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PyBatS python code
Bayesian time series & forecasting: 2020+
Time series & forecasting
code & examples from books and courses
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R/GPU package
Simultaneous graphical DLMs : 2016+
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BPS Code
Bayesian predictive synthesis
2014+
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LTM code
Latent threshold dynamic modelling
2011+
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Sparse E code
Random sparse eigenmatrix models for sparse factor analysis
2011+
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SVSAR code
Spatially-varying lattice random field model analysis
2011+
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GPU Code
GPU for massive mixtures
2010+
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BFRM
Sparse Bayesian factor regression models
2006+
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Graphical factor models
Bayesian MAP estimation in sparse graphical factor models
2010+
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MCF imaging code
Model-controlled flooding for image reconstruction and segmentation
2010+
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CellTracer
Automated dynamic image analysis for single cell studies
2007+
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Dynamically explore large graphs & networks
2005+
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Stochastic computation in Gaussian graphical models
2004+
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HIW
Simulation of hyper-inverse Wishart distributions
2007+
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Matrix graphs
MCMC and stochastic model search in matrix graphical models
2009+
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SSS
Shotgun stochastic search in regression models with many variables
2005+
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TVAR
Time series analysis and decomposition in AR and TVAR models
2000+
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DLM-GASP
Multivariate DLMs & GPs for computer model emulation
2009+
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PROPA
Probabilistic biological pathway annotation models
2006+
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CDP
Cluster Dirichlet Process mixture modelling for non-Gaussian clustering
2009+
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OD Flow
Origin-Destination network flow modelling with network traffic data
1998+
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SimTree
Predictive methods using classification and regression
2004+
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BATS
Bayesian forecasting
1984+
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