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Modeling Dynamic Controls On Ice Streams: A Bayesian Statistical Approach, L Mark Berliner, Kenneth Jezek, Noel Cressie, Yongku Kim, Calvin Lam, Cornelis Van Der Veen

Faculty of Informatics - Papers (Archive)

Our main goal is to exemplify the study of ice-stream dynamics via Bayesian statistical analysis incorporating physical, though imperfectly known, models using data that are both incomplete and noisy. The physical-statistical models we propose account for these uncertainties in a coherent, hierarchical manner. The initial modeling assumption estimates basal shear stress as equal to driving stress, but subsequently includes a random corrector process to account for model error. The resulting stochastic equation is incorporated into a simple model for surface velocities. Use of Bayes' theorem allows us to make inferences on all unknowns given basal elevation, surface elevation and surface …

Active Exploration Of Emerging Themes In A Study Of Object-Oriented Requirements Engineering: The 'Evolutionary Case' Approach, Linda L. Dawson

Faculty of Informatics - Papers (Archive)

The evolutionary case approach provides a framework for qualitative case study research in information systems (IS). It uses revelation, reinforcement, reflection and re-examination to explicitly explore emerging themes in interpretive case study research.

The method is based on the progressive development of a theoretical model grounded initially in the literature and then refined using sequential case studies grounded in practice. The method addresses the gap which often separates data from conclusions in qualitative case study research by documenting the “revealed” and “reinforced” changes in the theoretical model as it evolves from the empirical data.

The paper provides an illustrative study …