Simulation and Inference for Stochastic Processes with YUIMA
33
%
1168 Kč 1 757 Kč
Expedice za 2 až 3 dny
Sleva až 70% u třetiny knih
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, Levy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes.
| Autor: | Iacus, Stefano M.; Yoshida, Nakahiro |
| Nakladatel: | Springer International Publishing AG |
| ISBN: | 9783319555676 |
| Rok vydání: | 2017 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 268 |
Mohlo by se vám také líbit..
-
New Horizons for a Data-Driven Economy
-
Adventures in Computer Science
Moret-Bonillo, Vicente
-
Computing Platforms for Software-Def...
-
The Consciousness' Drive
Coatsworth, John; Cole, Juan; Hanagan, Michael P.; Perdue, Peter C.; Tilly, The late Charles; Tilly, Louise A.
-
Cloud Computing
Sehgal, Naresh Kumar; Bhatt, Pramod Chandra P.
-
Data Mining
Aggarwal, Charu C.
-
Fuzzy Graph Theory with Applications...
Mordeson, John N.; Malik, Davender S.; Clark, Terry D.
-
Inside PixInsight
Keller, Warren A.
-
Medical Robotics
Schweikard, Achim; Ernst, Floris
-
Guide to Automotive Connectivity and...
Moeller, Dietmar P.F.; Haas, Roland E.
-
Future Telco
-
Art, Design and Technology: Collabor...
Earnshaw, Rae A.
-
Object-Oriented Analysis, Design and...
Dathan, Brahma; Ramnath, Sarnath
-
Designing with Xilinx (R) FPGAs
-
Algebraic Formalization of Smart Sys...
Serdyukova, Natalia; Serdyukov, Vladimir
-
Introduction to Compiler Design
Mogensen, Torben AEgidius