Statistics for Stochastic Processes
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 5962
Special Issue Editor
Interests: statistics for stochastic processes; empirical process theory; U-empirical process; bootstrap; semi-/nonparametric statistical theory; functional data analysis; high-dimensional probability; statistical machine learning theory and applications
Special Issue Information
Dear Colleagues,
This Special Issue on “Statistics for Stochastic Processes” aims to publish high-quality articles on statistical inference for discrete or continuous time stochastic processes. The topic includes diffusion-type processes, point processes, random fields, Markov processes, and other time series models. This issue also accepts submissions on empirical processes and U-processes, statistical learning theory, functional data analysis, strong and weak approximations, and information theory, in addition to the abovementioned topics. The most remarkable aspect of statistical inference for stochastic processes is that it has led to interactions with other subfields of mathematics, statistics, and computer science due to the creation of powerful new tools and perspectives. Contributions that suggest potential applications of the developed theory and engineering are strongly encouraged. This Special Issue focuses heavily on methodological progress and theoretical outcomes.
Prof. Dr. Salim Bouzebda
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- discrete or continuous time stochastic processes
- diffusion-type processes
- point processes
- random fields
- Markov processes
- empirical processes and u-processes
- statistical learning theory
- functional data analysis
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