Simulation and Inference for Stochastic Processes with YUIMA
1770 Kč
Odesíláme do 1 až 2 týdnů
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..
-
Inside PixInsight
Keller, Warren A.
-
Fundamentals of Java Programming
Ogihara, Mitsunori
-
Future Telco
-
IT Management in the Digital Age
Urbach, Nils
-
Cinderella\'s Stick
Tzitzikas, Yannis; Marketakis, Yannis
-
Requirements Engineering
Dick, Jeremy
-
Medical Robotics
Schweikard, Achim; Ernst, Floris
-
Algorithms for Data Science
Steele, Brian; Chandler, John; Reddy, Swarna
-
Cryptography Made Simple
Blake Ian, Seroussi Gadiel, Smart Nigel
-
New Horizons for a Data-Driven Economy
-
UML @ Classroom
Seidl, Martina
-
Eye Tracking Methodology
Duchowski, Andrew T.
-
Designing with Xilinx (R) FPGAs
-
Utility Communication Networks and S...
-
Principles of Forensic Audio Analysis
Maher, Robert C.
-
Quick Reference Handbook for Surgica...
Rekhtman, MD, PhD, Natasha; Baine, MD, PhD, Marina K; Bishop, MD, Justin A.
