Statistical Inference for Stochastic Processes
SJR Rank #15,287H-index: 24SJR: 0.361Best quartile: Q3APC: US$3,090
Journal website: aims, scope and author guidelinesPublisher
Springer Science and Business Media B.V.
Country
Netherlands
Type
journal
SJR by Edition
Subject Categories
- Statistics and ProbabilityQ3
Areas: Mathematics
Most published research topics
Stochastic processes and financial applicationsStatistical Methods and InferenceFinancial Risk and Volatility ModelingBayesian Methods and Mixture ModelsStochastic processes and statistical mechanicsComplex Systems and Time Series AnalysisProbability and Risk ModelsAdvanced Statistical Methods and ModelsAdvanced Statistical Process MonitoringStatistical Methods and Bayesian Inference
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1572-9311, 1387-0874
SJR Best Quartile
Q3
Region
Western Europe
Citations per Document (2 years)
0.86
References per Document
35.91
Coverage
2001, 2005-2025
Scope
Statistical Inference for Stochastic Processes is devoted to the following topics: Parametric, semiparametric and nonparametric inference in discrete and continuous time stochastic processes (especially: ARMA type processes, diffusion type processes, point processes, random fields, Markov processes). Analysis of time series. Spatial Models. Empirical Processes. Applications to finances, insurances, economics, biology, physics and engineering.
Metrics from SCImago Journal Rank 2025. View on SCImago