Ed. by Puccetti, Giovanni
1 Issue per year
SPECIAL ISSUE on Contributions in Multivariate Predictive Analytics
Peng Shi, University of Wisconsin-Madison, USA
Emiliano A. Valdez, University of Connecticut, USA
The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling.
The journal presents different types of articles:
- "Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields.
- "Review Articles" which present the existing literature on the specific topic from new perspectives.
- "Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling.
The journal topics include (but are not limited to):
- Copula methods
- Environmental sciences
- Estimation and goodness-of-fit tests
- Extreme-value theory
- Limit laws
- Mass Transportations
- Measures of association
- Multivariate distributions and tests
- Quantitative Risk Management
- Risk assessment
- Risk models
- Risk measures and stochastic orders
- Time series
Aims and Scope
Why subscribe and read?
- premier source of high quality research in a growing topic
- international forum for the dissemination of research, designed to facilitate the exchange of ideas between theoretical and applied researchers from different countries
- promotion of each published article in the scientific community
- first journal focusing on the modeling of dependence
- fast, fair and constructive peer review
In 2017, Dependence Modeling offers 50% discount to all the authors.
Additionally, fees for authors who don't have access to funding for publications are completely waived.
- DE GRUYTER OPEN
- Emerging Science
- Type of Publication:
researchers in the field of multivariate dependence modeling
Submission of Manuscripts
Instructions for Authors
For submissions we accept exclusively PDF files. The manuscripts must be prepared in one of the following formats: LaTeX, AMSTeX, AMSLaTeX.
All submissions to DEMO must be made electronically via Editorial Manager - an online submission and peer review system at http://www.editorialmanager.com/depmod/.
First-time users must create an Author account to obtain a user ID and password required to enter the system. All manuscripts receive individual identification codes that should be used in any correspondence with regard to the publication process. For the authors already registered in Editorial Manager it is enough to enter their username, password and to log in as author ("Author Login" button). If you experience difficulties with the manuscript submission website, you can send the pdf of your article directly to email@example.com.
All authors of the manuscript are responsible for its content; they must have agreed to its publication and have given the corresponding author the authority to act on their behalf in all matters pertaining to publication. The corresponding author is responsible for informing the coauthors of the manuscript status throughout the submission, review, and production process.
The journal uses a closed single-blind peer review system (the names of the reviewers are hidden from the authors). Submitted manuscripts are reviewed by two or more experts. Reviewers are asked to recommend whether a manuscript should be accepted, revised or rejected. Although the journal uses the plagiarism detection system CrossCheck, reviewers should alert the editors if they suspect any issues relating to author misconduct such as plagiarism.
Reviewers are asked to provide detailed, constructive comments that will help both the editors make a decision on the publication and the author(s) to improve their manuscript. They should point out whether the work has serious flaws that preclude its publication, or whether additional experiments should be carried out or additional data should be collected to support the conclusions drawn.
If your article has been accepted for publication, before sending the final LaTeX/AMSTeX,/AMSLaTeX file of your paper the corresponding author should:
- check and update the references where possible (preprint and working paper which have been accepted during the revision process) and make sure the bibliography is contained in the TeX/LaTeX file (i.e. without reference to any external .bib file). References should be listed alphabetically and Journal names should be written in abbreviated from according to Mathematical Reviews Serials Abbreviations, see http://www.ams.org/msnhtml/serials.pdf. For in-press references or preprint we suggest to indicate a web address where to download the paper or a DOI number if available. Provide the graphical elements accompanying the manuscript (figures, pictures, etc.) as separate files in .eps or .pdf format.
- check that the paper includes abstract, keywords (separated by commas), the AMS Mathematics Subject Classification number(s) (http://www.ams.org/mathscinet/msc/) and (at least) the email address of the corresponding author.
- put Acknowledgments as a separate section at the end of the manuscript
- restrict the use of footnotes (when possible put them in the text).
- make sure that your manuscript is clearly and grammatically written in English.
SUBMISSION OF REVISED ARTICLES
When a major revision of a manuscript is suggested, authors are expected to deliver the revised version of the manuscript within 3 months (1 month in the case a minor revision is suggested). Along with the major/minor revision the authors should also provide a point by point explanation of how the issued raised by the referees have been handled and a brief evaluation of each report received on the paper. The manuscript should be uploaded directly to the Editorial Manager as an answer to the Journal Editor's decision (and not as a new manuscript). If the above mentioned deadlines are not met, the manuscript will be treated as a new submission.
OPEN ACCESS LICENSE
All authors retain copyright, unless - due to their local circumstances - their work is not copyrighted.The non-commercial use of the article will be governed by the Creative Commons Attribution-NonCommercial-NoDerivs license as currently displayed on http://creativecommons.org/licenses/by-nc-nd/3.0/. A properly completed LICENSE TO PUBLISH signed by the Corresponding Author on behalf of all the authors, must be provided for each submitted manuscript as a condition of publication. A form can be downloaded from the journal's webpage. Authors are asked to email a scanned copy of the signed original to the Journal Editor of DEMO at firstname.lastname@example.org.
Abstracting & Indexing
Dependence Modeling is covered by the following services:
- Baidu Scholar
- CNKI Scholar (China National Knowledge Infrastructure)
- DOAJ (Directory of Open Access Journals)
- EBSCO (relevant databases)
- EBSCO Discovery Service
- Genamics JournalSeek
- Google Scholar
- KESLI-NDSL (Korean National Discovery for Science Leaders)
- Mathematical Reviews (MathSciNet)
- Naviga (Softweco)
- Primo Central (ExLibris)
- ProQuest (relevant databases)
- Research Papers in Economics (RePEc)
- Summon (Serials Solutions/ProQuest)
- The Polish Digital Mathematical Library (DML-PL)
- Ulrich's Periodicals Directory/ulrichsweb
- WanFang Data
- WorldCat (OCLC)
- Zentralblatt Math (zbMATH)
Giovanni Puccetti, University of Milan, Italy
Editorial Advisory Board
Beatrice Acciaio, The London School of Economics and Political Science, UK
Carole Bernard, Grenoble Ecole de Management, France
Salim Bouzebda, Université de Technologie de Compiègne, France
Corina Constantinescu, University of Liverpool, UK
Claudia Czado, Technische Universität München, Germany
Bikramjit Das, Singapore University of Tech and Design, Singapore
Stéphane Girard, INRIA Grenoble Rhône-Alpes, France
Taizhong Hu, University of Science and Technology of China
Lei Hua, Northern Illinois University, USA
Roger Laeven, University of Amsterdam, Netherlands
Woojoo Lee, Inha University, Republic of Korea
Ostap Okhrin, Technical University Dresden, Germany
Jean-Francois Quessy, Université du Québec à Trois-Rivières, Canada
Gianfausto Salvadori, Università del Salento, Italy
Qihe Tang, University of Iowa, USA
Ruodu Wang, University of Waterloo, Canada
Andrew Chernih, JPMorgan, New York, USA
Francesca Marta Lilja Di Lascio, Free University of Bozen-Bolzano, Italy
Enrico Foscolo, Free University of Bozen-Bolzano, Italy
DE GRUYTER OPEN
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