Special Issue "Novel Semiparametric Methods"
A special issue of Stats (ISSN 2571-905X).
Deadline for manuscript submissions: 30 November 2022 | Viewed by 1110
Special Issue Editor
Interests: Nonparametric statistics, machine learning, computational neuroscience, computational dynamical systems, functional data analysis, harmonic and functional analysis with applications to data analysis
Special Issue Information
Dear Colleagues,
It is my pleasure to announce a Special Issue entitled “Novel Semiparametric Methods”. In this era of big data, there is evidence that some of the traditional methods of analysis of data do not always address the complexity of the data. Novel methods in semiparametric analysis include, but are not limited to, wavelets, orthogonal polynomial, and nontraditional bases to address the intricacies of nonlinear parts of semiparametric models. Additionally, estimates of linear parts using robust methods, such as quantiles, M-estimation, or rank estimation, with the hope of proposing robust combinations for functional data analysis, would be highly considered. Manuscripts with applications to economy, biology, finance, engineering, public heath would be appreciated. Special attention will be given to manuscripts addressing the statistical issues of prediction in COVID-19 models.
I look forward to receiving your submissions.
Dr. Eddy Kwessi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Stats is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Dr. Eddy Kwessi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Stats is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Semiparametric
- methods
- nonlinear
- robust
- quantile
- M-estimation
- Ranks
- wavelets
- orthogonal polynomial
- COVID-19
