scroll to top
0

EBSCO Auth Banner

Let's find your institution. Click here.

Advanced Search Results For "BAYESIAN analysis"

1 - 10 of 82,587 results for
 "BAYESIAN analysis"
Results per page:

Bayesian Consumer Profiling: How to Estimate Consumer Characteristics from Aggregate Data.

Publication Type: Academic Journal

Source(s): Journal of Marketing Research (JMR). Aug2022, Vol. 59 Issue 4, p755-774. 20p. 1 Diagram, 6 Charts, 3 Graphs.

Abstract: Firms use aggregate data from data brokers (e.g., Acxiom, Experian) and external data sources (e.g., Census) to infer the likely characteristics of consumers in a target list and thus better predict consumers' profiles and needs unobtrusively. The auth...

View details

Plant stress propagation detection and monitoring with disruption propagation network modelling and Bayesian network inference.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Jan2022, Vol. 60 Issue 2, p723-741. 19p. 7 Diagrams, 5 Charts, 3 Graphs.

Abstract: Plant stresses and diseases cause major losses to agricultural productivity and quality. Left unchecked, stresses and diseases can spread and propagate to nearby plants, causing even more damage, necessitating early detection. To address this challenge...

View details

Publication Type: Academic Journal

View details

Bayesian analysis of generalized linear mixed models with spatial correlated and unrestricted skew normal errors.

Publication Type: Academic Journal

Source(s): Communications in Statistics: Theory & Methods. 2022, Vol. 51 Issue 24, p8476-8498. 23p.

Abstract: Existing studies on spatial linear mixed models typically assume a normal distribution for the random error components. However, such an assumption may not be appropriate in many applications. This work relaxes the normality assumption of a generalized...

View details

Use of HFACS and Bayesian network for human and organizational factors analysis of ship collision accidents in the Yangtze River.

Publication Type: Academic Journal

Source(s): Maritime Policy & Management. Dec2022, Vol. 49 Issue 8, p1169-1183. 15p.

Abstract: Human and organizational factors are the contributing factors for collision accidents from the historical data. To discover the key influencing factor, a human factor analysis and classification system based Bayesian Network model is proposed in this p...

View details

Bayesian analysis and follow-up experiments for supersaturated multistratum designs.

Publication Type: Academic Journal

Source(s): Journal of Quality Technology. 2022, Vol. 54 Issue 5, p527-546. 20p.

Abstract: Supersaturated multistratum designs are applied for identifying important factors in experiments in which the run order cannot be completely randomized. Since supersaturated multistratum designs have small run sizes and large numbers of factors, there ...

View details

Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data.

Publication Type: Academic Journal

Source(s): Journal of Statistical Computation & Simulation. Nov2022, Vol. 92 Issue 16, p3430-3451. 22p.

Abstract: In this work, we develop new data augmentation algorithms for Bayesian analysis of directional data using the von Mises-Fisher distribution in arbitrary dimensions. The approach leads to a new class of distributions, called the Modified Pólya-Gamma dis...

View details

Hybrid fuzzy-Bayesian decision support tool for dynamic project scheduling and control under uncertainty.

Publication Type: Academic Journal

Source(s): International Journal of Construction Management. Nov2022, Vol. 22 Issue 15, p2864-2876. 13p.

Abstract: Construction projects are complex and highly uncertain due to their special characteristics. Considering the incapability of current project scheduling methods in addressing the associated uncertainty, there is an emerging need for a dynamic scheduling...

View details

A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine.

Publication Type: Academic Journal

Source(s): Journal of the Royal Statistical Society: Series C (Applied Statistics). Nov2022, Vol. 71 Issue 5, p1282-1302. 21p.

Abstract: We develop a Bayesian spatio‐temporal model to study pre‐industrial grain market integration during the Finnish famine of the 1860s. Our model takes into account several problematic features often present when analysing multiple spatially interdependen...

View details

Publication Type: Academic Journal

View details
sponsored