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Latest Past Research Seminars

Long-term Expectations

Digital Event

Online Research Seminar 18:30 pm, Thursday, 29 September 2022 Perceived long-term (ten-year horizon) return distributions are remarkably bearish and most individuals believe that uncertainty is only marginally greater in the long term than the near term (one-year horizon), resulting in inferred variance ratios that require unprecedented levels of mean reversion. Although respondents’ near-term beliefs are extrapolative, long-term beliefs are counter-cyclical. Long-term beliefs are more important than near-term beliefs in explaining equity market participation. Respondents agree more about long-term than near-term returns and respondents’ characteristics better explain long-term, versus near-term, belief heterogeneity. These patterns have important implications for understanding household finance and [...]

H2H Marketing: The Genesis of Human-to-Human Marketing

Digital Event

Online Research Seminar 3:00 pm, Thursday, 7 July 2022 H2H Marketing takes the groundbreaking B2B marketing and branding principles and combines them with new ideas and concepts. Combing Philip Kotler’s “Marketing 5.0” and the “Mensch Marketing” developed by Uwe Sponholz and Waldemar Pfoertsch will help to shape this modern way of thinking about and doing marketing. H2H Marketing offers a smart, systematic plan to help any organization move away from conventional marketing and create value propositions for all relevant stakeholders. You don’t have to be an entrepreneur or techie to take advantage of their insights; you only have to be willing [...]

Topics from my Recent Research on Imaging and Image Analysis

Digital Event

Online Research Seminar 3:00 pm, Thursday, 23 June 2022 The seminar will be on topics from my ongoing research projects. The first two topics will be on biomedical image analysis projects that I pursue with collaborators. I will start with a novel methodology for MRI image registration. The first involves a statistical estimation of the registration as the non-parametric Bayesian posterior expectation. This estimate undergoes Procrustes analysis to give a rigid transformation. I will show applications of the method to MRI data of a variety of anatomic regions and imaging contrasts. I will then present a methodology to track as well [...]