The Experts below are selected from a list of 839091 Experts worldwide ranked by ideXlab platform
James K. Agee - One of the best experts on this subject based on the ideXlab platform.
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FIRE FREQUENCY IN THE INTERIOR COLUMBIA RIVER BASIN: BUILDING REGIONAL MODELS FROM FIRE History Data
Ecological Applications, 2000Co-Authors: Donald Mckenzie, David L. Peterson, James K. AgeeAbstract:Fire frequency affects vegetation composition and successional pathways; thus it is essential to understand fire regimes in order to manage natural resources at broad spatial scales. Fire History Data are lacking for many regions for which fire management decisions are being made, so models are needed to estimate past fire frequency where local Data are not yet available. We developed multiple regression models and tree-based (classification and regression tree, or CART) models to predict fire return intervals across the interior Columbia River basin at 1-km resolution, using georeferenced fire History, potential vegetation, cover type, and precipitation Databases. The models combined semiqualitative methods and rigorous statistics. The fire History Data are of uneven quality; some estimates are based on only one tree, and many are not cross-dated. Therefore, we weighted the models based on Data quality and performed a sensitivity analysis of the effects on the models of estimation errors that are due to ...
Ben Carterette - One of the best experts on this subject based on the ideXlab platform.
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DEXA (2) - Generating Pseudo Search History Data in the Absence of Real Search History
Lecture Notes in Computer Science, 2016Co-Authors: Ashraf Bah, Ben CarteretteAbstract:Previous studies in Information Retrieval literature have shown that users’ search History can be leveraged to improve current search results. However sometimes we have little to no search History available. In such cases, it would be helpful to obtain Data similar to search History Data. One way of doing this is by simulating previous search interactions. In the present study, we focus on generating simulated “related queries” that can serve as an additional source of information about the current search [1]. Assuming that users reformulate their queries by leveraging some of the terms and key phrases they find in ranked documents during their search, we proposed simple models for generating such related queries.
Frederic Paik Schoenberg - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Wildfire Hazard using Spatial-Temporal Fire History Data
2001Co-Authors: Roger D. Peng, Frederic Paik SchoenbergAbstract:In this paper a new method is described for estimating the fire interval distribution of a region using spatial-temporal fire History Data. In Los Angeles County, California, detailed information on fires has been available through the use of geographic information systems (GIS) technology. The proposed estimator is applied to GIS Data covering the years 1878-1996 and it is shown that fuel age appears to have a nonlinear threshold-type relationship with burn area. The estimator is shown to be more stable than previous estimators and to have good finite and large sample properties.
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Estimation of Wildfire Hazard using Spatial-Temporal Fire History Data - eScholarship
2001Co-Authors: Roger D. Peng, Frederic Paik SchoenbergAbstract:In this paper a new method is described for estimating the fire interval distribution of a region using spatial-temporal fire History Data. In Los Angeles County, California, detailed information on fires has been available through the use of geographic information systems (GIS) technology. The proposed estimator is applied to GIS Data covering the years 1878-1996 and it is shown that fuel age appears to have a nonlinear threshold-type relationship with burn area. The estimator is shown to be more stable than previous estimators and to have good finite and large sample properties.
Donald Mckenzie - One of the best experts on this subject based on the ideXlab platform.
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FIRE FREQUENCY IN THE INTERIOR COLUMBIA RIVER BASIN: BUILDING REGIONAL MODELS FROM FIRE History Data
Ecological Applications, 2000Co-Authors: Donald Mckenzie, David L. Peterson, James K. AgeeAbstract:Fire frequency affects vegetation composition and successional pathways; thus it is essential to understand fire regimes in order to manage natural resources at broad spatial scales. Fire History Data are lacking for many regions for which fire management decisions are being made, so models are needed to estimate past fire frequency where local Data are not yet available. We developed multiple regression models and tree-based (classification and regression tree, or CART) models to predict fire return intervals across the interior Columbia River basin at 1-km resolution, using georeferenced fire History, potential vegetation, cover type, and precipitation Databases. The models combined semiqualitative methods and rigorous statistics. The fire History Data are of uneven quality; some estimates are based on only one tree, and many are not cross-dated. Therefore, we weighted the models based on Data quality and performed a sensitivity analysis of the effects on the models of estimation errors that are due to ...
Christian Belzil - One of the best experts on this subject based on the ideXlab platform.
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Unemployment Insurance and Unemployment over Time: An Analysis with Event History Data
The Review of Economics and Statistics, 1995Co-Authors: Christian BelzilAbstract:Using event History Data, this paper analyzes the distribution of reemployment spell durations conditional on the completed length of the preceding (contiguous) spell of unemployment. The model is used to infer how unemployment insurance, through unemployment duration, may affect the likelihood of reentering unemployment. Special attention is paid to the endogeneity between unemployment and reemployment duration and the sample information contained in the fact that some individuals obtain reemployment by recall as opposed to acceptance of a new job. Copyright 1995 by MIT Press.