Browsing by Subject "Uncertainty"
Now showing items 1-13 of 13
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Assessing Climate Change under Uncertainty: A Monte Carlo Approach
(2008-04-25)Climate change has emerged as one of the most multifaceted manifestations of global change of our time. However, there is less confidence about exactly how the climate will change in the future, and lesser confidence still ... -
Clinical research challenges posed by difficult-to-treat depression.
(Psychological medicine, 2022-02)Approximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately ... -
Confidence and gradation in causal judgment.
(Cognition, 2022-06)When comparing the roles of the lightning strike and the dry climate in causing the forest fire, one might think that the lightning strike is more of a cause than the dry climate, or one might think that the lightning strike ... -
Development and Calibration of Reaction Models for Multilayered Nanocomposites
(2015)This dissertation focuses on the development and calibration of reaction models for multilayered nanocomposites. The nanocomposites comprise sputter deposited alternating layers of distinct metallic elements. Specifically, ... -
Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI-based liver SBRT treatment planning.
(Journal of applied clinical medical physics, 2019-02)PURPOSE:MRI-based treatment planning is a promising technique for liver stereotactic-body radiation therapy (SBRT) treatment planning to improve target volume delineation and reduce radiation dose to normal tissues. MR geometric ... -
Linked Sensitivity Analysis, Calibration, and Uncertainty Analysis Using a System Dynamics Model for Stroke Comparative Effectiveness Research.
(Medical decision making : an international journal of the Society for Medical Decision Making, 2016-11)<h4>Background</h4>As health services researchers and decision makers tackle more difficult problems using simulation models, the number of parameters and the corresponding degree of uncertainty have increased. This often ... -
Organizational Capital Budgeting Model (Ocbm)
(2009)Organizational Capital Budgeting Model (OCBM) is a general theory of capital budgeting that incorporates traditional capital budgeting theories and the consideration about firm's information/ organization structure. The ... -
Statistical Issues in Quantifying Text Mining Performance
(2017)Text mining is an emerging field in data science because text information is ubiquitous, but analyzing text data is much more complicated than analyzing numerical data. Topic modeling is a commonly-used approach to classify ... -
Strategic planning to reduce the burden of stroke among veterans: using simulation modeling to inform decision making.
(Stroke, 2014-07)BACKGROUND AND PURPOSE: Reducing the burden of stroke is a priority for the Veterans Affairs Health System, reflected by the creation of the Veterans Affairs Stroke Quality Enhancement Research Initiative. To inform the ... -
The view for cord blood is "cup half full" not "cup half empty".
(Stem cells translational medicine, 2020-10) -
Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle
(The Review of Economic Studies, 2018)This article estimates a business cycle model with endogenous financial asset supply and ambiguity averse investors. Firms’ shareholders choose not only production and investment, but also capital structure and payout policy ... -
Uncertainty, Policy, and the Risk of New Nuclear Build—a Real Options Approach
(2010-04-30)The United States has recently seen renewed interest in nuclear power, what is called the Nuclear Renaissance. However, the new licensing processes are untested and the new reactor designs have never been constructed on ...
