Time Series Analysis and Forecasting

Dear Colleagues,

Recently, the impact of time series analysis and forecast on scientific applications has been increasing. The areas of application are very diverse, ranging from economics to biology and social sciences.

This Special Issue will focus on relevant contributions on the time series analysis and forecast methods in order to promote the rapid dissemination of novel research ideas and statistical applications on this field.

Contributions submitted to this Special Issue must be original work representing new time series modeling and forecast approaches or relevant applications based on real data set from different areas, such as environmental sciences, management, economics, and biological or social sciences.

Special Issue topics include (but are not limited to):

• Nonparametric and functional methods
• State space models
• Linear and nonlinear models
• Outliers in time series data
• Models for count time series
• Econometric models
• Artificial neural networks and machine learning
• Forecasting theory and adjustment
• Forecasting in real problems
• Forecasting performance evaluation
• Interval forecasting
• Change-point detection for time series

Dr. Marco André da Silva Costa
Dr. Magda Sofia Valério Monteiro
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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 1600 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.