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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 2. Отображено 2.
27-02-2014 дата публикации

SYSTEM AND METHOD FOR MEAN ESTIMATION FOR A TORSO-HEAVY TAIL DISTRIBUTION

Номер: US20140059095A1
Автор: Greg D. Adams, Timothy W. Amato, Kumar R. Dandapani, Yiping Dou, Gurudev Karanth, Anthony Douglas Thrall, Mithun Yarlagadda, ADAMS GREG D, AMATO TIMOTHY W, DANDAPANI KUMAR R, DOU YIPING, KARANTH GURUDEV, THRALL ANTHONY DOUGLAS, YARLAGADDA MITHUN, ADAMS GREG D., AMATO TIMOTHY W., DANDAPANI KUMAR R.
Принадлежит: eBay Inc.

In various example embodiments, systems and methods for estimating the mean of a dataset having a fat tail. Data sets may be partitioned into components, a “torso” component and a “tail” component. For the “tail” component of the data set a more efficient estimator can be obtained (versus the traditionally calculated mean) by using the tail data to estimate parameters for a specific distribution and then deriving the mean from the estimated parameters. The estimated mean from the torso and the estimated mean from the tail may then be combined to obtain the estimated mean for the full data. This can be applied to gross merchandise bought (GMB) by various samples of visitors and apply the experience that was provided to the sample with the highest GMB to all visitors to increase gross revenue. 1. A method of estimating the mean of a heavy-tailed probability distribution comprising:using at least one computer processor, partitioning the probability distribution into a torso subgroup and a tail subgroup;using data from the tail subgroup to estimate parameters for a specific distribution; andderiving the mean of the tail subgroup from the estimated parameters.2. The method of further including estimating the mean of the torso subgroup and assembling the estimated mean of the torso subgroup and the estimated mean of the tail subgroup into an estimated overall-mean of the heavy-tail probability distribution.3. A method of determining the population mean of heavy-tailed data comprising:using at least one computer processor, partitioning the data into non-tail and tail components;estimating the mean and standard error of the non-tail component; andestimating the mean and standard error of the tail component by fitting a parametrically defined distribution to the tail component, deriving the mean of the tail from the fitted parameter, and estimating the standard error of the mean for the tail.4. The method of further including assembling an overall estimated population mean ...

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Номер записи: 1
03-07-2014 дата публикации

SOCIAL NETWORK-BASED INVESTMENT GUIDANCE

Номер: US20140188761A1
Автор: Greg D. Adams, Timothy W. Amato, Kumar R. Dandapani, ADAMS GREG D, AMATO TIMOTHY W, DANDAPANI KUMAR R, ADAMS GREG D., AMATO TIMOTHY W., DANDAPANI KUMAR R.
Принадлежит: Nth-Degree Analytics II, Inc.

Personal and asset transaction information of a plurality of participating investors of a social network-based investment guidance service can be aggregated. A subset of the aggregated personal information and asset transaction information can be defined based on a set of one or more dimensions relating to either or both of the aggregated asset transaction information and personal information of the plurality of participating investors and investor profile information can be presented to the individual participating investor based on the subset. 1. A computer program product comprising a machine-readable storage medium storing instructions that , when executed by at least one programmable processor , cause the at least one programmable processor to perform operations comprising:aggregating personal information and asset transaction information of a plurality of participating investors of a social network-based investment guidance service, the asset transaction information comprising information about asset transactions completed by an individual participating investor of the plurality of participating investors;defining a subset of the plurality of participating investors, the defining comprising applying a set of one or more dimensions to the aggregated personal information and asset transaction information;presenting investor profile information for the subset of participating investors to an individual participating investor of the plurality of participating investors, the investor profile information comprising an aggregate investing behavior of the subset of participating investors.2. A computer program product as in claim 1 , wherein the operations further comprise limiting access of the individual participating investor to the aggregated personal information and asset transaction information of the plurality of participating investors claim 1 , the limiting comprising preventing the individual participating investor from receiving the investor profile ...

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Номер записи: 2