Found 568 datasets matching "Bayesian".
-
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model -...
Search relevance: 120.50 | Views last month: 0 -
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
Search relevance: 115.37 | Views last month: 0 -
This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The data...
Search relevance: 113.22 | Views last month: 0 -
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model -...
Search relevance: 111.41 | Views last month: 0 -
This USGS data release represents tabular and geospatial data for the Gulf Sturgeon Bayesian Network Model. The Gulf Sturgeon is a federally listed, anadromous species, inhabiting Gulf Coast...
Search relevance: 110.48 | Views last month: 0 -
This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS...
Search relevance: 107.82 | Views last month: 2 -
This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS...
Search relevance: 106.54 | Views last month: 0 -
The data and code that accompanies the book chapter Bayesian Hierarchical Models for Service Life Prediction of Polymers.
Search relevance: 105.32 | Views last month: 0 -
Since the publication of the Adverse Outcome Pathway (AOP) for skin sensitization, there have been many efforts to develop systematic approaches to integrate the information generated from...
Search relevance: 103.67 | Views last month: 1 -
This U.S. Geological Survey (USGS) data release represents data for the creation of a spatially explicit Bayesian network model that predicts Brown Pelican nests on islands across the U.S. portion...
Search relevance: 103.52 | Views last month: 1 -
Background Fluctuating asymmetry is assumed to measure individual and population level developmental stability. The latter may in turn show an association with stress, which can be...
Search relevance: 100.33 | Views last month: 0 -
Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water. One group of possible contaminants are enteric viruses. Measurement...
Search relevance: 99.29 | Views last month: 1 -
This dataset contains the site clusters identified from a Bayesian network analysis with data clustering. Original data used for identifying clusters came from the Region 4 urban background study...
Search relevance: 97.71 | Views last month: 0 -
Supplementary data for "Ring C, Blanchette A, Klaren WD, Fitch S, Haws L, Wheeler MW, DeVito M, Walker N, Wikoff D. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency...
Search relevance: 97.03 | Views last month: 0 -
This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the creation and application of a Bayesian network model that predicts Black Skimmer (Rynchops niger) and...
Search relevance: 95.04 | Views last month: 0 -
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the...
Search relevance: 93.55 | Views last month: 0 -
In this work we are concerned with the conceptual design of large-scale diagnostic and health management systems that use Bayesian networks. While they are potentially powerful, improperly...
Search relevance: 92.80 | Views last month: 0 -
The dataset is lake dissolved oxygen concentrations obtained form plots published by Gelda et al. (1996) and lake reaeration model simulated values using Bayesian Monte Carlo methods (Chaudhary...
Search relevance: 91.77 | Views last month: 0 -
One of NASA’s key mission requirements is robust state estimation. Sensing, using a wide range of sensors and sensor fusion approaches, plays a central role in robust state estimation, and there...
Search relevance: 91.36 | Views last month: 1 -
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree...
Search relevance: 89.84 | Views last month: 0
