Results 31 to 40 of about 2,481,944 (297)

A conjugate prior for discrete hierarchical log-linear models

, 2009
In Bayesian analysis of multi-way contingency tables, the selection of a prior distribution for either the log-linear parameters or the cell probabilities parameters is a major challenge. In this paper, we define a flexible family of conjugate priors for
Dobra, Adrian, Liu, Jinnan, Massam, Hélène   +2 more
core   +4 more sources

Algorithms for Hierarchical Clustering: An Overview, II [PDF]

, 2017
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models.
Benzécri JP, Bruynooghe M, Gan G, Gordon AD, Jain AK, Juan J, Kohonen T, Le Roux B, Lerman IC, Murtagh F, Murtagh F, Rapoport A, Rham C, Rijsbergen CJ, Rohlf FJ, Sneath PHA, Vicente D, White HD, Wishart D   +18 more
core   +1 more source

Bayesian hierarchical models for linear networks [PDF]

Journal of Applied Statistics, 2020
The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents and study its pattern across the UK motorway network. Two methods have been developed to achieve this aim. First, the motorway-specific intensity is estimated by using a homogeneous Poisson process.
Zainab, Al-Kaabawi, Yinghui, Wei, Rana, Moyeed   +2 more
openaire   +2 more sources

Methods of Hierarchical Clustering [PDF]

, 2011
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models.
Contreras, Pedro, Murtagh, Fionn
core   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Estimation Parameters of Dependence Meta-Analytic Model: New Techniques for the Hierarchical Bayesian Model

Computation, 2022
Dependence in meta-analytic models can happen due to the same collected data or from the same researchers. The hierarchical Bayesian linear model in a meta-analysis that allows dependence in effect sizes is investigated in this paper.
Junaidi, Darfiana Nur, Irene Hudson, Elizabeth Stojanovski   +3 more
doaj   +1 more source

Hierarchical Models as Marginals of Hierarchical Models

, 2016
We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are conditionally ...
Montufar, Guido, Rauh, Johannes
core   +1 more source

The intermittent behavior and hierarchical clustering of the cosmic mass field [PDF]

, 2001
The hierarchical clustering model of the cosmic mass field is examined in the context of intermittency. We show that the mass field satisfying the correlation hierarchy $\xi_n\simeq Q_n(\xi_2)^{n-1}$ is intermittent if $\kappa < d$, where $d$ is the ...
Batchelor G. K., Cole S., Coles P., Jones B., Kirkwood J. C., Mallat S. G., Shandarin S. F., Shraiman B. I., White S. D. M., Zeldovich Ya. B.   +9 more
core   +2 more sources

Hematopoietic (stem) cells—The elixir of life?

FEBS Letters, EarlyView.
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo, Jonah Anderson, Emilie Dinh Vedrenne, Noël Yeh Martín, Jette Lengefeld   +4 more
wiley   +1 more source

dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble

Journal of Statistical Software, 2021
Traditional regression models, including generalized linear mixed models, focus on understanding the deterministic factors that affect the mean of a response variable.
Simon Bonner, Han-Na Kim, David Westneat, Ariane Mutzel, Jonathan Wright, Matthew Schofield   +5 more
doaj   +1 more source