Starting in 2014, I will only agree to give talks that are filmed and made available online. This is my attempt at "open source" presentations. (nb. There may be some backlog from talks I agreed to before 2014, but delivered in 2014.)


Invited Special Presentation: Privacy and Big Data at the Joint Statistical Meetings, Boston, MA, August 6, 2014.
  • Privacy, Big Data, and the Public Good: Frameworks for Engagement
  • Keynote address at "reproducibility@XSEDE: An XSEDE14 Workshop." Atlanta, GA, July 13, 2014.
  • Reproducibility in Computational Science: Why? What? and How?
  • Book Preview: Privacy, Big Data, And The Public Good: Frameworks For Engagement. NYU, June 16, 2014.
  • Law, Ethics, & Economics of Big Data (book website, video of my talk, and the panel video)
  • Reproducibility Issues in Research with Animals and Animal Models: A Workshop The missing 'R': Reproducibility in a Changing Research Landscape. National Academy of Sciences, June 5, 2014.
  • Reproducibility and Publishing. (video, and here at 43:40)
  • Keynote, Information, Interaction, and Influence: Digital Science Workshop on Research Information Technologies and their Role in Advancing Science. Computation Institute, University of Chicago, May 19, 2014.
  • How Science is Different: Digitizing for Discovery
  • Relevance of Population Neuroscience for Understanding Human Development, University of Michigan, Ann Arbor, May 16, 2014.
  • Open Science and Neuroscience
  • DataEDGE, UC Berkeley, May 9, 2014.
  • Relying on Data Science: Reproducible Research and the Role of Policy (video).
  • Data, Society, and Inference Seminar, UC Berkeley, April 14, 2014.
  • When Should We Trust the Results of Data Science? (video)
  • UC Berkeley I School (announcement), April 9, 2014.
  • Toward Reproducible Computational Science: Reliability, Re-use, and Readability. (video)
  • SIAM Conference on Uncertainty Quantification, Panel Organizer and Participant, The Reliability of Computational Research Findings: Reproducible Research, Uncertainty Quantification, and Verification & Validation, Savannah, GA, April 1, 2014.
  • Verification, Validation & Error Quantification, and Reproducible Computational Science: An Outline of a New Methodological Approach (video).
  • SIAM Conference on Uncertainty Quantification, Minitutorial on VV&EQ and Reproducible Computational Science, Savannah, GA, April 1, 2014.
  • An Overview of Reproducible Research, Uncertainty Quantification and Verification & Validation (video).
  • The University of Newcastle, Newcastle, Australia, March 28, 2014.
  • Reproducibility in Experimental Mathematics.
  • Royal Melbourne Institute of Technology, Melbourne, Australia, March 27, 2014.
  • Reproducibility in Computational Science.
  • Keynote, Computational and Simulation Sciences and eResearch, Annual Conference, Melbourne, Australia, March 26, 2014.
  • Reproducibility in Computational Science: Opportunities and Challenges.
  • CSIRO, North Ryde, Sydney, Australia, March 24, 2014.
  • Reproducibility in Bioinformatics: Sharing High-dimensional Data and Workflows.
  • Statistics and Genomics Seminar, UC Berkeley, March 13, 2014.
  • Data and Code Sharing in Bioinformatics: From Bermuda to Toronto to Your Laptop (video).
  • Berkeley Statistics Annual Research Symposium (BSTARS), UC Berkeley, March 10, 2014.
  • Integrating Real World Applications in the Classroom: Experiences from the Master's Capstone Course.
  • UC Berkeley, Department of Statistics Seminar, Feb 26, 2014.
  • Reproducibility in Science: Reliability in Statistical and Data Driven Research (video).
  • GSLIS, UIUC, Feb 17, 2014.
  • Toward Reproducible Computational Science: Big Data, Big Computation, and Reliable Discovery.
  • Publish or perish? The future of scholarly publishing and careers, UC Davis, Feb 13, 2014.
  • Reproducibility in Science: Why all the Fuss? (video here, the "Innovations in Peer Review" section).
  • The Center for Law and the Bioscences Workshop Series, Stanford Law School, Feb 4, 2014.
  • Do Software Patents Slow Scientific Discovery?
  • Reproducibility in Image and Signal Processing, Telecom ParisTech, Paris, Jan 16, 2014.
  • What is Reproducibility?
  • Open Science: Driving Forces and Practical Realities, Library of Congress, DC, Nov 12, 2013.
  • What Does Open Science Mean Today?
  • Open Access Seminar, Purdue University, Oct 25, 2013.
  • Scientific Reproducibility: Opportunities and Challenges for Open Data and Code.
  • Open Access Seminar, University of Illinois at Urbana-Champagne, Oct 24, 2013.
  • Opportunities and Challenges for Open Data and Code: Facilitating Reproducibility.
  • Statistics Department Seminar, University of Minnesota, Oct 10, 2013.
  • Reproducibility in Computational Science.
  • Open Knowledge Conference, From Open Data to Open Science: Policy, Literacy and Citizen Engagement, Geneva, Sep 17, 2013.
  • Why Science is an Open Endeavor (video here).
  • Session on "Sharing data, code and publications - Making research reproducible," 59th International Statistics Institute World Congress, Hong Kong, Aug 30, 2013.
  • The Reproducible Research Movement in Statistics.
  • Intellectual Property Scholars Conference, Cardozo School of Law, New York, NY, Aug 9, 2013.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.
  • " Workshop on Reproducible Research in Signal, Image and Geometric Processing," Les Treilles, Var, France, July 22-27, 2013. See our picture here.
  • Reproducible Research.
  • Workshop on " The Emerging Intersection between the Physical Sciences and Oncology," Cold Spring Harbor Laboratory, New York, July 15, 2013.
  • Big Data and Legal Barriers to Scientific Discovery: Patient & Data Owner Interactions.
  • Keynote, Open Repositories 2013, Charlottetown, Prince Edward Island, Canada, July 9, 2013.
  • Re-use and Reproducibility: Opportunities and Challenges.
  • Keynote, Galaxy Community Conference, Oslo, Norway, July 1, 2013.
  • Computational Reproducibility is Crucial for Scientific Software Platforms.
  • Future of Scientific Publishing: Open Access to Manuscripts and Big Data, Stanford University, June 27, 2013.
  • Open Access to Data: Policy Mandate and Scientific Imperative.
  • Council on Governmental Relations Open Access Panel, Washington DC, June 6, 2013.
  • Public Access Policy: Data, Code, and the Research Narrative.
  • Workshop on Software Infrastructure for Reproducibility in Science, NYU, May 30, 2013.
  • CyberInfrastructure for Scientific Integrity.
  • National Academies Public Comment Meeting concerning Public Access to Federally Supported R&D Data, Washington D.C., May 16, 2013.
  • Why Public Access to Data is So Important. Video available here.
  • University of Washington eScience Symposium, Seattle, WA, March 15, 2013.
  • Open Data, Open Methods, and the Promise of Large Scale Validation.
  • Testimony submitted to the House Committee on Science, Space and Technology for the March 5, 2013 hearing on Scientific Integrity & Transparency. (Summary document here) Video on the hearing website or here (~600MB)
    Reproducibility and Computationally Intensive, Data-driven Research session at SIAM Computational Science and Engineering, Boston, MA, Feb 28, 2013.
  • Disseminating Reproducible Computational Research: Tools, Innovations, and Best Practices.
  • Works In Progress Intellectual Property (WIPIP), Seton Hall University School of Law, New Jersey, Feb 13, 2013.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.
  • Open Access Day at the University of Wisconsin - Milwaukee, Feb 8, 2013.
  • Digital Scholarship in Scientific Research: Open Questions in Reproducibility and Curation.
  • Scholarly Communication Workshop, University of Pittsburgh, Jan 14, 2013.
  • Technology and the Scientific Method: The Credibility Crisis in Computational Science.
  • 2012

    Panel Discussion, Open Economics International Workshop, University of Cambridge, Dec 17, 2012.
  • Facilitating Reproducibility: Open Data and Code in Economics.

  • Invited Session, ICERM Workshop on "Reproducibility in Computational and Experimental Mathematics," Brown University, Dec 10, 2012.
  • A Brief History of the Reproducibility Movement.

  • Seminar, School of Information, University of Michigan, Dec 6, 2012.
  • Scientific Knowledge in a Computational World: Facilitating Reproducibility and Transparency.

  • Biostatistics Seminar, University of Wisconsin-Madison, Nov 16, 2012.
  • Transparency in Computational Science.

  • "From Data to Solutions" IGERT Seminar, Columbia University, Nov 13, 2012.
  • Data-Intensive Science: Methods for Reproducibility and Dissemination.

  • Conference on Empirical Legal Studies, Stanford Law School, Stanford, CA, Nov 10, 2012.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.

  • Conference on Empirical Legal Studies , Stanford Law School, Stanford, CA, Nov 10, 2012.
  • Discussant Notes: Pornography and Divorce.

  • Centre mathématiques et leurs applications (CMLA), Ecole normale supérieure de Cachan, Cachan, France, Nov 7, 2012.
  • Disseminating Numerically Reproducible Research.

  • Université Orléans, Orleans, France, Nov 6, 2012.
  • The Reproducible Research Movement: Crisis and Solutions.

  • Analyzing and Improving Collaborative eScience with Social Networks (eSoN 12), Workshop held in conjunction with IEEE e-Science 2012, Chicago, Oct 8, 2012.
  • RunMyCode.org: a Novel Dissemination and Collaboration Platform for Executing Published Computational Results.

  • The 4th EMBO Meeting, Nice, France, Sept 24, 2012.
  • Towards Reproducible Science: Policy and a Path Forward

  • The 1st Global Thematic IASC Conference on the Knowledge Commons, Louvain-la-Neuve, Belgium, Sept 12, 2012.
  • Journal Policy and Reproducible Computational Research

  • Council on Library and Information Resources Summer Seminar on Data Curation, Bryn Mawr College, PA, August 2, 2012.
  • Digitization in Science: The Vital Role of Archiving

  • "How to Share Research Data: Views from Practitioners - Invited Panel", Joint Statistical Meetings, San Diego, CA, July 30, 2012.
  • Empowering the Observed: Policies to Facilitate Data Sharing

  • Numerical Cosmology 2012, DAMPT, Cambridge, UK, July 18, 2012.
  • Open Methodology and Reproducibility in Computational Science

  • Keynote, PDE Software Frameworks, Muenster, Germany, June 20, 2012.
  • Reproducible Results: Challenges for Computational Science and the Scientific Method,

  • AALS Workshop on When Technology Disrupts Law: How do IP, Internet and Bio Law Adapt?, Berkeley CA, June 12, 2012.
  • Big Data and Reproducing Scientific Results,

  • Keynote, 74th EAGE Conference & Exhibition: Open-source E+P Software - Six Years Later, Copenhagen, Denmark, June 8, 2012.
  • The Central Role of Geophysics in the Reproducible Research Movement,

  • The Future World Heritage Digital Mathematics Library: Plans and Prospects, National Academies of Science, Washington, DC, June 2, 2012.
  • Copyright and MetaData in the World Heritage Digital Mathematical Library,

  • Gruter Institute for Law and the Behavioral Research, Lake Tahoe, CA, May 22, 2012.
  • Intellectual Property and Innovation in Computational Science: Dissemination of Ideas and Methodology,

  • School of Information Seminar, UC Berkeley, Berkeley, CA, April 27, 2012.
  • Building the Reproducible Computational Science Movement: Catalysing Action through Policy, Software Tools, and Ideas,

  • Neyman Seminar, Department of Statistics, UC Berkeley, Berkeley, CA, April 25, 2012.
  • The Reproducible Computational Science Movement: Tools, Policy, and Results,

  • Dean's Lecture, UC Berkeley School of Information, Berkeley, CA, Feb 1, 2012.
  • The Credibility Crisis in Computational Science: An Information Issue, (mp3 audio recording),

  • Friday Seminar: NASA Goddard Institute for Space Studies, New York City, NY, Jan 27, 2012.
  • Reproducibility in Computational Science: Standards and Expectations,
  • 2011

    7th International Digital Curation Conference, University of Bath, Bristol, UK, Dec 6, 2011.
  • Reproducible Research: A Digital Curation Agenda, (video: vimeo),

  • Plenary Keynote, CyberInfrastructure Days, University of Michigan, Dec 1, 2011.
  • The Credibility Crisis in Computational Science: A Call to Action, (video: youtube),

  • National Science Foundation, Advisory Committee on CyberInfrastructure, Washington D.C., Nov 29, 2011.
  • Preliminary Report on Journal Policy and Reproducible Computational Research,

  • Discussant, Conference on Empirical Legal Studies, Northwestern Law School, Nov 5, 2011.
  • Comments on "Measuring Racial Profiling",

  • NYU Stern, Statistics Research Seminar, Oct 28, 2011.
  • Reproducible Research in Computational Science: Strategies for Innovation,

  • The Future of Data: Open Access and Reproducibility, University of Arizona, Tucson, AZ, Oct 25, 2011.
  • Framing Science Policy: Reproducible Research, not Open Data,

  • Keynote, Open Science Summit, Computer History Museum, Mountain View, CA, Oct 22, 2011.
  • Transparency in Scientific Discovery: Innovation and Knowledge Dissemination, (video: fora.tv, youtube),

  • Sustaining the Digital Research Enterprise, National Institutes for Health, Oct 18, 2011.
  • Open Challenges to Open Science,

  • Expert Panel on Data Management and Federal Funding, Columbia University, Sept 27, 2011.
  • Data Management and Sharing Policies in the NSF and the NIH, (YouTube video),

  • NYSPI Biostatistics Seminar, Columbia University, Sept 20, 2011.
  • The Credibility Crisis in Computational Science: Accountability and Public Health, (YouTube video),

  • FQXi Setting Time Aright, Session on "Truth," Copenhagen, Sept 1, 2011.
  • Establishing Scientific Facts (YouTube video),

  • ICIAM 2011: Reproducible Research in Computational Science: What, What and How, Vancouver, British Columbia, July 20, 2011.
  • What is Reproducible Research? The Practice of Science Today and the Scientific Method,

  • Community Forum on Reproducible Research Policies, Vancouver, British Columbia, July 16, 2011.
  • Funding Agency Policy and the Credibility Crisis in Computational Science,

  • AMP 2011, Reproducible Research: Tools and Strategies for Scientific Computing, Vancouver, British Columbia, July 15, 2011.
  • Scientific Practice Today and the Scientific Method: Responding to the Credibility Crisis, (YouTube video),

  • AMP 2011, Reproducible Research: Tools and Strategies for Scientific Computing, Vancouver, British Columbia, July 15, 2011.
  • Basics of Intellectual Property for Computational Scientists,

  • ICSA 2011 Applied Statistics Symposium, Law and Statistics, June 27, 2011.
  • How Technology is (Rapidly) Expanding the Scope of the Law in Statistics,

  • University of California at Riverside, Computer Science and Engineering Colloquia, May 16, 2011.
  • Tools for Academic Research: Resolving the Credibility Crisis in Computational Science,

  • Caltech Physics, Mathematics, and Astronomy's Physics Research Conference Series, May 12, 2011.
  • Technology and the Scientific Method: Tools and Policies for Addressing the Credibility Crisis in Computational Science,

  • Harvard University's Digital Scholarship Summit, May 5, 2011.
  • Framing Ideas for the Digital Future of Science,

  • National Science Board Expert Panel Discussion on Data Policy, Washington, DC, Mar 28, 2011.
  • Scientific Reproducibility: First Steps and Guiding Questions,

  • National Academies workshop on "The Future of Scientific Knowledge Discovery in Open Networked Environments," Washington, DC, Mar 10, 2011.
  • Facilitating Scientific Discovery in the Digital Age,

  • SIAM Conference on Computational Science and Engineering, Mini-symposium on "Verifiable, Reproducible Research and Computational Science," Reno, NV, March 4, 2011:
  • Intellectual Contributions to Digitized Science: Implementing the Scientific Method,

  • AAAS Symposium "The Digitization of Science: Reproducibility and Interdisciplinary Knowledge Transfer," Washington, DC, February 19, 2011:
  • Policies for Scientific Integrity and Reproducibility: Data and Code Sharing,

  • UCLA Department of Statistics Seminar Series, January 25, 2011:
  • Intellectual Property and Computational Science,
  • Guest lecture in UCLA Department of Information Sciences, January 25, 2011:
  • Reproducibility in Computational Science: Framing the Concept,
  • 2010

    Princeton University, "Big Data: Public Policy and the Exploding Digital Corpus," November 30, 2010:
  • The Coming Dark Ages: Preserving our Scientific Knowledge, (video of my talk, starts at 49:10 to 1:16:34)

  • National Science Foundation Workshop "Changing the Conduct of Science in the Information Age," November 12, 2010:
  • Data Access: Digital Technology and Multiple Scientific Communities,

  • Remarks presented before The National Academies Committee on The Impact of Copyright Policy on Innovation in the Digital Era, Washington DC, Oct 15, 2010:
  • Remarks

  • IP Scholars Conference, UC Berkeley, CA, August 2010:
  • Why Copyleft isn't Right for Scientific Code, (audio of the talk - 12mins)

  • SciFOO, Google, Mountain View, CA, July 2010:
  • How Technology is Changing the Scientific Method

  • Open Science Summit, UC Berkeley, CA, July 2010:
  • Two Ideas for Open Science (forget Open Data!), (video of opening panel, video of my talk)

  • Colloquium at CERN, Geneva, Switzerland, July 2010:
  • Massive Data, the Digitization of Science, and Reproducibility of Results, (video or here),

  • ICML Workshop on Machine Learning Open Source Software, Keynote, Haifa, Israel, June 2010:
  • Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing, (video)

  • Workshop on Algorithms for Modern Massive Datasets, Stanford University, Poster, June 2010:
  • The Scientific Method and Massive Data: Reproducibility of Results,

  • IASSIST 2010: Social Data and Social Networking, Cornell University, June 2010:
  • Reproducibility of Computational Results: Opening Code and Data,

  • Gov 2.0 Expo, Washington DC, May 2010:
  • Opening Government Funded Knowledge Creation: Increasing Transparency and Scientific Integrity,

  • UC Berkeley School of Information Dean's Lecture, May 2010:
  • The Digitization of Science and the Degradation of the Scientific Method (audio here),

  • UC Berkeley School of Information Guest Lecture, April 2010:
  • Open Licensing and Scientific Reproducibility,

  • New England Statistics Symposium, Harvard University, April 2010:
  • Chaired Session on Reproducibility: Scientific Integrity and Reproducibility: Data and Code Sharing,

  • The New Biology: Pathways to Convergence in the Life Sciences, MIT/Kauffman Seminar for Senior Congressional and Executive Branch Staff, April 2010:
  • Innovation and Openness in Science and the Exceptional Role of the Biological Sciences,

  • Columbia Statistics Departmental Seminar, March 2010:
  • Massive Computation and Statistics: Underdetermined Systems and Reproducibility,

  • Yale Statistics Departmental Seminar, March 2010:
  • Computational Research and the Scientific Method: A Third Branch?,

  • Acesso Livre a Informacao Cientifica, Creative Commons Portugal, February 2010:
  • Applying the Creative Commons Philosophy to Scientific Innovation,

  • Institute for Computational Engineering and the Sciences Seminar Series, UT Austin, February 2010:
  • Scientific Reproducibility and Software,

  • ScienceOnline2010, Research Triangle Park, North Carolina, January 16, 2010:
  • Intellectual Property Issues in Publishing, Sharing, and Blogging Science,
  • 2009

    Gerstein Lab Journal Club, Yale Bioinformatics, December 10, 2009:
  • From Bermuda to Toronto to New Haven: Data and Code Sharing in Bioinformatics,

  • Data and Code Sharing Roundtable, Yale Law School, November 21, 2009:
  • Data and Code Sharing in Computational Science,

  • Panel Discussant, Engaging Data Conference, MIT Senseable Lab, October 2009:
  • Video,

  • FOO Camp, Sebastopol, CA, August 2009 (I spoke from the slides, but never delivered them during the discussion):
  • Tools for Facilitating Code and Data Release in Scientific Research,

  • Ignite Talk @FOO Camp, Sebastopol, CA, August 2009 (5 minute talk, 20 slides that move forward automatically every 15 seconds):
  • Coding for Massive Computation in Science,

  • Intellectual Property Scholars Conference, Cardozo School of Law, New York City, August 2009:
  • Legal Attribution and Academic Citation: Congruence of Licensing in Academic Research

  • Science 2.0, Software Carpentry, University of Toronto, July 2009:
  • How Computational Science is Changing the Scientific Method,
  • Video from Toronto talk (scroll down) (or download the .flv file directly here).

  • SciFOO 2009, GooglePlex, CA, July 2009:
  • Reproducibility and Computational Science: The Real Story of Code and Data Sharing,
  • General video explaining SciFOO.

  • Communia Conference 2009: Global Science & Economics of Knowledge-Sharing Institutions, Torino, Italy, June 2009:
  • The Reproducible Research Standard: Reducing Legal Barriers to Scientific Knowledge and Innovation,

  • Creative Commons Technology Summit, Torino, Italy, June 2009:
  • Legal Attribution and Academic Citation: The Promise of Facilitated CC License Compliance,

  • International Open and User Innovation Workshop, Hamburg, Germany, June 2009:
  • Opening the Black Box: Sharing in the 'Republic of Science',

  • International Communications Association (ICA), Chicago, May 2009:
  • Openness and the Internet Explosion in Iran,

  • Scientific Software Days (Keynote), Texas Advanced Computing Center, University of Texas at Austin, May 2009:
  • The Impact of Computational Science on the Scientific Method,

  • Workshop on Intellectual Property Law and Open and User Innovation, MIT, May 2009:
  • Free Revealing in Computational Science,

  • 3rd IEEE/ACM International Conference on Information and Communication Technologies and Development, Doha, Qatar, April 2009:
  • Global Information and Communication Technology and Democratic Tendency (ICTD09 scholarship recipient and nominated for best paper),
  • Press: Qatar Tribune

  • Berkman Luncheon Series, March 2009:
  • The Future of Computational Science: Information Sharing and Reproducibility,
  • video

  • Neyman Seminar, Department of Statistics, UC Berkeley, February 2009:
  • The Reproducible Research Standard: Legal Barriers to Practicing the Scientific Method in Computational Research,

  • Yale Information Society Project Lunch Series, Yale Law School, February 2009:
  • The Reproducible Research Standard: Copyright and the Scientific Method,

  • 2008

    MIT Free Culture, MIT, October 2008:

  • "Science" in the Computational Sciences,

  • MIT User and Open Innovation Workshop, MIT, August 2008:
  • The Commons and Computational Science,

  • Impromptu Talk on Open Science and Licensing, SciFOO 2008, GooglePlex, CA, August 2008:
  • Open Source Science-Open Source Licensing (video),

  • Berkman Center for Internet and Society, Internet and Democracy Conference, Budapest, June 2008:
  • Internet Penetration and Measures of Democracy,

  • Microsoft Research Asia, Beijing, May 2008:
  • Model Selection with Many More Variables than Observations,

  • Harvard-MIT-Yale Cyberscholars Working Group, Yale Law School, April 2008:
  • Licensing in the Computational Sciences,

  • 2007

    Berkman Center for Internet and Society, Harvard Law School, December 2007:

  • The Internet and Democracy: Problems and Ideas,

  • 2006

    IEEE International Joint Conference on Neural Networks at the World Congress on Computational Intelligence, July 2006

  • Breakdown Point of Model Selection when the Number of Variables Exceeds the Number of Observations,

  • Stanford Statistics Department Industrial Affiliates Conference, May 2006:
  • Model Selection when the Number of Variables Exceeds the Number of Observations,
  • 2005

    Stanford Statistics Department Oral Exam Slides, August 2005:

  • Sparsity in Underdetermined Systems,

  • 2004

    Stanford Center for Teaching and Learning, May 2004:

  • The Midquarter Evaluation System in the Stanford Statistics Department,

  • 2003

    NIPS, Whistler, BC, Canada, December 2003:

  • talk slides,
  • Poster,
  • Workshop Presentation.

  • Multidisciplinary University Research Initiative (MURI), Stanford University, January 2003:
  • Multiresolution Representation of SO(3) Valued Data via Midpoint-Interpolating Refinement.

  • 2002

    Curves and Surfaces IV, Saint Malo, France, June 2002:

  • Multiscale Representation of Symmetric Space Valued Data via Midpoint Interpolating Refinement.

  • Stanford Statistics Department Industrial Affiliates Conference, April 2002:
  • Interpolation and Multiresolution Analysis of Symmetric-Space Valued Data Indexed by a Euclidean Parameter.
  • 2001

    Joint IDR-IMA Workshop Ideal Data Representation, University of Minnesota, April 9-13, 2001.
  • Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter.