Results 271 to 280 of about 3,472,659 (303)

SMEM Algorithm for Mixture Models

Neural Computation, 2000
We present a split-and-merge expectation-maximization (SMEM) algorithm to overcome the local maxima problem in parameter estimation of finite mixture models. In the case of mixture models, local maxima often involve having too many components of a mixture model in one part of the space and too few in another, widely separated part of the space.
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton   +3 more
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Fuzzy Gaussian Mixture Models

Pattern Recognition, 2012
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Zhaojie Ju, Honghai Liu 0001
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Finite Mixture Models for Proportions

Biometrics, 1997
Six data sets recording fetal control mortality in mouse litters are presented. The data are clearly overdispersed, and a standard approach would be to describe the data by means of a beta-binomial model or to use quasi-likelihood methods. For five of the examples, we show that beta-binomial model provides a reasonable description but that the fit can ...
Brooks, SP, Morgan, BJ, Ridout, MS, Pack, SE   +3 more
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ON MIXTURE MEMORY GARCH MODELS

Journal of Time Series Analysis, 2013
We propose a new volatility model, which is called the mixture memory generalized autoregressive conditional heteroskedasticity (MM‐GARCH) model. The MM‐GARCH model has two mixture components, of which one is a short‐memory GARCH and the other is the long‐memory fractionally integrated GARCH.
Li, M, Li, WK, Li, G
openaire   +4 more sources

Jeffreys prior for mixture models [PDF]

, 2014
Mixture models may be a useful and flexible tool to describe data with a complicated structure, for instance characterized by multimodality or asymmetry. In a Bayesian setting, it is a well established fact that one need to be careful in using improper prior distributions, since the posterior distribution may not be proper.
GRAZIAN, CLARA, C. P. Robert
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Mixture Models

2017
Vermunt, J.K., Paas, L.J.
openaire   +2 more sources

Mixture Models

2008
Bruce G. Lindsay, Michael Stewart
openaire   +1 more source

Investigating Response Heterogeneity in the Context of Positively and Negatively Worded Items by Using Factor Mixture Modeling

Organizational Research Methods, 2020
Chester Chun Seng Kam, Xitao Fan
exaly  

Conditional Median-Based Bayesian Growth Mixture Modeling for Nonnormal Data

Behavior Research Methods, 2022
Jeffrey Boichuk, Seohyun Kim, Xin Tong
exaly  

Finite Mixture Models

Technometrics, 2002
openaire   +2 more sources