A Direct Utility Model with Dynamic Constraint by Byungyeon Kim, Takuya Satomura, Jaehwan Kim

“…The results are compared to the conventional multiple discreteness choice models of static constraints, and policy implications on price discounts is explored. …”
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The Impacts of Just-in-Time Social Networks on People's Choices in the Real World by Lee, Kwan Hong, Lippman, Andrew, Pentland, Alex S., Dugundji, Elenna R.

“…The collected data is used to model how discrete choices are affected by the presence of physical and virtual social network information. …”
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Epistasis in a model of molecular signal transduction. by Alain Pumir, Boris Shraiman

“…To connect with the genotype/phenotype mapping we interpret parameters of the model as different loci with discrete choices of these parameters as alleles, which allows us to systematically examine the dependence of the signaling output--a quantitative trait--on the set of possible allelic combinations. …”
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Hyperbolic compactification of M-theory and de Sitter quantum gravity by G. Bruno De Luca, Eva Silverstein, Gonzalo Torroba

“…Analyzing the fields sourced by the localized Casimir energy and the available discrete choices of manifolds and fluxes, we find a regime where the net curvature, Casimir energy, and flux compete at large radius and stabilize the volume. …”
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Metabolomics reveals the origins of antimicrobial plant resins collected by honey bees. by Michael B Wilson, Marla Spivak, Adrian D Hegeman, Aaron Rendahl, Jerry D Cohen

“…We conclude that honey bees make discrete choices among many resinous plant species, even among closely related species. …”
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Collective incentives reduce over-exploitation of social information in unconstrained human groups by Dominik Deffner, David Mezey, Benjamin Kahl, Alexander Schakowski, Pawel Romanczuk, Charley M. Wu, Ralf H. J. M. Kurvers

“…Incentivizing participants at the group (vs. individual) level facilitated adaptation to concentrated environments, buffering apparently excessive scrounging. To infer discrete choices from unconstrained interactions and uncover the underlying decision mechanisms, we developed an unsupervised Social Hidden Markov Decision model. …”
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Using Experimentally Calibrated Regularized Stokeslets to Assess Bacterial Flagellar Motility Near a Surface by Orrin Shindell, Hoa Nguyen, Nicholas Coltharp, Frank Healy, Bruce Rodenborn

“…To determine appropriate regularization parameters for given discretization choices in MIRS, we conducted dynamically similar macroscopic experiments and fit the simulations to the data. …”
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Economic valuation of forest degradation through direct users’ willingness to pay in Benin (West Africa) by Robert Sourokou, Fifanou G. Vodouhe, Silvère Tovignan, Jacob A. Yabi

“…The results showed that forest products were an important source of household income, thus demonstrating the importance of the forest in the local economy. Our method of discrete choices through stated preferences showed that users were willing to abandon an area of 2 ha. …”
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Flexible and efficient simulation-based inference for models of decision-making by Jan Boelts, Jan-Matthis Lueckmann, Richard Gao, Jakob H Macke

“…Our approach, mixed neural likelihood estimation (MNLE), trains neural density estimators on model simulations to emulate the simulator and is designed to capture both the continuous (e.g., reaction times) and discrete (choices) data of decision-making models. The likelihoods of the emulator can then be used to perform Bayesian parameter inference on experimental data using standard approximate inference methods like Markov Chain Monte Carlo sampling. …”
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Beyond linear regression: A reference for analyzing common data types in discipline based education research by Elli J. Theobald, Melissa Aikens, Sarah Eddy, Hannah Jordt

“…For example, student outcomes can be measured on binary scales (e.g., pass or fail), tightly bound scales (e.g., strongly agree to strongly disagree), or nominal scales (i.e., different discrete choices for example multiple tracks within a physics major), each necessitating alternative regression techniques. …”
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A complex systems approach to financial markets, social learning and socioeconomic phenomena by Loh, Lyon Han Zhou

“…Chapter 3 utilizes an agent-based model to explore the non-pecuniary impact of social learning on the utilitarian efficiency of the population in decision-making between discrete choices. The model embeds a small-world network into a cellular automaton framework. …”
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