IDEAS home Printed from https://ideas.repec.org/r/spr/psycho/v19y1954i2p97-116.html
   My bibliography  Save this item

Multivariate information transmission

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yoshio Takane, 1987. "Analysis of contingency tables by ideal point discriminant analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(4), pages 493-513, December.
  2. repec:hig:wpaper:98sti2019 is not listed on IDEAS
  3. Abhinav Vepa & Amer Saleem & Kambiz Rakhshan & Alireza Daneshkhah & Tabassom Sedighi & Shamarina Shohaimi & Amr Omar & Nader Salari & Omid Chatrabgoun & Diana Dharmaraj & Junaid Sami & Shital Parekh &, 2021. "Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients," IJERPH, MDPI, vol. 18(12), pages 1-22, June.
  4. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
  5. Inga Ivanova, 2019. "Evolutionary Dynamics of Investors Expectations and Market Price Movement," Papers 1912.11216, arXiv.org, revised Dec 2023.
  6. Antonella Tutino, 2013. "Rationally inattentive consumption choices," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(3), pages 421-439, July.
  7. Loet Leydesdorff & Igone Porto-Gomez, 2019. "Measuring the expected synergy in Spanish regional and national systems of innovation," The Journal of Technology Transfer, Springer, vol. 44(1), pages 189-209, February.
  8. Loet Leydesdorff, 2011. "“Structuration” by intellectual organization: the configuration of knowledge in relations among structural components in networks of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 499-520, August.
  9. Izabella Szakálné Kanó & Zsófia Vas & Slávka Klasová, 2023. "Emerging Synergies in Innovation Systems: Creative Industries in Central Europe," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 450-471, March.
  10. Lengyel, Balázs & Leydesdorff, Loet, 2015. "The Effects of FDI on Innovation Systems in Hungarian Regions: Where is the Synergy Generated?," MPRA Paper 73945, University Library of Munich, Germany.
  11. Carlos A. L. Pires & Abdel Hannachi, 2017. "Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality," Complexity, Hindawi, vol. 2017, pages 1-23, August.
  12. Jeffrey A Edlund & Nicolas Chaumont & Arend Hintze & Christof Koch & Giulio Tononi & Christoph Adami, 2011. "Integrated Information Increases with Fitness in the Evolution of Animats," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-13, October.
  13. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.
  14. Loet Leydesdorff & Lutz Bornmann, 2020. "“Interdisciplinarity” and “Synergy” in the Œuvre of Judit Bar-Ilan," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1247-1260, June.
  15. Van Puyenbroeck, Tom & De Bruyne, Karolien & Sels, Luc, 2012. "More than ‘Mutual Information’: Educational and sectoral gender segregation and their interaction on the Flemish labor market," Labour Economics, Elsevier, vol. 19(1), pages 1-8.
  16. Leydesdorff, Loet & Fritsch, Michael, 2006. "Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics," Research Policy, Elsevier, vol. 35(10), pages 1538-1553, December.
  17. Irad Ben-Gal & Marcelo Bacher & Morris Amara & Erez Shmueli, 2023. "A Nonparametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles," INFORMS Joural on Data Science, INFORMS, vol. 2(2), pages 99-115, October.
  18. Frank Huettner, & Tamer Boyaci, & Yalcin Akcay, 2016. "Consumer choice under limited attention when alternatives have different information costs," ESMT Research Working Papers ESMT-16-04_R2, ESMT European School of Management and Technology, revised 28 Feb 2018.
  19. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
  20. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
  21. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
  22. Songyot Nakariyakul, 2019. "A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-17, February.
  23. Louis Verny & Nadir Sella & Séverine Affeldt & Param Priya Singh & Hervé Isambert, 2017. "Learning causal networks with latent variables from multivariate information in genomic data," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-25, October.
  24. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
  25. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
  26. Lucien Preuss & Helmut Vorkauf, 1997. "The knowledge content of statistical data," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 133-161, March.
  27. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2014. "Synergy cycles in the Norwegian innovation system: The relation between synergy and cycle values," Papers 1409.2760, arXiv.org.
  28. Inga Ivanova, 2022. "The relation between complexity and synergy in the case of China: different ways of predicting GDP growth in a complex and adaptive system," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 195-215, February.
  29. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
  30. Petras Rupšys, 2019. "Understanding the Evolution of Tree Size Diversity within the Multivariate Nonsymmetrical Diffusion Process and Information Measures," Mathematics, MDPI, vol. 7(8), pages 1-22, August.
  31. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
  32. Xiaojun Hu & Xian Li & Ronald Rousseau, 2021. "Mathematical reflections on Triple Helix calculations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8581-8587, October.
  33. Loet Leydesdorff & Ping Zhou, 2014. "Measuring the knowledge-based economy of China in terms of synergy among technological, organizational, and geographic attributes of firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1703-1719, March.
  34. Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
  35. Frank Huettner, & Tamer Boyaci, & Yalcin Akcay, 2016. "Consumer choice under limited attention when alternatives have different information costs," ESMT Research Working Papers ESMT-16-04_R3, ESMT European School of Management and Technology, revised 26 Sep 2018.
  36. Inga A. Ivanova & Loet Leydesdorff, 2014. "A simulation model of the Triple Helix of university–industry–government relations and the decomposition of the redundancy," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 927-948, June.
  37. Loet Leydesdorff & Han Woo Park & Balazs Lengyel, 2014. "A routine for measuring synergy in university–industry–government relations: mutual information as a Triple-Helix and Quadruple-Helix indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 27-35, April.
  38. Gutiérrez Ortega, Armando & Mungaray Lagarda, Alejandro & Osorio Novela, Germán, 2022. "Midiendo la incertidumbre en sistemas de innovación de Triple Hélice [Measuring uncertainty in Triple Helix innovation systems]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 310-325, June.
  39. W. Garner & William McGill, 1956. "The relation between information and variance analyses," Psychometrika, Springer;The Psychometric Society, vol. 21(3), pages 219-228, September.
  40. Frank Huettner, & Tamer Boyaci, & Yalcin Akcay, 2016. "Consumer choice under limited attention when options have different information costs," ESMT Research Working Papers ESMT-16-04, ESMT European School of Management and Technology, revised 04 Oct 2016.
  41. Lucio-Arias, Diana & Leydesdorff, Loet, 2009. "The dynamics of exchanges and references among scientific texts, and the autopoiesis of discursive knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 261-271.
  42. Dennis Knepp & Doris Entwisle, 1969. "Testing significance of differences between two chi-squares," Psychometrika, Springer;The Psychometric Society, vol. 34(3), pages 331-333, September.
  43. Mariusz Kubkowski & Jan Mielniczuk, 2021. "Asymptotic Distributions of Empirical Interaction Information," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 291-315, March.
  44. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
  45. Porto-Gomez, Igone & Zabala-Iturriagagoitia, Jon Mikel & Leydesdorff, Loet, 2019. "Innovation systems in México: A matter of missing synergies," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.