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Bayes, birds and brains: applications of inference and probabilistic modelling

Bayes, birds and brains: applications of inference and probabilistic modelling

Bayes, birds and brains: applications of inference and probabilistic modelling. Stephen Roberts Pattern Analysis & Machine Learning Research Group University of Oxford http://www.robots.ox.ac.uk/~parg. Introduction.

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1.15k views • 97 slides
DCM: Advanced topics

DCM: Advanced topics

DCM: Advanced topics. Rosalyn Moran Wellcome Trust Centre for Neuroimaging Institute of Neurology University College London With thanks to the FIL Methods Group for slides and images. SPM Course 2011 University of Zurich, 16-18 February 2011. Dynamic Causal Modeling (DCM).

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605 views • 53 slides
Variational Bayes 101

Variational Bayes 101

Variational Bayes 101. The Bayes scene. Exact averaging in discrete/small models (Bayes networks) Approximate averaging: - Monte Carlo methods - Ensemble/mean field - Variational Bayes methods. Variational-Bayes .org MLpedia Wikipedia. ISP Bayes:

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821 views • 48 slides
Stefan Arnborg, KTH

Stefan Arnborg, KTH

DD2447, DD3342, fall 2011. Statistical Methods in Applied Computer Science. http://www.nada.kth.se/~stefan. Stefan Arnborg, KTH. SYLLABUS Common statistical models and their use: Bayesian, testing, and fiducial statistical philosophy Hypothesis choice Parametric inference

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402 views • 40 slides
Memoized Online Variational Inference for Dirichlet Process Mixture Models

Memoized Online Variational Inference for Dirichlet Process Mixture Models

Memoized Online Variational Inference for Dirichlet Process Mixture Models. NIPS 2013 Michael C. Hughes and Erik B. Sudderth. Motivation. k=6. k=1 k=2 k=3 Clusters: Points:

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652 views • 30 slides
Bayesian fMRI analysis with Spatial Basis Function Priors

Bayesian fMRI analysis with Spatial Basis Function Priors

Guillaume Flandin & Will Penny. Bayesian fMRI analysis with Spatial Basis Function Priors. Variational Bayes scheme for voxel-specific GLM using wavelet-based spatial priors for the regression coefficients. SPM Homecoming, Nov. 11 2004. Spatial prior using a kernel.

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218 views • 11 slides
Variational Bayesian Inference for fMRI time series

Variational Bayesian Inference for fMRI time series

Variational Bayesian Inference for fMRI time series. Will Penny, Stefan Kiebel and Karl Friston Wellcome Department of Imaging Neuroscience, University College, London, UK. Generalised Linear Model. A central concern in fMRI is that the errors from scan n-1 to scan n are serially correlated

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106 views • 10 slides

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