語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Introduction to Stochastic Calculus
~
Karandikar, Rajeeva L.
Introduction to Stochastic Calculus
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Introduction to Stochastic Calculus/ by Rajeeva L. Karandikar, B. V. Rao.
作者:
Karandikar, Rajeeva L.
其他作者:
Rao, B. V.
面頁冊數:
XIII, 441 p.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-981-10-8318-1
ISBN:
9789811083181
Introduction to Stochastic Calculus
Karandikar, Rajeeva L.
Introduction to Stochastic Calculus
[electronic resource] /by Rajeeva L. Karandikar, B. V. Rao. - 1st ed. 2018. - XIII, 441 p.online resource. - Indian Statistical Institute Series,2523-3114. - Indian Statistical Institute Series,.
Discrete Parameter Martingales -- Continuous Time Processes -- The Ito Integral -- Stochastic Integration -- Semimartingales -- Pathwise Formula for the Stochastic Integral -- Continuous Semimartingales -- Predictable Increasing Processes -- The Davis Inequality -- Integral Representation of Martingales -- Dominating Process of a Semimartingale -- SDE driven by r.c.l.l. Semimartingales -- Girsanov Theorem.
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance. The first book to introduce pathwise formulae for the stochastic integral, it provides a simple but rigorous treatment of the subject, including a range of advanced topics. The book discusses in-depth topics such as quadratic variation, Ito formula, and Emery topology. The authors briefly address continuous semi-martingales to obtain growth estimates and study solution of a stochastic differential equation (SDE) by using the technique of random time change. Later, by using Metivier–Pellaumail inequality, the solutions to SDEs driven by general semi-martingales are discussed. The connection of the theory with mathematical finance is briefly discussed and the book has extensive treatment on the representation of martingales as stochastic integrals and a second fundamental theorem of asset pricing. Intended for undergraduate- and beginning graduate-level students in the engineering and mathematics disciplines, the book is also an excellent reference resource for applied mathematicians and statisticians looking for a review of the topic.
ISBN: 9789811083181
Standard No.: 10.1007/978-981-10-8318-1doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Introduction to Stochastic Calculus
LDR
:03000nam a22004095i 4500
001
994243
003
DE-He213
005
20200630083501.0
007
cr nn 008mamaa
008
201225s2018 si | s |||| 0|eng d
020
$a
9789811083181
$9
978-981-10-8318-1
024
7
$a
10.1007/978-981-10-8318-1
$2
doi
035
$a
978-981-10-8318-1
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5
$2
23
100
1
$a
Karandikar, Rajeeva L.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1205167
245
1 0
$a
Introduction to Stochastic Calculus
$h
[electronic resource] /
$c
by Rajeeva L. Karandikar, B. V. Rao.
250
$a
1st ed. 2018.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2018.
300
$a
XIII, 441 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Indian Statistical Institute Series,
$x
2523-3114
505
0
$a
Discrete Parameter Martingales -- Continuous Time Processes -- The Ito Integral -- Stochastic Integration -- Semimartingales -- Pathwise Formula for the Stochastic Integral -- Continuous Semimartingales -- Predictable Increasing Processes -- The Davis Inequality -- Integral Representation of Martingales -- Dominating Process of a Semimartingale -- SDE driven by r.c.l.l. Semimartingales -- Girsanov Theorem.
520
$a
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely applied in financial engineering and mathematical finance. The first book to introduce pathwise formulae for the stochastic integral, it provides a simple but rigorous treatment of the subject, including a range of advanced topics. The book discusses in-depth topics such as quadratic variation, Ito formula, and Emery topology. The authors briefly address continuous semi-martingales to obtain growth estimates and study solution of a stochastic differential equation (SDE) by using the technique of random time change. Later, by using Metivier–Pellaumail inequality, the solutions to SDEs driven by general semi-martingales are discussed. The connection of the theory with mathematical finance is briefly discussed and the book has extensive treatment on the representation of martingales as stochastic integrals and a second fundamental theorem of asset pricing. Intended for undergraduate- and beginning graduate-level students in the engineering and mathematics disciplines, the book is also an excellent reference resource for applied mathematicians and statisticians looking for a review of the topic.
650
0
$a
Statistics .
$3
1253516
650
0
$a
Probabilities.
$3
527847
650
1 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
593945
700
1
$a
Rao, B. V.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1205168
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811083174
776
0 8
$i
Printed edition:
$z
9789811083198
776
0 8
$i
Printed edition:
$z
9789811341212
830
0
$a
Indian Statistical Institute Series,
$x
2523-3114
$3
1279537
856
4 0
$u
https://doi.org/10.1007/978-981-10-8318-1
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入