Estimation and testing problems in auditory neuroscience via clustering

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Biometrics

• Publication date

  2017-01-18

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1111/biom.12652PMID 28099996
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Improved initialisation of model-based clustering using Gaussian hierarchical partitions

  2015cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• Synaptic transmission between end bulbs of Held and bushy cells in the cochlear nucleus of mice with a mutation in Otoferlin.

  2014cited by this paper
• Synapse elimination and learning rules coregulated by MHC Class I H2-Db

  2014cited by this paper
• mclust Version 4 for R : Normal Mixture Modeling for Model-Based Clustering , Classification , and Density Estimation

  2012cited by this paper
• Auditory nerve fibers excite targets through synapses that vary in convergence, strength, and short-term plasticity.

  2010cited by this paper
• Convergence of Cranial Visceral Afferents within the Solitary Tract Nucleus

  2009cited by this paper
• The EM Algorithm and Extensions: Second Edition

  2008cited by this paper
• The EM Algorithm

  2007cited by this paper
• Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering

  2007cited by this paper
• Loss of binocular responses and reduced retinal convergence during the period of retinogeniculate axon segregation.

  2006cited by this paper
• Permutation, Parametric, and Bootstrap Tests of Hypotheses (3rd ed.)

  2005cited by this paper
• Permutation, Parametric, and Bootstrap Tests of Hypotheses

  2005cited by this paper
• Permutation Methods: A Basis for Exact Inference

  2004cited by this paper
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

  2002cited by this paper
• Principal component analysis for clustering gene expression data

  2001cited by this paper
• Singular value decomposition for genome-wide expression data processing and modeling.

  2000cited by this paper
• The EM algorithm and extensions

  1996cited by this paper
• Receptors underlying excitatory synaptic transmission in slices of the rat anteroventral cochlear nucleus.

  1995cited by this paper
• Displaying the important features of large collections of similar curves

  1992cited by this paper
• Some Tools for Functional Data Analysis

  1991cited by this paper
• Functional synapse elimination in the developing avian cochlear nucleus with simultaneous reduction in cochlear nerve axon branching

  1982cited by this paper
• Estimating the Dimension of a Model

  1978cited by this paper
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

  1977cited by this paper

• No citing papers are available for this paper.