Zobrazeno 1 - 10
of 143
pro vyhledávání: '"David Easley"'
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 1, Iss , Pp 100004- (2021)
A 64-year-old rural home bound patient in Washington State was identified to be at increased risk for negative health care outcomes related to chronic end kidney disease and poorly controlled diabetes. The patient lacked understanding of the use of m
Externí odkaz:
https://doaj.org/article/0d1bf8123d7948329f6fe3aca345738c
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228421 (2020)
We develop a dynamic matched sample estimation algorithm to distinguish peer influence and homophily effects on item adoption decisions in dynamic networks, with numerous items diffusing simultaneously. We infer preferences using a machine learning a
Externí odkaz:
https://doaj.org/article/51634e320fb74e179fd09241e404e7ee
Publikováno v:
Pharmacy, Vol 10, Iss 1, p 10 (2022)
This report describes a case of likely drug-induced Parkinsonism (DIP) identified by the pharmacist. A 54-year-old female patient was referred by a physician to the pharmacist in a rural, integrated care team for a comprehensive medication review (CM
Externí odkaz:
https://doaj.org/article/c62aa563da144a68bb429059b2e23dc0
Publikováno v:
Management Science.
Blockchain-based cryptocurrencies must solve the problem of assigning priorities to competing transactions. The most widely used mechanism involves each transaction offering a fee to be paid once the transaction is processed, but this discriminatory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5eba5aa8ea1aafe2deb54ca3b3cd890
https://doi.org/10.1287/mnsc.2023.4735
https://doi.org/10.1287/mnsc.2023.4735
Autor:
David Easley, Maureen O’Hara
Publikováno v:
The Review of Financial Studies. 36:534-570
We develop a model of psychological-games-played-on-a-network to demonstrate a role for endogenously determined, rationally chosen ethics. Our analysis produces sharp results about contagion of nonethical or ethical behavior and the possible equilibr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727b7be401c5fad269ef9bc2723a76e6
https://doi.org/10.1093/rfs/hhac015
https://doi.org/10.1093/rfs/hhac015
Publikováno v:
Data Science in Science. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b3fa719d1df913354a8d817af2db989
https://doi.org/10.1080/26941899.2023.2166624
https://doi.org/10.1080/26941899.2023.2166624
Publikováno v:
Review of Finance. 25:1433-1471
We investigate the new reality of exchange-traded funds (ETFs). We show that most ETFs are active investments in form (designed to generate alpha) or function (serve as building blocks of active portfolios). We define a new activeness index to captur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae2cfc2ae176cfa91f6014bb12c637f
https://doi.org/10.1093/rof/rfab021
https://doi.org/10.1093/rof/rfab021
Publikováno v:
The Review of Financial Studies. 34:3316-3363
Understanding modern market microstructure phenomena requires large amounts of data and advanced mathematical tools. We demonstrate how machine learning can be applied to microstructural research. We find that microstructure measures continue to prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f233476ee5483cec21fc688b5be815
https://doi.org/10.1093/rfs/hhaa078
https://doi.org/10.1093/rfs/hhaa078
Publikováno v:
Journal of Financial Economics. 134:91-109
We investigate the role that transaction fees play in the bitcoin blockchain's evolution from a mining-based structure to a market-based ecology. We develop a game-theoretic model to explain the factors leading to the emergence of transactions fees,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7a1a0c7bd228106afc6c7e486c1678e
https://doi.org/10.1016/j.jfineco.2019.03.004
https://doi.org/10.1016/j.jfineco.2019.03.004
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 2, p e0228421 (2020)
PLoS ONE, Vol 15, Iss 2, p e0228421 (2020)
We develop a dynamic matched sample estimation algorithm to distinguish peer influence and homophily effects on item adoption decisions in dynamic networks, with numerous items diffusing simultaneously. We infer preferences using a machine learning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb95d07269e1e2b881ec89050fec16b9
https://hdl.handle.net/11565/4051649
https://hdl.handle.net/11565/4051649
