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TSP
2008
154views more  TSP 2008»
13 years 9 months ago
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
Francois Caron, Manuel Davy, Arnaud Doucet, Emmanu...
CSDA
2007
126views more  CSDA 2007»
13 years 9 months ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal
ICML
2009
IEEE
14 years 10 months ago
Nonparametric factor analysis with beta process priors
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
John William Paisley, Lawrence Carin
CACM
2011
120views more  CACM 2011»
13 years 4 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
14 years 10 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...