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Performance metrics for the assessment of satellite data products: an ocean color case study
Performance assessment of ocean color satellite data has generally relied on statistical
metrics chosen for their common usage and the rationale for selecting certain metrics is …
metrics chosen for their common usage and the rationale for selecting certain metrics is …
A probabilistic, dynamic, and attribute-wise model of intertemporal choice.
Most theoretical and empirical research on intertemporal choice assumes a deterministic
and static perspective, leading to the widely adopted delay discounting models. As a form of …
and static perspective, leading to the widely adopted delay discounting models. As a form of …
Performance assessment and validation of ocean color sensor-specific algorithms for estimating the concentration of particulate organic carbon in oceanic surface …
Global observations of ocean color from space provide a unique capability to conduct multi-
decadal studies of biogeochemical constituents and processes in the upper ocean layers at …
decadal studies of biogeochemical constituents and processes in the upper ocean layers at …
Forecast aggregation via recalibration
It is known that the average of many forecasts about a future event tends to outperform the
individual assessments. With the goal of further improving forecast performance, this paper …
individual assessments. With the goal of further improving forecast performance, this paper …
[HTML][HTML] Naturalistic multiattribute choice
We study how people evaluate and aggregate the attributes of naturalistic choice objects,
such as movies and food items. Our approach applies theories of object representation in …
such as movies and food items. Our approach applies theories of object representation in …
An ontology of decision models.
Decision models are essential theoretical tools in the study of choice behavior, but there is
little consensus about the best model for describing choice, with different fields and different …
little consensus about the best model for describing choice, with different fields and different …
Parameter recovery for decision modeling using choice data.
We introduce a general framework to predict how decision sets used in decision-making
experiments impact the quality of parameter estimates. We applied our framework to …
experiments impact the quality of parameter estimates. We applied our framework to …
Generalized outcome-based strategy classification: Comparing deterministic and probabilistic choice models
Abstract Model comparisons are a vital tool for disentangling which of several strategies a
decision maker may have used—that is, which cognitive processes may have governed …
decision maker may have used—that is, which cognitive processes may have governed …
Hydrological recovery in two large forested watersheds of southeastern China: the importance of watershed properties in determining hydrological responses to …
Understanding hydrological responses to reforestation is an important subject in watershed
management, particularly in large forested watersheds (> 1000 km 2). In this study, we …
management, particularly in large forested watersheds (> 1000 km 2). In this study, we …
Through the window of my mind: Map** information integration and the cognitive representations underlying self-reported risk preference.
A person's risk preference may determine significant life outcomes (eg, in finance or health),
and people are therefore routinely asked to report their risk preferences in various scientific …
and people are therefore routinely asked to report their risk preferences in various scientific …