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Bayesian hierarchical modeling
Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior…
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Spatial analysis
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Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders
Ming Teng
,
F. Nathoo
,
T. Johnson
2017
Corpus ID: 88514701
Statistical modeling of fMRI data is challenging as the data are both spatially and temporally correlated. Spatially…
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2016
2016
Bayesian hierarchical models in Stata
N. Balov
2016
Corpus ID: 64073262
Bayesian analysis is a flexible statistical methodology for inferring properties of unknown parameters by combining observational…
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2015
2015
Risk and Regret of Hierarchical Bayesian Learners
Jonathan Huggins
,
J. Tenenbaum
International Conference on Machine Learning
2015
Corpus ID: 15101265
Common statistical practice has shown that the full power of Bayesian methods is not realized until hierarchical priors are used…
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2013
2013
Bayesian Hierarchical Modeling with 3PNO Item Response Models
Yanyan Sheng
,
Todd C. Headrick
2013
Corpus ID: 56379035
Fully Bayesian estimat ion has been developed for unidimensional IRT models. In this context, prior distributions can be…
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2013
2013
Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy
S. Jensen
,
Jared R Park
,
Alexander Braunstein
,
Jon D. McAuliffe
2013
Corpus ID: 19428671
A major challenge for the treatment of human immunodeficiency virus (HIV) infection is the development of therapy-resistant…
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2010
2010
Incorporating temporal variation in the growth of red abalone (Haliotis rufescens) using hierarchical Bayesian growth models
Y. Jiao
,
L. Rogers‐Bennett
,
Ian TaniguchiI. Taniguchi
,
J. B. Butler
,
Paul Crone
2010
Corpus ID: 73549192
Many marine species exhibit temporal variation in individual growth. Yearly variation in growth has been identified for red…
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2008
2008
Analyzing Spatial Panel Data of Cigarette Demand: A Bayesian Hierarchical Modeling Approach
Yanbing Zheng
,
Jun Zhu
,
Dong Li
Journal of Data Science
2008
Corpus ID: 17410258
Analysis of spatial panel data is of great importance and inter- est in spatial econometrics. Here we consider cigarette demand…
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2004
2004
Bayesian methods for assessing system reliability: models and computation.
T. Graves
,
M. Hamada
2004
Corpus ID: 60599847
There are many challenges with assessing the reliability of a system today. These challenges arise because a system may be aging…
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Review
2003
Review
2003
A BAYESIAN HIERARCHICAL APPROACH TO MODEL THE RANK OF HAZARDOUS INTERSECTIONS FOR BICYCLISTS USING THE GIBBS SAMPLER
F. V. D. Bossche
,
G. Wets
,
E. Lesaffre
,
K. Leuven
2003
Corpus ID: 54669874
In this paper, Bayesian hierarchical modeling techniques are used to identify and rank hazardous intersections for bicycles in…
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2003
2003
Calibration of Automatically Generated Items Using Bayesian Hierarchical Modeling.
Matthew S. Johnson
,
S. Sinharay
2003
Corpus ID: 52830634
4 For complex educational assessments, there is an increasing use of item families, which are groups of related items. However…
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