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Proxy (statistics)

About: Proxy (statistics) is a research topic. Over the lifetime, 5257 publications have been published within this topic receiving 94504 citations. The topic is also known as: proxy variable & proxy measurement.


Papers
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25 Aug 2015
TL;DR: This paper investigates whether relations captured by online social networks can be used as a proxy for the relations in offline social networks, such as networks of human face-to-face (F2F) proximity and coauthorship networks.
Abstract: —Today, many people spend a lot of time online. Their social interactions captured in online social networks are an important part of the overall personal social profile, in addition to interactions taking place offline. This paper investigates whether relations captured by online social networks can be used as a proxy for the relations in offline social networks, such as networks of human face-to-face (F2F) proximity and coauthorship networks. Particularly, the paper focuses on interactions of computer scientists in online settings (homepages, social networks profiles and connections) and offline settings (scientific collaboration, face-to-face communications during the conferences). We focus on quantitative studies and investigate the structural similarities and correlations of the induced networks; in addition, we analyze implications between networks. Finally, we provide a qualitative user analysis to find characteristics of good and bad proxies.

21 citations

Patent
25 Apr 2000
TL;DR: In this paper, a multiple source proxy management system is described, which includes a personal proxy server that handles requests from the Internet browser and directs requests to a proper data server handler.
Abstract: A multiple source proxy management system is disclosed. Most Internet browsers communicate only with the global Internet. However, new data services may be created that can provide information to an Internet browser in a compatible form. Since Internet browsers only know how to communicate with the Internet, a new system was developed to handle communication with other data services. The system includes a personal proxy server that handles requests from the Internet browser. The personal proxy server directs requests to a proper data server handler. The personal proxy server respects all existing Internet settings such as direct connections, proxy servers, and autoconfig proxy servers.

21 citations

Journal ArticleDOI
TL;DR: In this article , the authors used a global database of proxy sea-level records of the Common Era (0-2000 CE) and showed that globally, it is very likely that rates of sea level rise emerged above pre-industrial rates by 1863 CE (P = 0.9), which is similar in timing to evidence for early ocean warming and glacier melt.
Abstract: Sea-level rise is a significant indicator of broader climate changes, and the time of emergence concept can be used to identify when modern rates of sea-level rise emerged above background variability. Yet a range of estimates of the timing persists both globally and regionally. Here, we use a global database of proxy sea-level records of the Common Era (0-2000 CE) and show that globally, it is very likely that rates of sea-level rise emerged above pre-industrial rates by 1863 CE (P = 0.9; range of 1825 [P = 0.66] to 1873 CE [P = 0.95]), which is similar in timing to evidence for early ocean warming and glacier melt. The time of emergence in the North Atlantic reveals a distinct spatial pattern, appearing earliest in the mid-Atlantic region (1872-1894 CE) and later in Canada and Europe (1930-1964 CE). Regional and local sea-level changes occurring over different time periods drive the spatial pattern in emergence, suggesting regional processes underlie centennial-timescale sea-level variability over the Common Era.

21 citations

01 Jan 2004
TL;DR: The authors argue that the high expected returns observed on illiquid assets should be expected theoretically, but are not actually a premium for illiquidity, per se, and that illiquidities, like size, is a proxy for any unobserved risk.
Abstract: This paper argues that the high expected returns observed on illiquid assets should be expected theoretically, but are not actually a premium for illiquidity, per se. Instead, illiquidity, like size, is a proxy for any unobserved risk. Liquidity should therefore have explanatory power in any asset pricing model that is not perfectly specified, with low measured liquidity forecasting high expected returns.

21 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,242
20222,473
2021334
2020262
2019250
2018282