Research Papers (88 total)

2016

  1. Knuth K.H. 2016. Understanding the Electron. In Press in "Information and Interaction" edited by Dean Rickles and Ian Durham. arXiv:1511.07766 [physics.gen-ph]
  2. Placek B., Knuth K.H., Angerhausen D. 2016. Combining Photometry From Kepler and TESS to Improve Short-Period Exoplanet Characterization. In Press at the Publications of the Astronomical Society of the Pacific. arXiv:1511.01082 [astro-ph.IM]
  3. Knuth K.H. 2016. Why square roots of probabilities? A. Giffin (ed.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Potsdam, NY, USA, July 2015, AIP Conference Proceedings, American Institute of Physics, Melville NY. In press.
    arXiv:1603.08427 [math.GM]
  4. Placek B., Knuth K.H. 2016. The detection and characterization of exoplanets with EXONEST. A. Giffin (ed.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Potsdam, NY, USA, July 2015, AIP Conference Proceedings, American Institute of Physics, Melville NY. In press.
    arXiv:1310.6764 [astro-ph.EP]
  5. Walsh J., Knuth K.H. 2016. An information physics derivation of geodesic equations from the influence network. A. Giffin (ed.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Potsdam, NY, USA, July 2015, AIP Conference Proceedings, American Institute of Physics, Melville NY. In press.

2015

  1. Knuth K.H., Habeck M., Malakar N.K., Mubeen A.M., Placek B. 2015. Bayesian evidence and model selection. Digital Signal Processing, 47:50-67; doi: 10.1016/j.dsp.2015.06.012, arXiv:1411.3013 [stat.ME]
  2. Gencaga D., Rossow W.B., Knuth K.H. 2015. Recipes for the estimation of information flow in a dynamical system. Entropy, 2015, 17, 438-470; doi:10.3390/e17010438
  3. Placek B., Knuth K.H., Angerhausen D. 2015. Characterization of Kepler-91b and the Investigation of a Potential Trojan Companion Using EXONEST, The Astrophysical Journal, 814(2): 147; doi: 10.1088/0004-637X/814/2/147 , arXiv:1511.01068 [astro-ph.EP]
  4. Knuth K.H. 2015. The deeper roles of mathematics in physical laws, FQXi 2015 Essay Contest Entry: “Trick or Truth: the Mysterious Connection between Physics and Mathematics”. FQXi Contest Site
  5. Knuth K.H. 2015. Information-based physics and the influence network. In: It from Bit or Bit from It? On Physics and Information, Springer Frontiers Collection, Springer-Verlag, Heidelberg pp. 65-78. (FQXi 2013 Essay Contest Entry - Third Place Prize). arXiv:1308.3337 [quant-ph]
  6. Knuth K.H. 2015. The problem of motion: the statistical mechanics of Zitterbewegung. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Amboise, France, Sept 2014, AIP Conf. Proc. 1641, AIP, Melville NY, pp. 588-594.
    arXiv:1411.1854 [quant-ph]
  7. Walsh J.L., Knuth K.H. 2015. Information-based physics, influence and forces. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Amboise, France, Sept 2014, AIP Conf. Proc. 1641, AIP, Melville NY, pp. 538-547
    arXiv:1411.2163 [quant-ph]
  8. Placek B., Knuth K.H. 2015. A Bayesian analysis of HAT-P-7b using the EXONEST algorithm. A. Mohammad-Djafari, F. Barbaresco (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), Amboise, France, Sept 2014, AIP Conf. Proc. 1641, AIP, Melville NY, pp. 447-455.
    arXiv:1409.4152 [astro-ph.EP]

2014

  1. Knuth K.H., Bahreyni N. 2014. A potential foundation for emergent space-time, Journal of Mathematical Physics, 55, 112501. doi:10.1063/1.4899081, arXiv:1209.0881 [math-ph]
  2. Placek B., Knuth K.H., Angerhausen D. 2014. EXONEST: Bayesian model selection applied to the detection and characterization of exoplanets via photometric variations, Astrophysical Journal, 795(2): 112. doi:10.1088/0004-637X/795/2/112, arXiv:1310.6764 [astro-ph.EP]
  3. Knuth K.H. 2014. Information-based physics: an observer-centric foundation. Contemporary Physics, (Invited Submission). doi:10.1080/00107514.2013.853426. arXiv:1310.1667 [quant-ph]

2013

  1. Malakar N.K., Gladkov D., and Knuth K.H. 2013. Modeling a sensor to improve its efficacy, Journal of Sensors, vol. 2013, Article ID 481054, 11 pages, 2013. doi:10.1155/2013/481054, arXiv:1303.4385 [physics.ins-det]

2012

  1. Knuth K.H. 2012. Inferences about interactions: Fermions and the Dirac equation, arXiv:1212.2332 [quant-ph]
  2. Knuth K.H., Bahreyni N. 2012. The physics of events: A potential foundation for emergent space-time, arXiv:1209.0881v1 [math-ph].
  3. Knuth K.H., Skilling J. 2012. Foundations of inference, Axioms 1(1):38-73.

2011

  1. Goyal P., Knuth K.H. 2011. Quantum theory and probability theory: their relationship and origin in symmetry, Symmetry 3(2):171-206.
  2. Malakar N.K., Knuth K.H., Lary D.J. 2011. Maximum joint entropy and information-based collaboration of automated learning machines. P. Goyal and K. H. Knuth (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Canada, July 2011, AIP Conference Proceedings, American Institute of Physics, Melville NY. arXiv:1111.3421 [stat.ML]
  3. Maunu H.A., Knuth K.H. 2011. Maximum entropy production in Daisyworld. P. Goyal and K. H. Knuth (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Canada, July 2011, AIP Conference Proceedings, American Institute of Physics, Melville NY.

2010

  1. Knuth K.H., Bahreyni N. 2010. A derivation of special relativity from causal sets. arXiv:1005.4172v2 [math-ph]
  2. Goyal P., Knuth K.H., Skilling J. 2010. Why quantum theory is complex, Phys. Rev. A 81, 022109. (pdf 350K)
  3. Knuth K.H. 2010. Autonomous science platforms, IEEE Xplore, Cognitive Information Processing 2010 (CIP 2010), Island of Elba, Italy, June 2010. (pdf 3.2M)
  4. Knuth K.H., Bahreyni N. 2010. The order-theoretic origin of special relativity. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings, American Institute of Physics, Melville NY, in press. (pdf 78K)
  5. Malakar N.K., Knuth K.H. 2010. Entropy-based search algorithm for experimental design. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings, American Institute of Physics, Melville NY, in press. http://arxiv.org/abs/1008.4973
  6. Center, J.L., Jr., Knuth K.H. 2010. Bayesian visual odometry. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings, American Institute of Physics, Melville NY, in press.
  7. Vu L., Hajian A.R., Calamai P.H., Cenko A.T., Rasheed S., Kim J.K., Piron C., So S.S., Meade J.T., Knuth K.H. 2010. Reconstructing MR images from under- or unevenly-sampled k-space. P.J. Bones, M.A. Fiddy, R.P. Millane (eds.) Image Reconstruction from Incomplete Data VI, 7800 (1):780006.

2009

  1. Knuth K.H. 2009. Measuring on lattices. P. Goggans, C.-Y. Chan (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Oxford, MS, USA, 2009, AIP Conference Proceedings 1193, American Institute of Physics, Melville NY, 132-144. (pdf 227K)
  2. Goyal P., Knuth K.H., Skilling L. 2009. The Origin of Complex Quantum Amplitudes. P. Goggans, C.-Y. Chan (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Oxford, MS, USA, 2009, AIP Conference Proceedings 1193, American Institute of Physics, Melville NY, 89-96. (pdf 112K)
  3. Malakar N.K., Mesiti A.J., Knuth K.H. 2009. The spatial sensitivity function of a light sensor. P. Goggans, C.-Y. Chan (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Oxford, MS, USA, 2009, AIP Conference Proceedings 1193, American Institute of Physics, Melville NY, 352-359. (pdf 110K)

2008

  1. Knuth K.H. 2008. The origin of probability and entropy, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, São Paulo, Brazil, 2008, AIP Conference Proceedings , American Institute of Physics, Melville NY, in press. (pdf 173K)
  2. Gençağa D., Carbon D.F., Knuth K.H. 2008. Characterization of Interstellar Organic Molecules, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, São Paulo, Brazil, 2008, AIP Conference Proceedings , American Institute of Physics, Melville NY, in press. (pdf 332K)
  3. 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. Hajian A.R., Behr B.B., Cenko A.T., Olling R.P., Mozurkewich D., Armstrong J.T., Pohl B., Petrossian S., Knuth K.H., Hindsley R.B., Murison M., Efroimsky M., Dantowitz R., Kozubal M., Currie D.G., Nordgren T.A., Tycner C., McMillan R.A. 2007. Initial results from the USNO dispersed Fourier Transform spectrograph. ApJ, 661:616–633. arXiv:0611495 [astro-ph]
  2. Hajian A.R., Movit S.M., Trofimov D., Balick B., Terzian Y., Knuth K.H., Granquist-Fraser D., Huyser K.A., Jalobeanu A., McIntosh D., Jaskot A.E., Palen S., Panagia N. 2007. An atlas of [ N II] and [O III] images and spectra of planetary nebulae. Astrophys. J., Suppl. Ser., 169:289–327.
  3. Burk R., Haas A., Moxley F.I., Knuth K.H., Ring B. 2007. Towards commanding unmanned ground vehicle movement in unfamiliar environments using unconstrained English: Initial research results, 11 th Annual International Command and Control Research and Technology Symposium, Cambridge UK, Sept 2007. (pdf 125K)
  4. 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)
  5. Knuth K.H. 2007. Lattice theory, measures and probability. 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, 23-36. (pdf 134K)
  6. 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)
  7. Tse M.K, Choinsky J., Carbon D.F. and Knuth K.H. 2007. Estimating background spectra. 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, 322-327. (pdf 159K)]
  8. Bollimunta A., Knuth K.H., Ding M. 2007. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains. J Neurosci Methods, 160(1):163-70. (pdf 671K)
  9. Rangan P., Knuth K.H. 2007. Analysis of intrusion detection and attack proliferation in computer networks. 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, 443-449. (pdf 187K)
  10. Trejo L.J., Knuth K.H., Prado R., Rosipal R., Kubitz K., Kochavi R., Matthews B. 2007. EEG-Based Estimation of Alertness and Mental Fatigue: Convergent Evidence for a Three-State Model, 12th International Conference on Human-Computer Interaction, Beijing China, July 2007.

2006

  1. Knuth K.H. 2006. Optimal Data-Based Binning for Histograms. Draft Paper. pdf (578K)
  2. 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)
  3. Wheeler K.R., Chang M.H., and Knuth K.H. 2006. Gesture based control and EMG decomposition. IEEE Trans Sys, Man, and Cybernetics, Part C, 36(4):503-514. (pdf 654K)
  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. 2006. Valuations on lattices and their application to information theory. (Invited paper), Proceedings of the 2006 IEEE World Congress on Computational Intelligence (IEEE WCCI 2006), Vancouver, BC, Canada, July 2006. (pdf 855K)
  6. 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 954K)

2005

  1. Knuth K.H.2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245-274. DOI: 10.1016/j.neucom.2004.11.039 (pdf 477K)
  2. Lakatos P., Shah A.S., Knuth K.H., Ulbert I., Karmos G., Schroeder C.E. 2005. An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J Neurophysiol. 94(3):1904-11. (pdf 823K)
  3. 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 81K)
  4. Ding M., Knuth K.H., Chen Y., Bressler S.L., Schroeder C.E. 2005. Coping with trial-to-trial variability of event-related signals: A Bayesian approach. In: B. Sankur , A.E. Çetin, M. Tekalp , E. Kuruoğlu (ed.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey. (pdf 1.05M)
  5. Bollimunta A., Knuth K.H., and Ding M. 2005. Coping with trial-to-trial variability of event-related neuronal spike trains: A Bayesian perspective. In: K.H. Knuth, A.E. Abbas, R.D. Morris, J.P. Castle (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, San José, California, USA, 2005, AIP Conference Proceedings 803, American Institute of Physics, Melville NY, pp. 543-551. (pdf 686K)
  6. 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)
  7. 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. Shah A.S., Bressler S.L., Knuth K.H., Ding M., Mehta A.D., Ulbert I., Schroeder C.E. 2003. Neural dynamics and the fundamental mechanisms of event-related brain potentials. Cerebral Cortex. (feature article)14: 476-483. (PubMed link) (pdf 457K)
  2. Raine A., Ishikawa S.S, Arce E., Lencz T., Knuth K.H., Bihrle S., Lacasse L., and Colletti, P. 2004. Hippocampal structural asymmetry in unsuccessful psychopaths. Biol. Psychiatry. 55(2): 185-91. (PubMed link)
  3. Knuth K.H. 2004. Measuring questions: Relevance and its relation to entropy.In: R. Fischer, V. Dose, R. Preuss, U. v. Toussaint (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004,AIP Conference Proceedings 735, American Institute of Physics, Melville NY, pp. 517-524. arXiv:physics/0409084v1 [physics.data-an]
  4. 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. (pdf 264K)

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.
  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 717K)
  3. Peshkovsky, A., Knuth K.H., Helpern, J.A. 2003. Motion correction in MRI using an apparatus for dynamic angular position tracking (ADAPT). Magn Reson Med. 49(1):138-43. (PubMed link)
  4. Knuth K.H. 2003. Deriving laws from ordering relations. 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. 204-235. arXiv:physics/0403031v1 [physics.data-an] (pdf 206K)
  5. Shah A.S., Knuth K.H., Lakatos P., Schroeder C.E. 2003. Lessons from applying differentially variable component analysis (dVCA) to electroencephalographic activity. 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. 167-181. (pdf 445 kb)
  6. 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)
  7. 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. Knuth K.H. 2002. What is a question? 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. 227-242. arXiv:physics/0403089 [physics.data-an] (pdf 367 kb)
  2. Knuth K.H., Hajian A.R. 2002. Hierarchies of models: toward understanding planetary nebulae. 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. 92-103. (pdf 745 kb)
  3. 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)
  4. Truccolo, W.A., Ding M., Knuth K.H., Nakamura, R. and Bressler S.L. 2002. Variability of cortical evoked responses: implications for the analysis of functional connectivity. Clinical Neurophysiol. 113(2):206-26. (PubMed link) (pdf 433 kb)
  5. Szeszko P.R., Strous R., Goldman R.S., Ashtari M., Knuth K.H., Lieberman J.A., Bilder R.M. 2002. Neuropsychological correlates of hippocampus volumes in first-episode schizophrenia. Am J Psychiatry. 159(2):217-26. (PubMed link)

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 link)
  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:physics/0204085 [physics.med-ph] (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:physics/0204068 [physics.data-an] (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:physics/0204075 [physics.data-an] (pdf 48 kb)
  7. Hajian, A.R. and Knuth K.H. 2001. Three-dimensional morphologies of planetary nebulae. In: A. Mohammad-Djafari (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris 2000, American Institute of Physics, Melville NY, pp. 569-578. (pdf 299 kb)
  8. Knuth K.H. 2001. Application of Bayesian inference to the study of hierarchical organization in self-organized complex adaptive systems. In: G.J. Erickson, J.T. Rychert and C.R. Smith (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Boise 1999, American Institute of Physics, Melville NY, pp. 264-273. (pdf 257 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:physics/0205032 [physics.data-an] (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:physics/0205069 [physics.data-an] (pdf 363 kb)
  2. Knuth K.H. 1998. Difficulties applying recent blind source separation techniques to EEG and MEG. In: G.J. Erickson, J.T. Rychert and C.R. Smith (eds.), Maximum Entropy and Bayesian Methods, Boise 1997, Kluwer, Dordrecht, pp. 209-222. (pdf 421 kb)
  3. Knuth K.H. 1998. Mathematics of distortion product otoacoustic emission generation. In: Neurotransmission and Hearing Loss: Basic Science and Clinical Applications, ed. C.I. Berlin, Singular Publishing Group, Inc., San Diego, pp. 149-159. (pdf 41 kb)