Probability Essentials
暫譯: 機率基礎知識
Jean Jacod, Philip Protter
- 出版商: Demos Medical Publis
- 出版日期: 2002-10-28
- 售價: $2,990
- 貴賓價: 9.5 折 $2,841
- 語言: 英文
- 頁數: 254
- 裝訂: Paperback
- ISBN: 3540438718
- ISBN-13: 9783540438717
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
Cross-Platform GUI Programming with wxWidgets (Paperback)$2,240$2,128 -
The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1 (Hardcover)$2,980$2,831 -
C++ Primer Plus, 6/e (中文版) (C++ Primer Plus, 6/e (Developer's Library))$780$616 -
Electricity and Magnetism, 3/e (Hardcover)$1,760$1,725 -
$1,078Data Structures and Algorithm Analysis in C++, 4/e (IE-Paperback) -
Stochastic Analysis and Diffusion Processes (Paperback)$970$951 -
$2,240An Introduction to Statistical Learning: With Applications in R (Hardcover) -
The Principles of Quantum Mechanics, 4/e (Hardcover)$1,890$1,796 -
近代物理 (Beiser)(授權經銷版)$820$779 -
R語言 -- 邁向 Big Data之路 (最新版)$580$493 -
量子力學$660$647 -
Quantum Computing for Everyone$1,250$1,188 -
輕鬆學會 Google TensorFlow 2.0 人工智慧深度學習實作開發$520$406 -
$374深度學習原理與 PyTorch 實戰 -
Cryptography Apocalypse: Preparing for the Day When Quantum Computing Breaks Today's Crypto$1,240$1,178 -
Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design (Harccover)$1,750$1,715 -
演算法：最強彩色圖鑑 + Python程式實作 -- 王者歸來 (全彩印刷)$680$537 -
非監督式學習｜使用 Python (Hands-On Unsupervised Learning Using Python)$680$537 -
Mathematics for Machine Learning (Paperback)$1,480$1,450 -
從零開始讀懂量子力學$270$257 -
Quantum Computing for Everyone$800$760 -
Arbitrage Theory in Continuous Time (Hardcover)$1,200$1,176 -
零時差攻擊：一秒癱瘓世界！《紐約時報》記者追蹤7年、訪問逾300位關鍵人物，揭露21世紀數位軍火地下產業鏈的暗黑真相$550$468 -
Linear Algebra and Matrix Analysis for Statistics (Hardcover)$4,110$3,905 -
Complex Variables: A Physical Approach with Applications and MATLAB (Hardcover)$3,630$3,449
商品描述
This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.
商品描述(中文翻譯)
這本書的介紹可以用於研究生初階的概率論一學期課程，或是自學而不需要正式課程的幫助；所需的測度理論在文本中有詳細說明。對於金融理論、電機工程和運籌學等相關領域的學生和教師也將非常有用。這本書以28個短章節以有指導性且精簡的方式涵蓋了基本內容，並假設讀者只有本科數學背景。讀者將能夠掌握馬爾可夫過程（Martingale Theory）的基本知識，並且有興趣的學生將準備好繼續學習更高級的主題，例如布朗運動（Brownian Motion）和伊藤微積分（Ito Calculus），或統計推斷（Statistical Inference）。
.jpg)
