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Choices and models

Choices in valuation models

Choices in valuation models

... pricing models; and within each approach, they must also choose among different ...These choices will be driven largely by the characteristics of the firm/asset being valued - the level of its earnings, its ...

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Towards a Framework of Choices Made During the Lifecycles of Process Models

Towards a Framework of Choices Made During the Lifecycles of Process Models

... the models. However, we have observed similar issues with process models in ...the models itself it is often not apparent how well the people who have built the model have understood the process that ...

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Modeling inconsistencies in people's preferential choices with sequential sampling models

Modeling inconsistencies in people's preferential choices with sequential sampling models

... involve choices between multi-attribute ...sampling models (SSMs), which make predictions about the underlying cognitive processes involved in decision ...utility models in the choice literature, the ...

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Individual housing choices and aggregate housing prices: discrete choice models revisited with matching models

Individual housing choices and aggregate housing prices: discrete choice models revisited with matching models

... individual choices create residential social segregation in the city 1 ...of models known as difficult to estimate: the Pure Characteristics ...latter models, typical discrete choice empirical ...

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Are Healthcare Choices Predictable? The Impact of Discrete Choice Experiment Designs and Models

Are Healthcare Choices Predictable? The Impact of Discrete Choice Experiment Designs and Models

... the models and designs we used, our study showed that more than 93% of choices were correctly predicted at an individual level, giving a degree of con fidence in the results and external validity of SP ...

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Impact of implementation choices on quantitative predictions of cell based computational models

Impact of implementation choices on quantitative predictions of cell based computational models

... The vertex positions, as well as simulation summary statistics, vary as the time step is changed, and differences in vertex positions decrease with the time step. Counterintuitively, large time steps can suppress cell ...

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Forecasting jobs location choices by Discrete Choice Models: A sensitivity analysis to scale and implications for LUTI models

Forecasting jobs location choices by Discrete Choice Models: A sensitivity analysis to scale and implications for LUTI models

... location choices for three levels of administrative units, using both DCM and Count Data Models ...LUTI models (metropolitan areas with smaller BSUs such as census ...these choices vary with ...

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Challenges and design choices for global weather and climate models based on machine learning

Challenges and design choices for global weather and climate models based on machine learning

... toregressive integrated moving average techniques (Noote- boom et al., 2018). However, it has yet to be shown that fore- casts based on deep learning can compete with global oper- ational weather forecast models, ...

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Choices and trade-offs in inference with infectious disease models.

Choices and trade-offs in inference with infectious disease models.

... All the choices and criteria laid out here are strongly interrelated. Any decision on using a particular model structure, simulation method, inference method and software or library comes with trade-offs. Fasiolo ...

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New models for learning flexibility: negotiated choices for both academics and students

New models for learning flexibility: negotiated choices for both academics and students

... commodification of education, the expectation that universities will equip students to become lifelong learners, the role of progressive pedagogies in student learning, and the role of academics within this evolving ...

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(Preview Draft) Appendix C. Software Choices and Individual-Based Models

(Preview Draft) Appendix C. Software Choices and Individual-Based Models

... develop models similar to those shown in this book. Readers who are not familiar with these programs will make more progress using Stella or Vensim. Simulink is the dynamic modeling component of MatLab, a ...

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Spatialized production models for sustainable palm oil in Central Africa: Choices and potentials

Spatialized production models for sustainable palm oil in Central Africa: Choices and potentials

... spatial models of future production systems to be built which, when confronted with land use maps and RSPO spatial constraints, allows the identification of land which is technically suitable to host such ...

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Structural empirical models of spatial inequalities: housing choices, policies and generational consequences

Structural empirical models of spatial inequalities: housing choices, policies and generational consequences

... distinct choices: an optimal stopping problem in the decision to stay or move; and conditional on this decision, a static discrete choice over where to move, which follows the static location choice model of ...

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Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons

Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons

... polynomial models; CART may help to identify the threshold values of exposure variables and capture non-linear and higher order interactions but does not quantify exposure effect ...predictors/complex ...

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Cost-effectiveness of models for prevention of vertical HIV transmission – voluntary counseling and testing and choices of drug regimen

Cost-effectiveness of models for prevention of vertical HIV transmission – voluntary counseling and testing and choices of drug regimen

... The cost-effectiveness of each intervention is calculated as (IC+AC-HC)/IA, where IC are the programme interven- tion costs, AC additional healthcare cost due to NVP resistance, HC the l[r] ...

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Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices

Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices

... mixture models of dynamic discrete choices used in applied ...mixture models of dynamic discrete choices and derive its convergence ...

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Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

... 31 KAHNEMAN, D. & TVERSKY, A. 2000. Choices, Values, and Frames, Cambridge, UK, Cambridge University Press. 32 KC, S. & LUTZ, W. 2015. The human core of the shared socioeconomic pathways: Population scenarios by ...

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The impact of perceptions in averting-decision models: An application of the special regressor method to drinking water choices

The impact of perceptions in averting-decision models: An application of the special regressor method to drinking water choices

... This paper is organised as follows. In Section 2, we derive the theoretical model describing a household's drinking water choices. In Section 3, we describe the special regressor method as well as other approaches ...

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Are Contingent Choices Consistent?

Are Contingent Choices Consistent?

... The source of whatever failure of consistency is observed appears to be the use of irrelevant information, emerging from alternative contingencies or choice problems, in decision-making. Given that the use of such ...

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MESSA Choices/Choices II

MESSA Choices/Choices II

... out-of-network deductible 20% coinsurance after annual out- of-network deductible, plus charges in excess of the approved amount Physician services are payable for the treatment of ESR[r] ...

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