Zobrazeno 1 - 10
of 33
pro vyhledávání: '"James M. Flegal"'
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62a1c3f04d9fcec501a17048f15dca1a
https://doi.org/10.1002/9781118445112.stat08283
https://doi.org/10.1002/9781118445112.stat08283
Publikováno v:
Communications in Statistics - Theory and Methods. 50:4528-4547
Despite its extensive application in practice, the Metropolis-Hastings sampler can suffer from slow mixing and, in turn, statistical inefficiency. We introduce a modification to the Metropolis-Hast...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aeab1536546c4b2802cde14c767f915
https://doi.org/10.1080/03610926.2020.1719418
https://doi.org/10.1080/03610926.2020.1719418
Publikováno v:
International Journal of Semantic Computing. 13:471-495
Customer reviews are an essential resource to reduce an online product’s uncertainty, which has been shown to be a critical factor for its purchase decision. Existing e-commerce platforms typically ask users to write free-form text reviews, which a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98a2d0ee0a18cb028bbeab8bf290f6d
https://doi.org/10.1142/s1793351x19400208
https://doi.org/10.1142/s1793351x19400208
Publikováno v:
WIREs Computational Statistics. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9a723f91086e14c0f710acb00b82807
https://doi.org/10.1002/wics.1501
https://doi.org/10.1002/wics.1501
Publikováno v:
Diversity and Distributions. 24:497-508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb72b51c6317f52c6ed71f7cf06b4b3f
https://doi.org/10.1111/ddi.12693
https://doi.org/10.1111/ddi.12693
Autor:
James M. Flegal
Publikováno v:
The American Statistician. 75:113-114
The fourth edition of Fundamentals of Probability with Stochastic Processes continues to be a great one- or two-semester elementary probability text. The text naturally requires an understanding of...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f033924425ca85e9440c5a4c566372
https://doi.org/10.1080/00031305.2020.1865063
https://doi.org/10.1080/00031305.2020.1865063
Monte Carlo experiments produce samples in order to estimate features of a given distribution. However, simultaneous estimation of means and quantiles has received little attention, despite being common practice. In this setting we establish a multiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2985721a91bfdd827ac86f4bf1bd448e
Publikováno v:
ICSC
Customer reviews have become an essential resource when people search for goods or services on the Internet. Previous work has shown that reducing a product's uncertainty is critical to its purchase decision. Thus, reviews are more effective when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::055fc2bd932469f85a41ed9100a737a1
https://doi.org/10.1109/icosc.2019.8665616
https://doi.org/10.1109/icosc.2019.8665616
Autor:
James M. Flegal
Publikováno v:
The American Statistician. 75:113-113
Data Visualization: Charts, Maps, and Interactive Graphics, by Robert Grant, overviews a broad range of techniques and challenges encountered in visualizing quantitative information. This well-writ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e157f698ba4d1f96b5354ae0b5a023
https://doi.org/10.1080/00031305.2020.1865062
https://doi.org/10.1080/00031305.2020.1865062
Autor:
James M. Flegal, Roberto C. Crackel
Publikováno v:
Journal of Statistical Computation and Simulation. 87:295-312
Several bivariate beta distributions have been proposed in the literature. In particular, Olkin and Liu (2003) proposed a 3 parameter bivariate beta model, which Arnold and Ng (2011) extend to 5 and 8 parameter models. The 3 parameter model allows fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0023de67d8f016b46cf9877e71409b8c
https://doi.org/10.1080/00949655.2016.1208202
https://doi.org/10.1080/00949655.2016.1208202