Patent
Combination forecasting using clusterization
G. Michael Phillips,William P. Jennings,M. Chapman Findlay,Stephen A. Klein,Mark E. Rice +4 more
- 08 Sep 1999
188
TL;DR: In this article, the forecasters are first divided into a number of pre-defined clusters, which typically will have been formed using statistical clustering techniques, and then, statistical data are calculated for each predefined cluster (e.g., measures of central tendency and dispersion). Finally, the statistical data for all the predefined clusters are combined so as to obtain a combination forecast.
read more
Abstract: Combination forecasts are generated using predictions obtained from a group of forecasters. The forecasters are first divided into a number of pre-defined clusters, which typically will have been formed using statistical clustering techniques. In particular, clusters of forecasters can be formed based on similarities of the forecasters' predictions. Then, statistical data are calculated for each pre-defined cluster (e.g., measures of central tendency and dispersion). Finally, the statistical data for all the pre-defined clusters are combined so as to obtain a combination forecast.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Patent
Multifactorial optimization system and method
Steven M. Hoffberg
- 03 Oct 2006
TL;DR: In this paper, the authors propose a method for providing unequal allocation of rights among agents while operating according to fair principles, comprising assigning a hierarchal rank to each agent, providing a synthetic economic value to a first set of agents at the a high level of the hierarchy, allocating portions of the synthetic economy value by the first sets of agents to a second subset of agents, at respectively different hierarchal ranks than the first set, and conducting an auction amongst agents using the synthetic economic values as the currency.
850
Patent
Security analyst estimates performance viewing system and method
Joseph G. Gatto
- 29 Jun 2001
TL;DR: In this paper, the authors present a system and method for measuring, analyzing, and tracking the past performance of security analysts' earnings estimates and recommendations and provide a database of historical data relating to security analyst earnings estimate predictions wherein a historical model enables users to view the historical data as a time series of earnings estimates for each analyst selected, for a selected period of time for a predetermined earnings event.
339
Patent
Methods and systems for defining targeted marketing campaigns using embedded models and historical data
Balwinder S. Samra,Oumar Nabe +1 more
- 29 Dec 1999
TL;DR: In this article, a targeting engine is used for analyzing data input and generating data output, which includes the steps of using historical data to determine a target group based upon a plurality of embedded models and directing the marketing campaign towards the target groups flagged by the models.
191
Patent
System and method for customer provisioning in a utility computing platform
Jason A. Lochhead,Randy Rowland,Stephen R. Johnson,Manikandan Subramanian,Emmanuel Kothapally +4 more
- 11 Jun 2013
TL;DR: In this paper, a virtualization control system may receive a set of parameters; and provision a virtual environment; the provisioning may include provisioning an additional set of resources for the virtual environment.
151
Patent
Security analyst performance tracking and analysis system and method
Joseph G. Gatto
- 23 Apr 1999
TL;DR: In this paper, a system and method for measuring, analysing, and tracking the past performance of security analysts' earnings estimates and recommandations is presented, including adjustment factors a single or set of analysts based upon their historical earnings estimates as compared to actual earnings estimates over time.
147
References
•Book
Statistical Analysis with Missing Data
Roderick J. A. Little,Donald B. Rubin +1 more
- 01 Jan 1987
TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
18.3K
Bayesian Model Averaging: A Tutorial
TL;DR: Bayesian model averaging (BMA) provides a coherent mechanism for ac- counting for this model uncertainty and provides improved out-of- sample predictive performance.
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
Chris Fraley,Adrian E. Raftery +1 more
TL;DR: The problems of determining the number of clusters and the clustering method are solved simultaneously by choosing the best model, and the EM result provides a measure of uncertainty about the associated classification of each data point.
2.8K
Improved methods of combining forecasts
TL;DR: In this paper, it is shown that the best method is to add a constant term and not to constrain the weights to add to unity, and that the optimum method proposed here is superior to the common practice of letting the weights add up to one.
1.2K