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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	130
	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	168
	Multi-parameter automodels and their applications Journal:Biometrika	Hardouin, C Yao, JF	2008	169
	On likelihood estimation for discretely observed Marko jump processes Journal:Australian and New Zealand Journal of Statistics	Dehay, D Yao, JF	2007	145
	Inference for high-dimensional factor models Proceeding/Conference:The European Meeting of Statisticians	Yao, JJ	2013	18
	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	104
	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	48
	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	82
	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	112
	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	62
	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	54
	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	106
	Mixed-state auto-models and motion texture modeling Journal:Journal of Mathematical Imaging and Vision	Bouthemy, P Hardouin, C Piriou, G Yao, J	2006	207
	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	77
	Testing the independence of two random vectors where only one dimension is large Journal:Statistics	Li, W Chen, J Yao, JJ	2017	55
	On the convergence of the spectral empirical process of Wigner matrices Journal:Bernoulli	Bai, ZD Yao, J	2005	171
	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	45
	On the T2 control chart with estimated parameters Journal:Quality Technology & Quantitative Management	Chen, J Yang, H Yao, JJ	2018	54
	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	11
	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	95
	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	39