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    • 33. 发明授权
    • System and method for constructing forecast models
    • 构建预测模型的系统和方法
    • US08374982B2
    • 2013-02-12
    • US12687458
    • 2010-01-14
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Kirshenbaum
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Kirshenbaum
    • G06F15/18G06F17/00G06F17/50G06F7/48
    • G06N99/005
    • Embodiments of the present invention include a computational forecasting system that includes an identity of a dependent variable of interest and identities of a plurality of candidate indicators along with historical data or stored references to historical data, forecast-problem parameters stored in an electronic memory of the one or more electronic computers, an independent-variable selection component that generates correlations to the dependent variable of interest and lag times for the candidate indicators, and uses the generated correlations and lag times to select a number of the candidate indicators as a set of independent variables, and a model-generation component that, using a regression method, generates forecast models for the dependent variable of interest until a model that meets an acceptance criterion or criteria is obtained.
    • 本发明的实施例包括计算预测系统,其包括感兴趣的因变量的身份和多个候选指标的身份以及历史数据或存储在历史数据中的参考,存储在电子存储器中的预测问题参数 一个或多个电子计算机,产生与候选指标的感兴趣的因变量和滞后时间的相关性的独立变量选择部件,并且使用所生成的相关性和滞后时间来将多个候选指标作为一组独立的 变量和模型生成组件,使用回归方法生成感兴趣的因变量的预测模型,直到获得符合接受标准或标准的模型。
    • 40. 发明授权
    • System and method for generating conversion-related estimates utilizing adaptive sample size
    • 使用自适应样本量生成与转换有关的估计的系统和方法
    • US07058590B2
    • 2006-06-06
    • US09849808
    • 2001-05-04
    • Jerry Z. Shan
    • Jerry Z. Shan
    • G06F17/60
    • G06Q30/02G06Q30/0201
    • A method and system for processing test data relevant to specific behavior of visitors of a network accessible site, such as a website, includes a number of components. A first component is configured to determine an initial estimate of visitor behavior on the basis of pre-testing information. Such information may be entered by a manager of the site. A second component is configured to generate updates of the estimate in response to monitored behavior. Bayesian estimation may be employed in this component. The third and fourth components cooperate to dynamically adjust a measure of the required test sample size of the visitors so as to maintain a target statistical confidence level. The third component utilizes systematic sampling, while the fourth component uses negative binomial sampling.
    • 用于处理与诸如网站的网络可访问站点的访问者的特定行为相关的测试数据的方法和系统包括多个组件。 第一组件被配置为基于预测试信息来确定访问者行为的初始估计。 此类信息可能由该网站的经理输入。 第二组件被配置为响应于所监视的行为来生成估计的更新。 贝叶斯估计可用于该组件。 第三和第四组件合作以动态地调整访问者所需的测试样本大小的度量,以便维持目标统计置信水平。 第三个组件利用系统采样,而第四个组件采用负二项采样。