Simulation and Inference for Stochastic Processes with YUIMA A Comprehensive R Framework for SDEs and Other Stochastic Processes /
The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA processes. The package performs various central stat...
Κύριοι συγγραφείς: | Iacus, Stefano M. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Yoshida, Nakahiro (http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Use R!,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Statistical Modeling, Analysis and Management of Fuzzy Data
Έκδοση: (2002) -
Applied Probability From Random Sequences to Stochastic Processes /
ανά: Girardin, Valérie, κ.ά.
Έκδοση: (2018) -
Probability and Statistics for Computer Science
ανά: Forsyth, David, κ.ά.
Έκδοση: (2018) -
Continuous Strong Markov Processes in Dimension One A Stochastic Calculus Approach /
ανά: Assing, Sigurd, κ.ά.
Έκδοση: (1998) -
Introduction to Stochastic Calculus
ανά: Karandikar, Rajeeva L., κ.ά.
Έκδοση: (2018)