×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Busin... [2]
Authors
KO IAT MENG [2]
Document Type
Journal article [2]
Date Issued
2019 [1]
2015 [1]
Language
英語English [2]
Source Publication
Bayesian Analysi... [1]
JOURNAL OF BUSIN... [1]
Indexed By
SSCI [2]
SCIE [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-2 of 2
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Spatial Modeling Approach for Dynamic Network Formation and Interactions
Journal article
Xiaoyi Han, Chih-Sheng Hsieh, Stanley I. M. Ko. Spatial Modeling Approach for Dynamic Network Formation and Interactions[J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2019, 39(1), 120-135.
Authors:
Xiaoyi Han
;
Chih-Sheng Hsieh
;
Stanley I. M. Ko
Favorite
|
TC[WOS]:
8
TC[Scopus]:
8
IF:
2.9
/
4.8
|
Submit date:2019/11/11
Spatial Dynamic Panel Data Model
Latent Variable
Peer Effects
Bayesian
Dynamic Network Formation
Dirichlet Process Hidden Markov Multiple Change-point Model
Journal article
Ko, Stanley I. M., Chong, Terence T. L., Ghosh, Pulak. Dirichlet Process Hidden Markov Multiple Change-point Model[J]. Bayesian Analysis, 2015, 10(2), 275–296.
Authors:
Ko, Stanley I. M.
;
Chong, Terence T. L.
;
Ghosh, Pulak
Favorite
|
TC[WOS]:
40
TC[Scopus]:
41
IF:
4.9
/
4.2
|
Submit date:2019/11/11
Nonparametric Bayesian
Change-point
Dirichlet Process
Hidden Markov Model
Markov Chain Monte Carlo