Jianfeng   YAO

Associate Professor

Statistics

Preprints

  1. D. Passemier and J-F. Yao, 2012.   On the detection of the number of signals with possibly equal strengths in the high-dimensional case.     Submitted.
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  3. W.M. Li, J.Q. Chen, Y.L. Qin, J.F. Yao and Z.D. Bai, 2012.   Estimation of the population spectral distribution from a large dimensional sample covariance matrix.     Submitted.
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  5. W.M. Li and J.F. Yao, 2012.   A local moments estimation of the spectrum of a large dimensional covariance matrix.     Submitted.
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  7. C. Wang, H. Liu, R. Davis, J.-F. Yao and W. K. Li, 2012.   Threshold Poisson autoregression.     Submitted.
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  9. W.M. Li and J.F. Yao, 2012.   On generalized expectation based estimation of a population spectral distribution from high-dimensional data     Submitted.
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  11. Q. Wang and J.F. Yao, 2012.   On the sphericity test with large-dimensional observations.     Submitted.
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Recent journal papers

  1. Z. D. Bai, D. Jiang, J. Yao and S. Zheng, 2012.  Testing linear hypotheses in high-dimensional regressions.     Statistics,     On-line First    
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  3. D. Passemier and J-F. Yao, 2012.   On determining the number of spikes in a high-dimensional spiked population model.     Random Matrix: Theory and Applciations 1, 1150002
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  5. Z. D. Bai and J.-F. Yao, 2011.   On sample eigenvalues in a generalized spiked population model.     J. Multivariate Analysis, doi:10.1016/j.jmva.2011.10.009
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  7. J-F. Yao, 2011.   A note on a Marcenko-Pastur type theorem for time series.     Statist. and Probab. Letters, doi:10.1016/j.spl.2011.08.011
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  9. J. Chen, B. Delyon and J.-F. Yao, 2011.   On a model selection problem from high-dimensional sample covariance matrices.     J. Multivariate Anal. 102, 1388–1398
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  11. T. Crivelli, · P. Bouthemy, · B. Cernuschi-Frias and J. Yao, 2011.   Simultaneous motion detection and background reconstruction with a conditional mixed-state Markov random field.     Int. J. Computer Vision 94, 295–316
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  13. L. Truquet and J.-F. Yao, 2011.   On the quasi-likelihood estimation for random coefficient autoregressions.     Statistics, doi:10.1080/02331888.2010.541557
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  15. T. Crivelli, · P. Bouthemy, · B. Cernuschi-Frias and J. Yao, 2010.   Mixed-state causal modeling for statistical KL-based motion texture tracking.     Pattern Recognition Letters 31 (14), 2286-2294
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  17. Z.D. Bai, J. Chen and J.-F. Yao, 2010.   On estimation of the population spectral distribution from a high-dimensional sample covariance matrix.     Australian & New Zeland Journal of Statistics , 52, 423-437
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  19. M. Kachour and J.-F. Yao, 2009. First-order rounded integer-valued autoregressive (RINAR(1)) process. J. Time Series Analysis 30 (4), 417-448
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  21. Z. D. Bai, D. Jiang, J. Yao and S. Zheng, 2009.   Corrections to LRT on Large Dimensional Covariance Matrix by RMT. Ann. Statistics, 37 (6B) , 3822–3840
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  23. C. Hardouin and J.-F. Yao, 2008.   Spatial modelling for mixed-state observations     Electronic J. Statistics 2 , 213-233
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  25. C. Hardouin and J.-F. Yao, 2008.   Multi-parameter auto-models and their applications.     Biometrika 95 , 335-349
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  27. Z. D. Bai and J.-F. Yao, 2008.   Central limit theorems for eigenvalues in a spiked population model.     Annales Inst. Henri Poincaré 44 (3), 447-474
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Refereed papers in int. conferences

  1. B. Belmudez, V. Prinet, J.-F. Yao, P. Bouthemy and X. Descombes, 2009. Conditional mixed-state model for structural change analysis from very high resolution optical images. International Geoscience and Remote Sensing Symposium (IGARSS) Volume 2, 2009, Pages II988-II991
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  3. Th. Crivelli, P. Bouthemy, B. Cernuschi-Frias, and J.F. Yao, 2009. Learning mixed-state Markov models for statistical motion texture tracking. In Proc. ICCV'09, Int. Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA'09), Kyoto, Japan, October 2009.
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  5. Th. Crivelli, G. Piriou, B. Cernuschi-Frias, P. Bouthemy, J.F. Yao, 2008. Simultaneous motion detection and background reconstruction with a mixed-state conditional Markov random field. In Proc. Eur. Conf. Computer Vision (ECCV'08), Volume 1, Pages 113-126, Marseille, France, October 2008.
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  7. Th. Crivelli, B. Cernuschi-Frias, P. Bouthemy, J.F. Yao, 2008. Temporal modeling of motion textures with mixed-states Markov chains. In Proc. Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'08), Pages 881-884, Las Vegas, USA, April 2008.
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  9. Th. Crivelli, B. Cernuschi-Frias, P. Bouthemy, J.-F. Yao, 2008.. Recognition of dynamic video contents based on motion texture statistical models. In Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), Volume 1, Pages 283-289, Funchal, Portugal, January 2008.
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