Threshold models try to explain the consequences of social influence like the spread of fads and opinions. Along with models of epidemics, they constitute a major theoretical framework of social spreading processes. In threshold models on static networks, an individual changes her state if a certain fraction of her neighbors has done the same. When there are strong correlations in the temporal ...

This paper studies models for binary outcome variables that contain a binary endogenous regressor. More specifically, we consider a nonparametric, triangular system of equations with binary dependent variables. The main assumption we impose is a weak separability condition on each equation, or, equivalently, a threshold crossing model on each equation. In this setting, we construct upper and lo...

It has been considered that an amount of calcium elevation determines the synaptic plasticity. However, it has been pointed out that simple application of this principle cannot reproduce the timing dependence of spike-timing-dependent plasticity (STDP) [1, 2]. A few mechanisms were previously proposed to solve the problem [3, 4]. These are possible mechanisms, but it still remains unclear what ...

This paper describes a tool-supported method for the formal verification of timed properties of HTL programs, supported by the automated translation tool HTL2XTA, which extracts from a HTL program (i) an Uppaal model and (ii) a set of properties that state the compliance of the model with certain automatically inferred temporal constraints. These can be manually extended with other temporal pro...

The goal of this paper is to test whether changes in the marketing margin between the farm and the retail prices can result in an asymmetric relationship between the farm and the retail prices in the rice market of Taiwan. By separating the transaction cost variation into two regimes, this paper utilizes a two-regime TVECM with the error correction term serving as the threshold variable to crea...

In spite of precautions to avoid the harmful effects of extreme events, we experience recurrently phenomena that overcome the preventive barriers. These barriers usually increase drastically right after the occurrence of such extreme events, but steadily decay in their absence. In this paper we consider a simple model that mimics the evolution of the protection barriers to study the efficiency ...

background: investigators frequently encounter continuous outcomes with plenty of values clumped at zero called semi-continuous outcomes. the gensini score, one of the most widely used scoring systems for expressing coronary angiographic results, is of this type. the aim of this study was to apply two statistical approaches based on the categorization and original scale of the gensini score to ...

background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...

This paper studies inference about the values of the parameters in the threshold model in a generalized method of moments (GMM) framework. First, we establish that the extensively studied least squares method leads to substantially oversized tests and confidence intervals when the coeffi cient change is not large. Second, by re-ordering the data to recast the threshold model as a structural bre...