spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. in this paper we consider daily averages of troposphere ozone over tehran city. for eliminating the trend of data, a dynamic linear model is used, then some featu...

conclusions physicians should be aware of the signs and symptoms of different pain sources to prevent misdiagnosis and maltreatment. introduction fracture of the styloid process (sp) of the temporal bone is a rare traumatic injury in normal individuals who are not suffering from eagle’s syndrome. diagnosis and management of this problem requires comprehensive knowledge about its signs and sympt...

background and aim: this study investigated whether objective temporal processing paradigms including voice-onset-time, speech-in-noise, and amplitude modulated-broad-band noise (am-bbn) are sensitive to disrupted temporal processing in elderly listeners with normal hearing (age-related-temporal processing deficit). methods: we evaluated 15 adults aged 64–80 years using behavioural measures of ...

Point process modeling is gaining increasing attention, as point type data are emerging in a large variety of scientific applications. In this article, motivated by neuronal spike trains study, we propose novel regression model, where both the response and predictor can be high-dimensional process. We model effects through conditional intensities using set basis transferring functions convoluti...

Reversible debuggers help programmers to quickly find the causes of misbehaviours in concurrent programs. These can be founded on well-studied theory causal-consistent reversibility, which allows one undo any action provided that its consequences are undone beforehand. Till now, reversibility never considered time, a key aspect real world applications. Here, we study interplay between and time ...

We consider regression for response and covariates which are temporal processes observed over intervals. A functional generalised linear model is proposed which includes extensions of standard models in multi-state survival analysis. Simple nonparametric estimators of time-indexed parameters are developed using ‘working independence’ estimating equations and are shown to be uniformly consistent...

We investigate the nonequilibrium critical behavior of contact process with deterministic aperiodic temporal disorder implemented by choosing healing or infection rates according to a family sequences based on quasiperiodic Fibonacci sequence. This allows us gauge fluctuations via wandering exponent $\omega$ and put our work in context Kinzel--Vojta--Dickman criterion for relevance models. By m...