Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing
暂无分享,去创建一个
Stephen J. Roberts | Matthew Dyson | John Q. Gan | Ji Won Yoon | J. Q. Gan | S. Roberts | M. Dyson | J. Yoon
[1] J. Geweke,et al. Alternative computational approaches to inference in the multinomial probit model , 1994 .
[2] Mübeccel Demirekler,et al. Analysis of single Gaussian approximation of Gaussian mixtures in Bayesian filtering applied to mixed multiple-model estimation , 2007, Int. J. Control.
[3] Gert Pfurtscheller,et al. Brain-computer interface: a new communication device for handicapped persons , 1993 .
[4] K.-R. Muller,et al. Linear and nonlinear methods for brain-computer interfaces , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[5] P. Schmidt,et al. Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .
[6] J Pardey,et al. A review of parametric modelling techniques for EEG analysis. , 1996, Medical engineering & physics.
[7] Pravin K. Trivedi,et al. Regression Analysis of Count Data , 1998 .
[8] Roman Liesenfeld,et al. Time series of count data: modeling, estimation and diagnostics , 2006, Comput. Stat. Data Anal..
[9] M J Stokes,et al. EEG-based communication: a pattern recognition approach. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[10] Stephen J. Roberts,et al. Sequential Bayesian estimation for adaptive classification , 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.
[11] Gerd Ronning,et al. Efficient Estimation of Ordered Probit Models , 1996 .
[12] Andrew A. Weiss,et al. Specification tests in ordered logit and probit models , 1997 .
[13] John Aitchison,et al. THE GENERALIZATION OF PROBIT ANALYSIS TO THE CASE OF MULTIPLE RESPONSES , 1957 .
[14] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[15] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[16] Klaus-Robert Müller,et al. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms , 2004, IEEE Transactions on Biomedical Engineering.
[17] Klaus-Robert Müller,et al. Covariate Shift Adaptation by Importance Weighted Cross Validation , 2007, J. Mach. Learn. Res..
[18] G Pfurtscheller,et al. Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[19] Peter E. Rossi,et al. An exact likelihood analysis of the multinomial probit model , 1994 .
[20] Stephen J. Roberts,et al. Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling , 2009, Neural Networks.
[21] Roman Garnett,et al. Sequential non-stationary dynamic classification with sparse feedback , 2010, Pattern Recognit..
[22] D J McFarland,et al. An EEG-based brain-computer interface for cursor control. , 1991, Electroencephalography and clinical neurophysiology.
[23] Pravin K. Trivedi,et al. Bayesian analysis of the ordered probit model with endogenous selection , 2008 .
[24] Stephen J. Roberts,et al. Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing , 2008, IDEAL.
[25] Reinhold Scherer,et al. A fully on-line adaptive BCI , 2006, IEEE Transactions on Biomedical Engineering.
[26] Stephen J. Roberts,et al. Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation , 2004, IEEE Transactions on Biomedical Engineering.
[27] E R Dougherty,et al. Multi-class cancer classification using multinomial probit regression with Bayesian gene selection. , 2006, Systems biology.
[28] F Babiloni,et al. Linear classification of low-resolution EEG patterns produced by imagined hand movements. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[29] S. Chib,et al. Bayesian analysis of binary and polychotomous response data , 1993 .
[30] Christa Neuper,et al. Hidden Markov models for online classification of single trial EEG data , 2001, Pattern Recognit. Lett..