COMPUTATIONAL METHODS PUBLICATIONS

Kevin H. Knuth's Publications

2008

  1. Knuth K.H., Gençağa D., Rossow W.B. 2008. Information-Theoretic Methods for Identifying Relationships among Climate Variables, Proceedings of the Earth-Sun System Technology Conference (ESTC 2008), Adelphi, MD.
    [pdf 172K]

2007

  1. Knuth, K.H., Tse M.K., Choinsky J., Maunu H.A, Carbon D.F. 2007. Bayesian source separation applied to identifying complex organic molecules in space. Proceedings of the IEEE Statistical Signal Processing Workshop, Madison WI, August 2007.
    [pdf 247K]

  2. Knuth K.H., Erner P.M., Frasso S. 2007. Designing intelligent instruments. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 203-211.
    [pdf 222K]

2006

  1. Knuth K.H. 2006. Optimal Data-Based Binning for Histograms. Draft Paper.
    [pdf (444 kb)]

  2. Bollimunta A., Knuth K.H., Ding M. 2006. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains. J Neurosci Methods, 160(1):163-70.
    [pdf 671K]

  3. Knuth K.H., Shah A.S., Truccolo W., Ding M., Bressler S.L., Schroeder C.E. 2006. Differentially Variable Component Analysis (dVCA): Identifying Multiple Evoked Components using Trial-to-Trial Variability. J Neurophysiol. 95: 3257-3276. DOI:10.1152/jn.00663.2005
    [pdf 799K]

  4. Chen Y., Bressler S.L., Knuth K.H., Truccolo W.A., Ding M. 2006. Stochastic modeling of neurobiological time series: power, coherence, Granger causality, and separation of evoked responses from ongoing activity. Chaos 16(2):26113. This article was also selected to be published in the July 1, 2006 issue of the Virtual Journal of Biological Physics Research.

  5. Knuth K.H., Castle J.P., Wheeler K.R. 2006. Identifying excessively rounded or truncated data. (Invited paper), Proceedings of the 17 th meeting of The International Association for Statistical Computing—European Regional Section: Computational Statistics (COMPSTAT 2006), Rome, Italy, Aug 2006.
    [pdf 933K]

2005

  1. Knuth K.H. 2005. Informed source separation: A Bayesian tutorial. In: B. Sankur, A.E. Çetin, M. Tekalp, E. Kuruoglu (eds.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey.
    [pdf (81 kb)]

  2. Knuth K.H., Gotera A., Curry C.T., Huyser K.A., Wheeler K.R., Rossow W.B. 2005. Revealing relationships among relevant climate variables with information theory. Proceedings of the Earth-Sun System Technology Conference (ESTC 2005), Adelphi, MD.
    [pdf 1.1M]

  3. Knuth K.H. 2005. Toward question-asking machines: The logic of questions and the inquiry calculus. Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Barbados.
    [pdf 958K]

2004

  1. Huyser K.A., Knuth K.H., Fischer B., Schumann J., Granquist-Fraser D., Hajian A.R. 2004. Discovering planetary nebula geometries: Explorations with a hierarchy of models. To be published in: R. Fischer, V. Dose (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004, AIP Conference Proceedings, American Institute of Physics, Melville NY.
    [ps.zip (590 kb)][pdf (259kb)]

2003

  1. Knuth K.H. 2003. Intelligent machines in the 21st century: Automating the processes of inference and inquiry. Phil. Trans. Roy. Soc. Lond. A, Millennium Issue. 361(1813):2859-73.
    [pdf (369kb)]

  2. Truccolo W.A., Knuth K.H., Shah A.S., Bressler S.L., Schroeder C.E., and Ding M. 2003. Estimation of single-trial multi-component ERPs: Differentially variable component analysis. Biol. Cybern. 89(6): 426-38.
    [PubMed link] [pdf (717kb)]

  3. Fischer B., Hajian A.R., Knuth K.H., Schumann J. 2003. Automatic derivation of statistical data analysis algorithms: Planetary nebulae and beyond. In: G.J. Erickson, Y. Zhai (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jackson Hole WY 2003, AIP Conference Proceedings 707, American Institute of Physics, Melville NY, pp. 276-294.
    [pdf (221 kb)]

  4. Gardner D., Abato M., Knuth K.H., and Robert A. 2003. Neuroinformatics for neurophysiology: The role, design, and use of databases. In: Databasing the Brain, edited by S.H. Koslow and S. Subramaniam. John Wiley, New York.

2002

  1. Shah A.S., Knuth K.H., Truccolo W.A., Ding M., Bressler S.L., Schroeder C.E. 2002. A Bayesian approach to estimating coupling between neural components: evaluation of the multiple component event related potential (mcERP) algorithm. In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 23-38.
    [pdf (1.05 mb)]

2001

  1. Gardner D., Abato M., Knuth K.H., DeBellis R., and Erde S.M. 2001. Dynamic publication model for neurophysiology databases. (Invited submission). Phil. Trans. Roy. Soc. Lond. B Biol. Sci. 356(1412):1229-47.
    [PubMed link ][pdf 3.3M]

  2. Gardner D., Knuth K.H., Abato M., Erde S.M., White M., DeBellis R., Gardner E.P. 2001. Common data model for neuroscience data and data model exchange. J Am Med Inform Assoc. 8(1):17-33.
    [PubMed]

  3. Knuth K.H., Truccolo, W.A., Bressler S.L., Ding M. 2001. Separation of multiple evoked responses using differential amplitude and latency variability. Proceedings of the Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego CA.
    [arXiv link] [pdf (248 kb)]

  4. Knuth K.H. 2001. Inductive logic: From experimental design to data analysis. In: R.L. Fry and M. Bierbaum (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Baltimore 2001, AIP Conference Proceedings 617, American Institute of Physics, Melville NY, pp. 392-404.
    [arXiv link] [pdf (58 kb)]

  5. Truccolo, W.A., Knuth K.H., Ding M., Bressler S.L. 2001. Bayesian estimation of amplitude, latency and waveform of single trial cortical evoked components. In: R.L. Fry and M. Bierbaum (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Baltimore 2001, AIP Conference Proceedings 617, American Institute of Physics, Melville NY, pp. 64-73.
    [pdf (100 kb)]

  6. Knuth K.H. 2001. Source separation as an exercise in logical induction. In: A. Mohammad-Djafari (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris 2000, American Institute of Physics, Melville NY, pp. 340-349.
    [arXiv link] [pdf (48 kb)]

1999

  1. Knuth K.H. 1999. A Bayesian approach to source separation. In: J.-F. Cardoso, C. Jutten and P. Loubaton (eds.), Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation: ICA'99, Aussios, France, Jan. 1999, pp. 283-288.
    [arXiv link] [pdf (218 kb)]

  2. Knuth K.H., Vaughan H.G., Jr. 1999. Convergent Bayesian formulations of blind source separation and electromagnetic source estimation. In: W. von der Linden, V. Dose, R. Fischer and R. Preuss (eds.), Maximum Entropy and Bayesian Methods, Munich 1998, Dordrecht. Kluwer, pp. 217-226.
    [pdf (204 kb)]

1998

  1. Knuth K.H. 1998. Bayesian source separation and localization. In: A. Mohammad-Djafari (ed.), SPIE'98 Proceedings: Bayesian Inference for Inverse Problems, San Diego, July 1998, pp. 147-158.
    [arXiv link] [pdf (363 kb)]
Contact

Dr. Kevin H. Knuth
PH 211
Department of Physics
University at Albany
Albany NY 12222
USA

Phone: +1-518-442-4653
FAX: +1-518-442-5260
Email: kknuth@albany.edu