<div dir="ltr">Dear Octavian,<div><br></div><div>> I am a new member. <br></div><div><br></div><div>I thought you wrote us half a year ago?</div><div><br></div><div>About your questions, you'd better contact Tim Mullen personally since we don't support SIFT. Sorry for inconvenience.</div><div><a href="http://www.syntrogi.com/team/">http://www.syntrogi.com/team/</a><br></div><div><br></div><div>Makoto</div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, May 18, 2015 at 9:07 AM, Octavian Lie <span dir="ltr"><<a href="mailto:octavian.lie@gmail.com" target="_blank">octavian.lie@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr"><div>Dear All, </div><div><br></div><div>I am a new member. I tried to use the analytic code for the DTF measures based on Eichler 2006, and it looks that this is not available in the last (beta) release. Any plans to implement that soon?</div><div><br></div><div>On the same note, I am using adaptive DTF measures on nonstationary time series (seizures). I am not sure the pointwise significance levels calculated as in Eichler would accommodate the time varying case. One option is to break down nonstationary EEG time series I work with in several epochs of relative stationarity, and calculate pointwise significance on these epochs. Is there a way to use <font face="Courier New"><strong>est_checkMVARStability() </strong><font face="arial,helvetica,sans-serif">to accomplish this? I mention I use a Kalman based TVAR process and not the window based approach implemented in SIFT. If not, any alternatives suggested?</font></font></div><div><br></div><div>Thank you, </div><div><br></div><div>Octavian</div></div>
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