[PDF] Top 20 Time varying brain connectivity with multiregression dynamic models

... functional connectivity assumed that connec- tivity was static over the duration of a typical fMRI scan, ...this dynamic functional ...of dynamic functional connectivity requires ...of ... See full document

... MDM models dynamic links and so allows us to discriminate between models that would be Markov equivalent in their static ...of brain connectivity, but also for estimating its ... See full document

... stationary time series have time-invariant statistical properties, in reality, the measured signals may exhibit some time-varying features due to their intrinsic generating mechanisms or the ... See full document

... reaction time between memory loads, as would be expected, future studies investigating the effect of working memory may wish to employ tasks that permits that kind of ...DCM models in the current study were ... See full document

... (e.g. Mechelli et al., 2002; Li et al., 2008; Ramsey et al., 2010; Gates and Molenaar, 2012). The first approach is the virtual-typical-subject (VTS) which ignores the inter-subject vari- ability, assuming that the ... See full document

... features, dynamic features, for example, dynamism, time-varying, stability, randomness and relevance, have some important applications in dynamic measurement ... See full document

... in dynamic pricing assume that a retailer sells identical items to its customers (Besbes and Zeevi, 2009; Farias and Van Roy, 2010; Broder and Rusmevichien- tong, 2012; den Boer and Zwart, 2013; Wang et ... See full document

... be shown that the mean of g(z) interpolates between the two neighboring values of with weights inversely related to the distance between neighboring points and z. The variance shares similar properties and can be large ... See full document

... with time-varying demands, primarily through the use of fluid and diffusion approximation ...of time- varying demand often requires a time-varying control of the system, ...i.e., ... See full document

... Motivated by [7] and [9], we study the coordinated stability of multi-agent systems where the dynamics of each agent is second order in this paper. The communi- cation transmission time delays of multi-agent ... See full document

... of dynamic spectrum allocation algorithms, which enable the cognitive nodes to opportunistically access the available wireless spectrum, without interfering with existing primary ...Therefore, dynamic ... See full document

... rsfMRI connectivity profiles (Zhan et ...rat brain when com- pared to awake (restrained) states, despite the use of much higher ...human brain provide further empirical support to a marginal ... See full document

... for dynamic algorithms are the Strong Exponential Time Hyposis (SETH), which concerns the running time for solving SAT, and the Online Matrix- Vector Multiplication Conjecture (OMv), which con- cerns ... See full document

... including time-frequency representations (Jones and Parks 1992, Sattar and Salomonsson 1999, Potamianos and Maragos 2001), time-varying spectral analysis (Cho et al 1991, Cakrak and Loughlin 2001), ... See full document

... macroeconomic time series has been documented in the lit- erature, among others, by Primiceri (2005) and Sims and Zha ...over time can lead to a better model …t when the sample considered contains periods ... See full document

... The average of values of the above MADE over simulations was calculated and reported in Table 1 for the error models (A1) and (A3). The results show that the local LS estimator and the local M-estimators have ... See full document

... H., 1978, et alii "Econometric Modelling Time Series of the Aggregate Relationship Between Consumer's Expenditure and Income in the United Kingdom, The Economic Journal, 88,661-692.. Pol[r] ... See full document

... Asymptotics of Cholesky GARCH models and time-varying conditional betas Darolles, Serges and Francq, Christian and Laurent, Sébastien Université Paris-Dauphine, CREST and University of L[r] ... See full document

... effective connectivity within the salience network consisting of the anterior insulae and anterior cingulate ...bidirectional connectivity between the fusiform face area (FFA) and the parahippocampal place ... See full document

... TVP models with stochastic volatility forecast best – but only if a Lasso prior is used on the time-varying ...MAFE, models with constant coefficients forecast ...comparison, models ... See full document