Uncertainty

By Shashi Shekhar, Hui Xiong. ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2008

325 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/11a029cfcf09eb036212077ef648f4eb0ebb562e

Citations in the corpus

• The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation (2011, unknown): “Wakker (2008) pointed out that probabilistic sophistication within a source entails a uniform degree of ambiguity for that source, which is why we call such sources uniform.”
• Communication and Mental Processes: Experiential and Analytic Processing of Uncertain Climate Information (2007, unknown): “The prominent formal models of human decision-making under risk and uncertainty (e.g., Clemen, 1996; Morgan and Henrion, 1990; Simon, 1956), however, have predominantly focused on analytical decision-making, even though researchers have long been aware that abstract statistical evidence is…”
• Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics (2009, unknown): “Yet, in the absence of further innovation and under specific conditions, market selection will lead firms that use the best performing technology to be the only survivors, akin to the process of natural selection [39,42].”
• Ambiguity in asset pricing and portfolio choice: a review of the literature (2010, unknown): “Before moving on to the core of our review, let us mention that a few papers have reviewed the literature on ambiguity (Camerer and Weber 1992; Epstein and Schneider 2010; Etner et al. 2009; Gilboa et al. 2008; Mukerji and Tallon 2004; Wakker 2008; Gilboa and Marinacci 2011).”
• Time-frequency feature representation using energy concentration: An overview of recent advances (2009, unknown): “considered how the information measures, such as the Shannon or Rényi information measure, could be used to provide information on TFDs [118].”
• Investment Shocks and the Commodity Basis Spread (2011, unknown): “Caballero and Pindyck (1996) and Zhang (2005) choose η = 0.5 for consumption goods.”
• A FRAMEWORK TO SUPPORT RESEARCH ON INFORMAL INFERENTIAL REASONING5 (2008, unknown): “(Moore, 1990, p. 127) Drawing inferences from data is part of everyday life and critically reviewing results of statistical inferences from research studies is an important goal for most students who enroll in an introductory statistics course.”
• House price uncertainty, timing of development, and vacant land prices: Evidence for real options in Seattle (2006, unknown): “This work includes aggregate capital investment in manufacturing (Ca and Pindyck [5]), natural resource extraction (Paddock et al. [23], Moel and Tufano [21] mortgage prepayment and default (Foster and Van Order [15], Deng et al. [14]).”
• Comparative biology of different plant pathogens to estimate effects of climate change on crop diseases in Europe (2012, unknown): “Reproduced with permission from Kopf et al. (2008) 316 Eur J Plant Pathol (2012) 133:315–331 Author's personal copy”
• Development and Validation of a Scale for Measuring Instructors' Attitudes toward Concept-Based or Reform-Oriented Teaching of Introductory Statistics in the Health and Behavioral Sciences (2010, unknown): “Moore (1990) posited that the key to achieving statistical literacy, thinking and reasoning is facilitating students to recognize and appreciate the omnipresence of variation, and understand how such variation is quantified and explained.”