deals with a threshold model for gene damages in a cell subject to repair. The damages and repairs are considered to be stochastic events. The status of the cell is partitioned into a number of states representing the number of proliferative gene damages it has suffered.
Rangan, A., Arunachalam, V.
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Stability in Threshold VAR Models
Studies in Nonlinear Dynamics & Econometrics, 2023Abstract This paper investigates the stability of threshold autoregressive models. We review recent research on stability issues from both a theoretical and empirical standpoint. We provide a sufficient condition for the stationarity and ergodicity of threshold autoregressive models by applying the concept of joint spectral radius to ...
Chen, Pu, Semmler, Willi
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Bootstrapping Threshold Autoregressive Models
2002Threshold autoregressive (TAR) models have been widely used for periodic time series, as they are nonlinear models relatively simple to handle being linear in different regions of the state space, see e.g. Tong (1990). One of the main problems regards the decision of the selection of the correct order of a TAR model.
OHRVIK J, SCHOIER, GABRIELLA
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Fixed threshold modeling of an adjustable threshold integrate-and-fire neuronal model
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008An action potential is generated when the membrane potential of a spiking neuron reaches a certain threshold. Although it is well-known that the threshold level of a neuron is not a fixed value and changes with time and neuronal parameters, its variation is often ignored in neuronal modeling due to the complexity of the analysis.
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An Improved Linear Threshold Model
2020Linear threshold model is one of the widely used diffusion models in influence maximization problem. It simulates influence spread by activating nodes for an iterative way. However, the way it makes activation decisions limits the convergence speed of itself.
Xiaohong Zhang +4 more
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A threshold model for respondent heterogeneity
Marketing Letters, 2010Continuous models of respondent heterogeneity assume the existence of a response function where variables of interest are continuously related to explanatory variables. In many situations this assumption may not be true. In this paper we propose an approach of modeling respondent heterogeneity that identifies abrupt changes in the distribution of ...
CHANDUKALA, Sandeep R., +2 more
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