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Article
Peer-Review Record

Entropy Based Student’s t-Process Dynamical Model

Entropy 2021, 23(5), 560; https://doi.org/10.3390/e23050560
by Ayumu Nono 1,*, Yusuke Uchiyama 2 and Kei Nakagawa 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Entropy 2021, 23(5), 560; https://doi.org/10.3390/e23050560
Submission received: 30 March 2021 / Revised: 25 April 2021 / Accepted: 27 April 2021 / Published: 30 April 2021
(This article belongs to the Special Issue Time Series Modelling)

Round 1

Reviewer 1 Report

My comments are included in the attached  .pdf document.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper proposes  an entropy based Student’s t-process to implement robust estimation for dynamical latent variables of nonlinear and non-Gaussian fluctuations.

It is a very interesting and well-presented paper.

1).  It would be interesting if authors would show an analytic expression for the expected improvement under a Student’s-T distribution from eq. (9).

2). I would suggest the authors to include relative reference from Entropy if possible.

3). In the Introduction section, 3rd paragraph, other works could be mentioned as well. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

no additional comments

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