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» Inference for Multiplicative Models
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99
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PIMRC
2008
IEEE
15 years 7 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
112
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
112
Voted
BMCBI
2005
126views more  BMCBI 2005»
15 years 16 days ago
HomoMINT: an inferred human network based on orthology mapping of protein interactions discovered in model organisms
Background: The application of high throughput approaches to the identification of protein interactions has offered for the first time a glimpse of the global interactome of some ...
Maria Persico, Arnaud Ceol, Caius Gavrila, Robert ...
ICSE
2010
IEEE-ACM
15 years 5 months ago
Using dynamic execution traces and program invariants to enhance behavioral model inference
Software behavioral models have proven useful for design, validation, verification, and maintenance. However, existing approaches for deriving such models sometimes overgeneraliz...
Ivo Krka, Yuriy Brun, Daniel Popescu, Joshua Garci...
90
Voted
CSDA
2007
87views more  CSDA 2007»
15 years 18 days ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas