نتایج جستجو برای: hierarchical bayes modeling

تعداد نتایج: 490045  

Journal: :Journal of multivariate analysis 2009
Malay Ghosh Georgios Papageorgiou Janet Forrester

Based on the notion of predictive influence functions, the paper develops multivariate limited translation hierarchical Bayes estimators of the normal mean vector which serve as a compromise between the hierarchical Bayes and maximum likelihood estimators. The paper demonstrates the superiority of the limited translation estimators over the usual hierarchical Bayes estimators in terms of the fr...

Journal: :Physica D: Nonlinear Phenomena 2017

2008
Gal Elidan Benjamin Packer Geremy Heitz Daphne Koller

When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Bayes framework. As fully Bayesian computations can be difficult and computationally demanding, it is often desirable to use posterior point estimates that facilitate (relatively) efficient prediction. However, the hiera...

2014
Manhyung Han Jae Hun Bang Chris D. Nugent Sally I. McClean Sungyoung Lee

Activity recognition for the purposes of recognizing a user's intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone. Previous studies have reported the difficulty in recognizing life-logs by only using a smartphone due to the challenges with activity modeling and real-time recognition. In addition, recognizing life-logs is di...

2014
Wentao Fan Nizar Bouguila

This paper proposes an online clustering approach based on both hierarchical Dirichlet processes and Dirichlet distributions. The deployment of hierarchical Dirichlet processes allows to resolve difficulties related to model selection thanks to its nonparametric nature that arises in the face of unknown number of mixture components. The consideration of the Dirichlet distribution is justified b...

J. N. K. Rao,

Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...

2012
A. Ian McLeod Hyukjun Gweon

Deseasonalized geophysical time series are often used in time series models (Hipel and McLeod 1994). In this article an optimal method for selecting the deseasonalization transformation is suggested and an R package implementation (McLeod and Gweon 2012) is discussed. Our deseasonalization method may be used with the recently developed periodic autoregression model for daily river flow suggeste...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید