A5024844663- Decision-Making and Behavioral Economics
- Economic and Environmental Valuation
- Optimal Experimental Design Methods
- Advanced Multi-Objective Optimization Algorithms
- Private Equity and Venture Capital
- State Capitalism and Financial Governance
- Behavioral Health and Interventions
- Financial Markets and Investment Strategies
- Experimental Behavioral Economics Studies
- Multi-Criteria Decision Making
- Probabilistic and Robust Engineering Design
- Mental Health Research Topics
- Statistical Methods and Inference
- Consumer Market Behavior and Pricing
- Impact of Technology on Adolescents
- Social and Intergroup Psychology
- Bayesian Methods and Mixture Models
- Neural Networks and Applications
- Gaussian Processes and Bayesian Inference
- Interdisciplinary Research and Collaboration
- Digital Mental Health Interventions
- Sensory Analysis and Statistical Methods
- Media Influence and Health
- Innovative Teaching Methodologies in Social Sciences
- Cognitive Science and Mapping
California State University, Fullerton
1920-2024
University of Manchester
2023
Decision Sciences (United States)
2016-2023
Carnegie Mellon University
2023
National Bureau of Economic Research
2016
The Ohio State University
2008-2013
University of California, Irvine
2007
Discriminating among competing statistical models is a pressing issue for many experimentalists in the field of cognitive science. Resolving this begins with designing maximally informative experiments. To end, problem to be solved adaptive design optimization identifying experimental designs under which one can infer underlying model fewest possible steps. When consideration are nonlinear, as often case science, impossible solve analytically without simplifying assumptions. However, we show...
Collecting data to discriminate between models of risky choice requires careful selection decision stimuli. Models making aim predict decisions across a wide range possible stimuli, but practical limitations force experimenters select only handful them for actual testing. Some stimuli are more diagnostic than others, so the is critical. This paper provides theoretical background and methodological framework adaptive optimal discriminating among choice. The approach, called Adaptive Design...
Numerous empirical studies have examined the question of whether transitivity preference is a viable axiom human decision making, but they arrive at different conclusions depending on how model choice variability. To bring some consistency to these seemingly conflicting results from literature, this article moves beyond binary or not holds, asking instead: In what way does hold (or hold) stochastically, and robust (in)transitive individual level? answer questions, we reanalyze data 7 past...
ABSTRACT Using a large sample of institutional investors’ investments in private equity funds raised between 1991 and 2011, we estimate the extent to which skill affects their returns. Bootstrap analyses show that variance actual performance is higher than would be expected by chance, suggesting some investors consistently outperform. Extending Bayesian approach Korteweg Sorensen, one‐standard‐deviation increase leads an annual returns one two percentage points. These results are stronger...
Abstract Adaptive design optimization (ADO) is a state-of-the-art technique for experimental (Cavagnaro et al., 2010). ADO dynamically identifies stimuli that, in expectation, yield the most information about hypothetical construct of interest (e.g., parameters cognitive model). To calculate this leverages modeler’s existing knowledge, specified form prior distribution. Informative priors align with distribution focal participant population. This alignment assumed by ADO’s internal...
Behavioural social choice has been proposed as a parallel to seminal developments in other decision sciences, such behavioural theory, economics, finance and game theory. paradigms compare how rational actors should make certain types of decisions with real makers behave empirically. We highlight that important theoretical predictions theory change dramatically under even minute violations standard assumptions. Empirical data violate those critical argue the nature preference distributions...
Statistical analyses of data often add some additional constraints to a theory and leave out others, so as convert the into testable hypothesis. In case binary data, such yes/no responses, or presence/absence symptom behavior, theories actually predict that certain response probabilities change monotonically in specific direction and/or are bounded from above below ways. A regression analysis is not really true it may parsimonious extraneous assumptions like linearity log-linearity, even...
According to stereotype threat theory, the possibility of confirming a negative group evokes feelings threat, leading people underperform in domains where they are stereotyped as lacking ability. This theory has immense theoretical and practical implications. However, many studies supporting it include small samples varying operational definitions “stereotype threat”. We address first challenge by leveraging network psychology labs recruit large Black student sample (Nanticipated = 2700)...
Within modern psychology, computational and statistical models play an important role in describing a wide variety of human behavior. Model selection analyses are typically used to classify individuals according the model(s) that best describe their These classifications inherently probabilistic, which presents challenges for performing group-level analyses, such as quantifying effect experimental manipulation. We answer this challenge by presenting method treatment effects terms...
Alcohol intoxication is well known to impair a number of cognitive abilities required for sound decision making. We tested whether an intoxicating dose alcohol altered individuals satisfied basic property rational making, transitivity preference. Our study was within-subjects in design and our analysis teased apart stable, yet error-prone, preferences from variable, error-free preferences. find that does not appear play major role determining subjects violate transitivity. For minority...