Residual-based specification of a hidden random field included in a hierarchical spatial model

Samuel Soubeyrand; Joël Chadœuf

doi:10.1016/j.csda.2007.02.008

Residual-based specification of a hidden random field included in a hierarchical spatial model

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2007.02.008 ◽

2007 ◽

Vol 51 (12) ◽

pp. 6404-6422 ◽

Cited By ~ 2

Author(s):

Samuel Soubeyrand ◽

Joël Chadœuf

Keyword(s):

Random Field ◽

Spatial Model ◽

Hierarchical Spatial Model

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Variable selection for spatial random field predictors under a Bayesian mixed hierarchical spatial model

Spatial and Spatio-temporal Epidemiology ◽

10.1016/j.sste.2009.07.003 ◽

2009 ◽

Vol 1 (1) ◽

pp. 95-102 ◽

Cited By ~ 7

Author(s):

Ji-in Kim ◽

Andrew B. Lawson ◽

Suzanne McDermott ◽

C. Marjorie Aelion

Keyword(s):

Variable Selection ◽

Random Field ◽

Spatial Model ◽

Spatial Random Field ◽

Selection For ◽

Hierarchical Spatial Model

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The determinants of individual health care expenditures in the Italian region of Friuli Venezia Giulia: evidence from a hierarchical spatial model estimation

Empirical Economics ◽

10.1007/s00181-017-1372-9 ◽

2018 ◽

Vol 56 (3) ◽

pp. 987-1009

Author(s):

Luca Grassetti ◽

Laura Rizzi

Keyword(s):

Health Care ◽

Spatial Model ◽

Health Care Expenditures ◽

Model Estimation ◽

Italian Region ◽

Individual Health ◽

Hierarchical Spatial Model ◽

Friuli Venezia Giulia

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A Hierarchical Spatial Model for Constructing Wind Fields from Scatterometer Data in the Labrador Sea

Case Studies in Bayesian Statistics - Lecture Notes in Statistics ◽

10.1007/978-1-4612-1502-8_11 ◽

1999 ◽

pp. 367-382 ◽

Cited By ~ 14

Author(s):

J. A. Royle ◽

L. M. Berliner ◽

C. K. Wikle ◽

R. Milliff

Keyword(s):

Spatial Model ◽

Labrador Sea ◽

Wind Fields ◽

Hierarchical Spatial Model

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A HIERARCHICAL SPATIAL MODEL OF AVIAN ABUNDANCE WITH APPLICATION TO CERULEAN WARBLERS

Ecological Applications ◽

10.1890/03-5247 ◽

2004 ◽

Vol 14 (6) ◽

pp. 1766-1779 ◽

Cited By ~ 98

Author(s):

Wayne E. Thogmartin ◽

John R. Sauer ◽

Melinda G. Knutson

Keyword(s):

Spatial Model ◽

Avian Abundance ◽

Hierarchical Spatial Model ◽

Cerulean Warblers

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Hierarchical spatial model for 2D range data based room categorization

2016 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2016.7487650 ◽

2016 ◽

Cited By ~ 1

Author(s):

Peter Ursic ◽

Ales Leonardis ◽

Danijel Skocaj ◽

Matej Kristan

Keyword(s):

Spatial Model ◽

Range Data ◽

Hierarchical Spatial Model

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Modeling Inter-Subject Variability in fMRI Activation Location: A Bayesian Hierarchical Spatial Model

Biometrics ◽

10.1111/j.1541-0420.2008.01190.x ◽

2009 ◽

Vol 65 (4) ◽

pp. 1041-1051 ◽

Cited By ~ 32

Author(s):

Lei Xu ◽

Timothy D. Johnson ◽

Thomas E. Nichols ◽

Derek E. Nee

Keyword(s):

Spatial Model ◽

Bayesian Hierarchical ◽

Subject Variability ◽

Hierarchical Spatial Model

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A Bayesian hierarchical spatial model for dental caries assessment using non-Gaussian Markov random fields

The Annals of Applied Statistics ◽

10.1214/16-aoas917 ◽

2016 ◽

Vol 10 (2) ◽

pp. 884-905 ◽

Cited By ~ 1

Author(s):

Ick Hoon Jin ◽

Ying Yuan ◽

Dipankar Bandyopadhyay

Keyword(s):

Dental Caries ◽

Random Fields ◽

Spatial Model ◽

Markov Random Fields ◽

Bayesian Hierarchical ◽

Gaussian Markov Random Fields ◽

Markov Random ◽

Hierarchical Spatial Model ◽

Non Gaussian ◽

Caries Assessment

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Probabilistic hierarchical spatial model for mine locations and its application in robotic landmine search

IEEE/RSJ International Conference on Intelligent Robots and System ◽

10.1109/irds.2002.1041470 ◽

2003 ◽

Cited By ~ 6

Author(s):

Y. Zhang ◽

M. Schervish ◽

H. Choset

Keyword(s):

Spatial Model ◽

Hierarchical Spatial Model

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A spatial model of the phonological and semantic representations involved in printed word recognition

PsycEXTRA Dataset ◽

10.1037/e537102012-334 ◽

2001 ◽

Author(s):

Aicha Rouibah ◽

Sabine Ploux

Keyword(s):

Word Recognition ◽

Spatial Model ◽

Semantic Representations ◽

Printed Word

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Comparison of random field strengths in (1-x)SrTiO3-xBiFeO3 and (1-x)SrTiO3-xBaTiO3 relaxor ferroelectrics by means of acoustic emission

The European Physical Journal Applied Physics ◽

10.1051/epjap/2020200075 ◽

2020 ◽

Vol 92 (2) ◽

pp. 20401

Author(s):

Evgeniy Dul'kin ◽

Michael Roth

Keyword(s):

Acoustic Emission ◽

Random Field ◽

Electric Fields ◽

Bias Field ◽

Relaxor Ferroelectrics ◽

External Bias ◽

Field Strengths

In relaxor (1-x)SrTiO3-xBiFeO3 ferroelectrics ceramics (x = 0.2, 0.3 and 0.4) both intermediate temperatures and Burns temperatures were successfully detected and their behavior were investigated in dependence on an external bias field using an acoustic emission. All these temperatures exhibit a non-trivial behavior, i.e. attain the minima at some threshold fields as a bias field enhances. It is established that the threshold fields decrease as x increases in (1-x)SrTiO3-xBiFeO3, as it previously observed in (1-x)SrTiO3-xBaTiO3 (E. Dul'kin, J. Zhai, M. Roth, Phys. Status Solidi B 252, 2079 (2015)). Based on the data of the threshold fields the mechanisms of arising of random electric fields are discussed and their strengths are compared in both these relaxor ferroelectrics.

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