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Statistical Inference for Stochastic Processes : Impact Factor & More
eISSN: 1572-9311pISSN: 1387-0874
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Statistical Inference for Stochastic Processes Key Metrics
CiteScore 
1.9
SJR
Q2Statistics and Probability
SNIP
1.21
Time to Accept
10
Mo
Time to Publish
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% of papers by time taken from submission to publication
0 to 3 months0%
4 to 6 months0%
7 to 9 months15%
Above 9 months85%
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Topics Covered on Statistical Inference for Stochastic Processes
Kalman filter
Continuous-time Markov chain
Tensor field
Coronary disease
Cadmium zinc telluride
Gamma camera imaging
Nonparametric model
Local asymptotic normality
Point process
Statistical Inference for Stochastic Processes Journal Specifications
| Overview | |
| Publisher | SPRINGER |
| Language | English |
| Frequency | Tri-annual |
| General Details | |
| Language | English |
| Frequency | Tri-annual |
| Publication Start Year | 1998 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Recently Published Papers in Statistical Inference for Stochastic Processes
Correction: Estimation of several parameters in discretely-observed stochastic differential equations with additive fractional noise
- 10 Dec 2024
- Statistical Inference for Stochastic Processes
Discretely observed Brownian motion governed by telegraph signal process: Estimation and application to finance
- 13 Nov 2024
- Statistical Inference for Stochastic Processes
Integer-valued autoregressive models based on quasi Pólya thinning operator
- 1 Oct 2024
- Statistical Inference for Stochastic Processes
Parameter estimation for second-order SPDEs in multiple space dimensions
- 1 Oct 2024
- Statistical Inference for Stochastic Processes
Quasi-likelihood analysis for Student-Lévy regression
- 21 Sep 2024
- Statistical Inference for Stochastic Processes
Projection-based white noise and goodness-of-fit tests for functional time series
- 24 Jul 2024
- Statistical Inference for Stochastic Processes
Correction: Estimation of several parameters in discretely-observed stochastic differential equations with additive fractional noise
- 10 Dec 2024
- Statistical Inference for Stochastic Processes
Discretely observed Brownian motion governed by telegraph signal process: Estimation and application to finance
- 13 Nov 2024
- Statistical Inference for Stochastic Processes
Integer-valued autoregressive models based on quasi Pólya thinning operator
- 1 Oct 2024
- Statistical Inference for Stochastic Processes
Parameter estimation for second-order SPDEs in multiple space dimensions
- 1 Oct 2024
- Statistical Inference for Stochastic Processes
Quasi-likelihood analysis for Student-Lévy regression
- 21 Sep 2024
- Statistical Inference for Stochastic Processes
Projection-based white noise and goodness-of-fit tests for functional time series
- 24 Jul 2024
- Statistical Inference for Stochastic Processes
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FAQs on Statistical Inference for Stochastic Processes
How long has Statistical Inference for Stochastic Processes been actively publishing? 
Statistical Inference for Stochastic Processes has been in operation since 1998 till date.
What is the publishing frequency of Statistical Inference for Stochastic Processes?
Statistical Inference for Stochastic Processes published with a Tri-annual frequency.
How many articles did Statistical Inference for Stochastic Processes publish last year?
In 2024, Statistical Inference for Stochastic Processes publsihed 13 articles.
What is the eISSN & pISSN for Statistical Inference for Stochastic Processes?
For Statistical Inference for Stochastic Processes, eISSN is 1572-9311 and pISSN is 1387-0874.
What is Citescore for Statistical Inference for Stochastic Processes?
Citescore for Statistical Inference for Stochastic Processes is 1.9.
What is SNIP score for Statistical Inference for Stochastic Processes?
SNIP score for Statistical Inference for Stochastic Processes is 1.21.
What is the SJR for Statistical Inference for Stochastic Processes?
SJR for Statistical Inference for Stochastic Processes is Q2.
Who is the publisher of Statistical Inference for Stochastic Processes?
SPRINGER is the publisher of Statistical Inference for Stochastic Processes.
