Comments on « Wavelets in Statistics : a Review » by a . Antoniadis

Comments on \ Wavelets in Statistics : A Review

I would like to congratulate Professor Antoniadis for successfully outlining the current state-of-art of wavelet applications in statistics. Since wavelet techniques were introduced to statistics in the early 90's, the applications of wavelet techniques have mushroomed. There is a vast forest of wavelet theory and techniques in statistics and one can nd himself easily lost in the jungle. The re...

Some New Methods for Prediction of Time Series by Wavelets

Extended Abstract. Forecasting is one of the most important purposes of time series analysis. For many years, classical methods were used for this aim. But these methods do not give good performance results for real time series due to non-linearity and non-stationarity of these data sets. On one hand, most of real world time series data display a time-varying second order structure. On th...

Peer Reviewers’ Comments on Research Articles Submitted by Iranian Researchers

The invisible hands of peer reviewers play a determining role in the eventual fate of submissions to international English-medium journals. This study builds on the assumption that non-native researchers and prospective academic authors may find the whole strive for publication, and more specifically, the tough review process, less threatening if they are aware of journal reviewers’ expectation...

Comments on: 1-penalization for mixture regression models

How to reply to referees' comments when submitting manuscripts for publication

Background: The publication of articles in peer-reviewed scientific journals is a fairly complex and stepwise process that involves responding to referees’ comments. Little guidance is available in the biomedical literature on how to deal with such comments. Objective: The objective of this article is to provide guidance to notice writers on dealing with peer review comments in a way that maxim...