Bayesian Approach for Automotive Vehicle Data Analysis

2017 ◽  
pp. 323-330
Author(s):  
Heena Timani ◽  
Mayuri Pandya ◽  
Mansi Joshi
Keyword(s):  
Data Analysis ◽  
Bayesian Approach ◽  
Automotive Vehicle ◽  
Vehicle Data

A Numerical Bayesian Approach to Spatial Data Analysis

1997 ◽  
Vol 47 (3-4) ◽  
pp. 181-198
Author(s):  
Indranil Mukherjee ◽  
Himadri Ghosh ◽  
Aditya Chatterjee
Keyword(s):  
Data Analysis ◽  
Gibbs Sampling ◽  
Bayesian Approach ◽  
Spatial Data ◽  
Bayesian Method ◽  
Spatial Data Analysis ◽  
Scientific Investigations ◽  
Sampling Approach

Investigators in diverse fields of scientific investigations (specially the geo-statisticians) have long been concerned with the so called Regionalised Variable (ReV) or variables whose values are in some way related to their positions in space. In such situations it becomes sometimes necessary to estimate the values for certain measures based on the ReV over some suitable blocking or redivision of the space. In thls paper we deliniate a numerical Bayesian method based on the Gibbs sampling approach towards solving this class of problems whlch is capable of being tuned to various situations arising in the geological and other investigations dealing with ReVs. The paper deals with the problem of estimating the volume of an accumulation, from a data comprising of heights of the accumulation at random points, in some details and also reports the results of a few numerical applications of the methodology developed.

scholarly journals A Bayesian Approach to the Use of 14C Dates in the Estimation of the Age of Peat

Radiocarbon ◽  
1995 ◽  
Vol 37 (2) ◽  
pp. 431-441 ◽  
Author(s):  
J. A. Christen ◽  
R. S. Clymo ◽  
C. D. Litton
Keyword(s):  
Data Analysis ◽  
Mathematical Models ◽  
Bayesian Approach ◽  
Land Surface ◽  
Lower Layer ◽  
Decay Rates ◽  
The Earth ◽  
Cumulative Mass ◽  
Carbon Store ◽  
The Bayesian Approach

Peatlands occupy a significant portion of the land surface of the Earth and form a large carbon store. Most peat-forming systems have two layers. The upper layer, the acrotelm, fixes carbon by photosynthesis, loses some of it by decay and passes the remainder on to the lower layer, the catotelm. In the catotelm, decay continues at a slower rate. Mathematical models of the growth of the catotelm have been proposed which relate the cumulative mass of peat above a particular depth to calendar age of the peat at that depth. We demonstrate how 14C dating and the Bayesian approach to data analysis can be used to make inferences about the relation between calendar age and cumulative mass, and to estimate the accumulation and decay rates.

A novel Bayesian approach to acoustic emission data analysis

Ultrasonics ◽  
2016 ◽  
Vol 72 ◽  
pp. 89-94 ◽  
Author(s):  
E. Agletdinov ◽  
E. Pomponi ◽  
D. Merson ◽  
A. Vinogradov
Keyword(s):  
Acoustic Emission ◽  
Data Analysis ◽  
Bayesian Approach ◽  
Emission Data

scholarly journals fMRI Data Analysis With Nonstationary Noise Models: A Bayesian Approach

2007 ◽  
Vol 54 (9) ◽  
pp. 1621-1630 ◽  
Author(s):  
Huaien Luo ◽  
Sadasivan Puthusserypady
Keyword(s):  
Data Analysis ◽  
Bayesian Approach ◽  
Fmri Data ◽  
Fmri Data Analysis ◽  
Noise Models
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