| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
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| 001 |
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| 006 |
m o d |
| 007 |
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| 008 |
190425s2019 enka fobs 000 0 eng d |
| 005 |
20240923170325.3 |
| 035 |
|
|
|a (OCoLC)on1101745004
|
| 040 |
|
|
|a SGPBL
|b eng
|e rda
|e pn
|c SGPBL
|d OCLCO
|d OCLCF
|d AGL
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 020 |
|
|
|a 9781526496492
|q (online resource)
|
| 020 |
|
|
|a 1526496496
|
| 035 |
|
|
|a (OCoLC)1101745004
|
| 050 |
|
4 |
|a QA402
|b .S55 2019
|
| 070 |
0 |
|
|a QA402
|b .S55 2019
|
| 082 |
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4 |
|a 003
|
| 049 |
|
|
|a TXAM
|
| 100 |
1 |
|
|a Shi, Feng,
|d active 2019,
|e author.
|
| 245 |
1 |
0 |
|a Learn about the multivariate Hawkes process in Python with data from the DJIA 30 Stock dataset (2018) /
|c Feng Shi and Odum Institute.
|
| 264 |
|
1 |
|a London :
|b SAGE Publications, Ltd.,
|c 2019.
|
| 300 |
|
|
|a 1 online resource :
|b illustrations
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 504 |
|
|
|a Includes bibliographical references and index.
|
| 520 |
8 |
|
|a This dataset is designed for teaching the multivariate Hawkes process. The data are a subset of the 2018 DJIA 30 Stock Time Series dataset, and the example examines the interactions between the time series of daily closing-price of the 30 DJIA stocks from 2006 to 2017. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
|
| 588 |
|
|
|a Description based on XML content.
|
| 650 |
|
0 |
|a System analysis
|x Data processing.
|
| 650 |
|
0 |
|a Finance
|x Econometric models.
|
| 650 |
|
0 |
|a Dow Jones industrial average.
|
| 650 |
|
0 |
|a Python (Computer program language)
|
| 650 |
|
6 |
|a Analyse de systèmes
|x Informatique.
|
| 650 |
|
6 |
|a Finances
|x Modèles économétriques.
|
| 650 |
|
6 |
|a Indice Dow Jones des valeurs industrielles.
|
| 650 |
|
6 |
|a Python (Langage de programmation)
|
| 650 |
|
7 |
|a Dow Jones industrial average
|2 fast
|
| 650 |
|
7 |
|a Finance
|x Econometric models
|2 fast
|
| 650 |
|
7 |
|a Python (Computer program language)
|2 fast
|
| 650 |
|
7 |
|a System analysis
|x Data processing
|2 fast
|
| 710 |
1 |
|
|a Odum Institute,
|e author.
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/dataset/multivariate-hawkes-in-djia-2018
|z Connect to the full text of this electronic book
|t 0
|
| 955 |
|
|
|a SAGE eBooks
|
| 955 |
|
|
|a SAGE Research Methods Datasets 2
|
| 994 |
|
|
|a 92
|b TXA
|
| 999 |
f |
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|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QA402 .S55 2019
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA402 .S55 2019
|t 0
|l Available Online
|