The influence of the global average signal (GAS) on functional-magnetic resonance imaging (fMRI)-based resting-state functional connectivity is a matter of ongoing debate. The global average fluctuations increase the correlation between functional systems beyond the correlation that reflects their specific functional connectivity. Hence, removal of the GAS is a common practice for facilitating ...

In this article, we develop new closed-form asymptotic approximations for the average symbol error rate (ASER) and the outage probability performance metrics of digital communication systems impaired by additive white Gaussian noise and fading. Specifically, our expressions generalize some of the known asymptotic results to a wide range of fading environments and digital modulation schemes. We ...

In this paper we consider the issues involved in model order selection for processes observed with additive Gaussian noise. In particular, we discuss conditional maximum likelihood estimation of noisy autoregressive models and provide an estimator that takes care of the observational noise. The estimator is weakly consistent, can be computed in only O n steps and can be used in the automatic mo...

In a regression model with time series data, whether the regressors are cointegrated or not, the structure of X’X is usually characterized by multicollinearity. An additive model is postulated and estimated via the backfitting algorithm. The model sequentially smooth the residuals by entering one variable-at-a-time into the equation until the residuals behave randomly or all the effects of the ...

Recent evidences of the impact of persistent modes of regional climate variability, coupled with the intensification of human activities, have led hydrologists to study flood regime without applying the hypothesis of stationarity. In this study, a framework for flood frequency analysis is developed on the basis of a tool that enables us to address the modelling of non-stationary time series, na...

We study general aspects of active motion with fluctuations in the speed and the direction of motion in two dimensions. We consider the case in which fluctuations in the speed are not correlated to fluctuations in the direction of motion, and assume that both processes can be described by independent characteristic time scales. We show the occurrence of a complex transient that can exhibit a se...

In the current study, we examined the influence of schema consistency on contradictory and additive misinformation. Sixty-four participants were shown a series of still photographs of common scenes (e.g., a kitchen), were later exposed to narratives containing misinformation, and were then tested on their memory of the photographic scenes. In addition, participants were asked to reflect on thei...

The backfitting algorithm commonly used in estimating additive models is used to decompose the component shares explained by a set of predictors on a dependent variable in the presence of linear dependencies (multicollinearity) among the predictors. Multicollinearity of independent variables affects the consistency and efficiency of ordinary least squares estimates of the parameters. We propose...