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Results 1-25 of 113 (Search time: 0.086 seconds).
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Title
Author(s)
Issue Date
Views
Mixed-state causal modeling for statistical KL-based motion texture tracking
Journal:
Pattern Recognition Letters
Crivelli, T
CernuschiFrias, B
Bouthemy, P
Yao, JF
2010
144
Parametric estimation of a boolean segment process with stochastic restoration estimation
Journal:
Journal of Computational and Graphical Statistics
Chadœuf, J
Senoussi, R
Yao, JF
2000
177
Multi-parameter automodels and their applications
Journal:
Biometrika
Hardouin, C
Yao, JF
2008
180
On likelihood estimation for discretely observed Marko jump processes
Journal:
Australian and New Zealand Journal of Statistics
Dehay, D
Yao, JF
2007
156
Inference for high-dimensional factor models
Proceeding/Conference:
The European Meeting of Statisticians
Yao, JJ
2013
34
Identifying the number of factors from singular values of a large sample auto-covariance matrix
Proceeding/Conference:
Seminar Series in Finance and Statistics, College of Business and Economics, The Australian National University
Yao, JJ
2019
30
Simultaneous motion detection and background reconstruction with a conditional mixed-state markov random field
Journal:
International Journal of Computer Vision
Crivelli, T
Bouthemy, P
CernuschiFrías, B
Yao, JF
2011
110
Test de différence de contrastes et somme pondérée de khi-deux
Journal:
Canadian Journal of Statistics
Bayomog, S
Guyon, X
Hardouin, C
Jianfeng, Y
1996
On stability of nonlinear AR models with Markov switching | Stabilité des modèles AR fonctionnels à régime Markovien
Journal:
Comptes Rendus de l'Academie des Sciences - Series I: Mathematics
Yao, JF
Attali, JG
1998
On determining the number of spikes in a high-dimensional spiked population model
Passemier, D
Yao, JJ
2011
57
On estimation of the population spectral distribution from a high-dimensional sample covariance matrix
Journal:
Australian and New Zealand Journal of Statistics
Bai, Z
Chen, J
Yao, J
2010
120
SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples
Journal:
Nucleic Acids Research
YALAMANCHILI, HK
LI, Z
WANG, P
Wong, MP
Yao, JJ
Wang, JJ
2014
77
On estimation of the noise variance in high dimensional probabilistic principal component analysis
Journal:
Journal of the Royal Statistical Society. Series B: Statistical Methodology
Passemier, D
Li, Z
Yao, JJ
2017
68
Large Covariance and Autocovariance Matrices, By Arup Bose and Monika Bhattacharjee. Published by Taylor & Francis Group, LLC, Boca Raton, London, New York, 2019. ISBN: 9781138303867 (HARDBACK)
Journal:
Journal of Time Series Analysis
Yao, J
2020
30
Learning mixed-state Markov models for statistical motion texture tracking
Proceeding/Conference:
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Crivelli, T
Bouthemy, P
CernuschiFrías, B
Yao, JF
2009
117
Mixed-state auto-models and motion texture modeling
Journal:
Journal of Mathematical Imaging and Vision
Bouthemy, P
Hardouin, C
Piriou, G
Yao, J
2006
On testing for high-dimensional white noise
Journal:
The Annals of Statistics
Li, Z
Lam, C
Yao, J
Yao, Q
2019
39
High-dimensional limits of eigenvalue distributions for general Wishart process
Journal:
Annals of Applied Probability
SONG, J
Yao, JJ
YUAN, W
2020
76
Testing the independence of two random vectors where only one dimension is large
Journal:
Statistics
Li, W
Chen, J
Yao, JJ
2017
71
On the convergence of the spectral empirical process of Wigner matrices
Journal:
Bernoulli
Bai, ZD
Yao, J
2005
181
Substitution principle for CLT of linear spectral statistics of high-dimensional sample covariance matrices with applications to hypothesis testing
Journal:
The Annals of Statistics
Zheng, S
Bai, Z
Yao, J
2015
56
On the T2 control chart with estimated parameters
Journal:
Quality Technology & Quantitative Management
Chen, J
Yang, H
Yao, JJ
2018
76
Recent advances in analysis of large sample covariance matrices and applications
Proceeding/Conference:
International Symposium on Theories and Methodologies for Large Complex Data
Yao, JJ
2019
Mixed-state Markov random fields for motion texture modeling and segmentation
Proceeding/Conference:
Proceedings - International Conference on Image Processing, ICIP
Crivelli, T
CernuschiFrias, B
Bouthemy, P
Yao, JF
2006
On estimation of the noise variance in a high-dimensional signal detection model
Proceeding/Conference:
IEEE/SP Workshop on Statistical Signal Processing Proceedings
Yao, JJ
Passemier, D
2014
44