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Individual choice behavior: A theoretical analysis.
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“This follows the Bradley-Terry model (Bradley and Terry, 1952) for estimating score functions from pairwise preferences, and is the specialization of the Luce-Shephard choice rule (Luce, 2005; Shepard, 1957) to preferences over trajectory segments.”
From Deep reinforcement learning from human preferences (2017) · cites this paper as Luce, 2005
In the citing paper
“Research into human choice suggests that both explicit and implicit choices systematically vary based on context, especially the other options that are present when choosing [56–59].”
From Evolution and impact of bias in human and machine learning algorithm interaction (2020) · cites this paper as [56]
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Learning to rank under multiple annotators
Wu, O., Hu, W., & Gao, J. T. (2011) · International Joint Conference on Artificial Intelligence · doi:10.5591/978-1-57735-516-8/ijcai11-264 · Cited by 14
Rational preference shifts in multi-attribute choice: what is fair?
Shenoy, P., & Yu, A. J. (2013) · eScholarship (California Digital Library) · Cited by 14
THE TRANSITIVITY OF CHOICES BETWEEN DIFFERENT RESPONSE REQUIREMENTS
Sumpter, C. E., Temple, W. J., & Foster, T. M. (1999) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1999.72-235 · Cited by 14
“of value for outcomes has been the subject of much theoretical writing (e.g., Luce, 1959; Navarick & Fantino, 1974), little is known about the values of different ways of achieving the same outcome.”
BackgroundAn Item Response Model for Nominal Data Based on the Rising Selection Ratios Criterion
Revuelta, J. (2005) · Psychometrika · doi:10.1007/s11336-002-0975-y · Cited by 14
Human Unsupervised and Supervised Learning as a Quantitative Distinction
Gureckis, T. M., & Love, B. C. (2003) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001403002587 · Cited by 14
Perceptual Evaluation of Sound-Producing Objects
Giordano, B. L., Susini, P., & Bresin, R. (2013) · The MIT Press eBooks · doi:10.7551/mitpress/8555.003.0007 · Cited by 14
The psychophysics of comic: Effects of incongruity in causality and animacy
Parovel, G., & Guidi, S. (2015) · Acta Psychologica · doi:10.1016/j.actpsy.2015.05.002 · Cited by 14
“models (Bradley, 1984; Luce, 1959),which are slightly different fromThurstone–Mosteller”
BackgroundMATERNAL NUTRITION AND FOUR‐ALTERNATIVE CHOICE
Davison, M., Krägeloh, C. U., Fraser, M., et al. (2007) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2007.12-06 · Cited by 14
“The present results imply that the constantratio rule (Luce, 1959) does not generally apply, despite previous research on three alternatives that has supported it (Davison & Hunter, 1976).”
ResultA Measure for Crisis Instability with an Application to Space-Based Antimissile Systems
O’Neill, B. (1987) · Journal of Conflict Resolution · doi:10.1177/0022002787031004005 · Cited by 14
Estimating Gradients for Discrete Random Variables by Sampling without ReplacementPreprint
Kool, W., van Hoof, H., & Welling, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.06043 · Cited by 22
“i∈S p(i) ) = log(1− exp(φS)) (28) Gφi ∼ Gumbel(φi) (29) GφS = max i∈S Gφi ∼ Gumbel(φS) (30) For a proof of equation 30, see Maddison et al. (2014). B COMPUTATION OF p(S), pD\C(S \ C) AND R(S, s) We can sample the set S from the Plackett-Luce distribution using the Gumbel-Top-k trick by drawing Gumbel variables Gφi ∼ G…”
MethodInfluence parameters on the perceived magnitude of tonal content of electric vehicle interior sounds
Doleschal, F., Rottengruber, H. S., & Verhey, J. L. (2021) · Applied Acoustics · doi:10.1016/j.apacoust.2021.108155 · Cited by 13
Dagsvik, J. K., & Hoff, S. R. (2009) · Theory and Decision · doi:10.1007/s11238-009-9160-4 · Cited by 13
A contest success function for rankings
Vesperoni, A. (2016) · Social Choice and Welfare · doi:10.1007/s00355-016-0997-5 · Cited by 13
“Pair-swap consistency is analogous to Luce (1959)’s choice axiom, also known as independence of irrelevant alternatives. This axiom considers probabilistic choices from different subsets of alternatives and, roughly speaking, it requires the relative probability of any two alternatives to be independent of other alter…”
BackgroundInfluentialTopology-dependent rationality and quantal response equilibria in structured populations
Roman, S., & Brede, M. (2017) · Physical review. E · doi:10.1103/physreve.95.052310 · Cited by 13
“One possible class of parametric class of functions, which relate to the study of individual choice behaviour [7], define the logit quantal response equilibrium (LQRE).”
BackgroundMagombo, T., Kanthiti, G., Phiri, G., Kachulu, M., & Kabuli, H. (2011) · Cited by 13
Parametric design adaptation for competitive products
Yassine, A. (2010) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-010-0392-5 · Cited by 13
“Mathematical psychology researchers (e.g., Luce 1959) developed the foundation for DCA, which strives to generate a probability that an alternative is chosen based upon its relative merit.”
BackgroundHow to share when context matters: The Möbius value as a generalized solution for cooperative games
Billot, A., & Thisse, J. (2005) · Journal of Mathematical Economics · doi:10.1016/j.jmateco.2004.12.008 · Cited by 13
“of the PCC, for each player i ∈ Z, ( 9 ) becomes”
BackgroundModels of Translation Competitions
Hopkins, M., & May, J. (2013) · Cited by 13
Target-oriented utility for interdiction of transportation networks
Kosanoglu, F., & Bier, V. M. (2020) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2020.106793 · Cited by 13
Priority and Choice Probability Estimation by Ranking, Rating and Combined Data
Lipovetsky, S. (2007) · Journal of Statistical Theory and Practice · doi:10.1080/15598608.2007.10411838 · Cited by 13
On path independent stochastic choice
Ahn, D. S., Echenique, F., & Saito, K. (2018) · Theoretical Economics · doi:10.3982/te2653 · Cited by 13
Applications of MCDA in Marketing and e-Commerce
Tsafarakis, S., Lakiotaki, K., & Matsatsinis, N. F. (2010) · Applied optimization · doi:10.1007/978-3-540-92828-7_15 · Cited by 13
Determinants of perceived choice, number of options, and perceived time in making a selection
Harvey, J. H., & Jellison, J. M. (1974) · Memory & Cognition · doi:10.3758/bf03196917 · Cited by 13
Multicandidate Equilibrium in American Elections
Adams, J. (2000) · Public Choice · doi:10.1023/a:1005038222082 · Cited by 13
Utility of Gambling when Events are Valued: an Application of Inset Entropy
Ng, C. T., Luce, R. D., & Marley, A. A. J. (2007) · Theory and Decision · doi:10.1007/s11238-007-9065-z · Cited by 13
“(5) Other axioms were shown to imply that any such S , must satisfy the choice property (Luce, 1959/2005),2 i.e., for C ⊆ D ⊆ S ,D(C)= S , (C) S , (D) .”
BackgroundSelf-citationMurray‐Tuite, P. M., & Mahmassani, H. S. (2005) · Texas ScholarWorks (Texas Digital Library) · Cited by 13
A unified framework for resource-bounded autonomous agents interacting with unknown environments
Ortega, P. A. (2011) · Apollo (University of Cambridge) · doi:10.17863/cam.14005 · Cited by 13
Cheung, W. C. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2823339 · Cited by 12
Deep Bayesian Reward Learning from PreferencesPreprint
Brown, D. S., & Niekum, S. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.04472 · Cited by 15
“choice axiom [30], to obtain the following pairwise ranking likelihood function:”
BackgroundThe Role of Environmental Predictability and Costs in Relying on Automation
Sutherland, S. C., Harteveld, C., & Young, M. E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702609 · Cited by 12
“The probability of a particular orc being correct was predicted using a derivation of the multinomial logit [13] [15]: The predictive validity of the size of the orcs (theta) randomly varied between participants; thus, some participants were in environments where size was a poor diagnostic cue…”
MethodUsing plural modeling for predicting decisions made by adaptive adversaries
Buede, D. M., Mahoney, S. M., Ezell, B. C., & Lathrop, J. W. (2012) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2012.06.002 · Cited by 12
Farias, V. F., Jagabathula, S., & Devavrat Shah, B. (2012) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2012.6310952 · Cited by 11
“Ideally, one wishes to learn a choice model consistent with observed partial preferences, having made little or no behavioral or structural assumptions.”
BackgroundHutchinson, J. W., Zauberman, G., & Meyer, R. J. (2009) · Marketing Science · doi:10.1287/mksc.1090.0511 · Cited by 12
“Duncan Luce (1977) structured his comments around L.”
BackgroundExamination of customer satisfaction surveys in choice modelling to support engineering design
He, L., Hoyle, C. J., & Chen, W. (2010) · Journal of Engineering Design · doi:10.1080/09544828.2010.505186 · Cited by 12
“…choice analysis (DCA) refers to a statistical technique of building probabilistic choice models, which originated in mathematical psychology (Luce 1959, Thurstone 1994) and found wide application in transportation (Wen and Koppelman 2001), marketing research (Ben-Akiva and Boccara 1995) and…”
MethodCompetitive analysis of the top-K ranking problem
Chen, X., Gopi, S., Mao, J., et al. (2017) · ACM-SIAM Symposium on Discrete Algorithms (SODA) · doi:10.1137/1.9781611974782.81 · Cited by 12
“Many existing models - such as the Bradley-Terry-Luce model (BTL) [BT52, Luc59], the Thurstone model [Thu27], and their variants - are parametric comparison models, in that each probability p ij is of the form f ( s i , s j ), where s i is a ‘score’ associated with item i .”
BackgroundMethodTrading Trust for Discount: Does Frugality Moderate the Impact of Privacy and Security Concerns?
Bansal, G., & Zahedi, F. M. (2010) · Journal of the Association for Information Systems · Cited by 12
Neo‐Rawlsian Fringes: A New Approach to Market Segmentation and New Product Development*
Giloni, A. H., Seshadri, S., & Tucci, C. L. (2008) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2008.00316.x · Cited by 12
“Other choice models have been proposed (e.g., Luce, 1959; Tversky and Kahneman, 1992) to model choice behavior.”
MethodFitting loglinear Bradley-Terry models (LLBT) for paired comparisons using the R package prefmod
Dittrich, R., & Hatzinger, R. (2009) · WU Research · Cited by 12
On the probabilities of correct or incorrect majority preference relations
Tsetlin, I., & Regenwetter, M. (2003) · Social Choice and Welfare · doi:10.1007/s003550200182 · Cited by 12
“bilistic models of individual decision making are Luce’s choice axiom [22, 23], Tversky’s elimination by aspects model [37], or various types of random utility models [2, 7, 10, 25, 36].”
MethodChoices among bets by Las Vegas gamblers: Absolute and contextual effects.
Fryback, D. G., & Edwards, W. (1973) · Journal of Experimental Psychology · doi:10.1037/h0034375 · Cited by 12
Steady‐state choice between four alternatives obeys the constant‐ratio rule
Bensemann, J., Lobb, B., Podlesnik, C. A., et al. (2015) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.157 · Cited by 11
Agranov, M., & Ortoleva, P. (2013) · Cited by 12
Impulsivity and risk-seeking as Bayesian inference under dopaminergic control
Mikhael, J. G., & Gershman, S. J. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01125-z · Cited by 11
“Decision making under the Bayesian theory Having estimated the relevant parameters in the task, how does the animal actually use these parameters to make decisions? Under standard models of action selection, the probability of selecting arm Ai with expected reward μ̂i follows a softmax function [78, 79]: pðAiÞ 1⁄4 e β…”
BackgroundPreference-based Learning of Ideal Solutions in TOPSIS-like Decision Models
Agarwal, M., Tehrani, A. F., & Hüllermeier, E. (2014) · Journal of Multi-Criteria Decision Analysis · doi:10.1002/mcda.1520 · Cited by 11
“Although it is true that, in practical decision situations, the preferences of DMs may indeed depend on the context, the possible influence of irrelevant alternatives is certainly not desirable from a normative perspective—in fact, it violates an important rationality postulate, namely, Luce’s choice axiom (Luce, 1959…”
BackgroundModeling and validating stakeholder preferences with probabilistic inversion
Neslo, R., & Cooke, R. (2011) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.888 · Cited by 11
“Later the Logit model was derived by Luce [14], [20], [15] under one of the consequences of his choice axioms namely the Independence of Irrelevant Alternatives(IIA).”
MethodIn Defense of Spatial Models of Lexical Semantics
Jones, M. N., Gruenenfelder, T. M., & Recchia, G. L. (2011) · eScholarship (California Digital Library) · Cited by 11
Cognitive Biases Affect the Acceptance of Tradeoff Studies
Smith, E., Piattelli‐Palmarini, M., & Bahill, T. (2008) · Springer optimization and its applications · doi:10.1007/978-0-387-77131-1_10 · Cited by 11
“Luce [30] held that a random element was involved in decision rules.”
BackgroundDesigning Optimal Products: Algorithms and Systems
Tsafarakis, S., & Matsatsinis, N. F. (2010) · Studies in fuzziness and soft computing · doi:10.1007/978-3-642-15606-9_19 · Cited by 11
“Popular probabilistic choice models are: • the Bradley-Terry-Luce (1952; Luce, 1959), Pij= ∑ = n j ijij UU 1 , • and the MultiNomial Logit (McFadden, 1974), Pij= ∑ = n j UU ijij ee 1 , where Pij is the probability that consumer i selects product j, Uij is the utility he assigns to product j, and n…”
BackgroundGeneral concepts of value restriction and preference majority
Regenwetter, M., Marley, A. A. J., & Grofman, B. (2003) · Social Choice and Welfare · doi:10.1007/s00355-003-0210-5 · Cited by 11
“A semiorder is an interval order with a fixed threshold [12, 13], captured by the additional property that BBB 1 B (see, for instance, Roberts [21]).”
BackgroundTwo Stochastic Multidimensional Choice Models for Marketing Research
Carroll, J. D., Soete, G. D., & DeSarbo, W. S. (1990) · Decision Sciences · doi:10.1111/j.1540-5915.1990.tb01689.x · Cited by 11
Billot, A. (1998) · Annals of Operations Research · doi:10.1023/a:1018936503162 · Cited by 11
A choice set-sensitive analysis of preference information acquisition about discrete resources
Rao, H. R. (1993) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.247888 · Cited by 11
Estimation of value-of-time using Mixed Logit models
Hess, S., Bierlaire, M., & Polak, J. W. (2004) · Cited by 11
Individualized Rank Aggregation using Nuclear Norm RegularizationPreprint
Lu, Y., & Negahban, S. N. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.0860 · Cited by 11
“Given how natural the problem of rank aggregation is, there has been a wide body recent [1], [2] and classical work [3]–[6] to understand how to consistently combine preferences.”
BackgroundCha, Y.-S., Choi, M. E., Guo, Y., Regenwetter, M., & Zwilling, C. E. (2013) · Judgment and Decision Making · doi:10.1017/s1930297500004502 · Cited by 11
“or another (Becker et al., 1963; Birnbaum, 2004; Block & Marschak, 1960; Carbone & Hey, 2000; Harless & Camerer, 1994, 1995; Hey, 1995, 2005; Hey & Carbone, 1995; Loomes, 2005; Loomes, Moffatt & Sugden, 2002; Loomes, Starmer & Sugden, 1991; Loomes & Sugden, 1995, 1998; Luce, 1959; Luce & Suppes, 1965; Marschak, 1960;…”
Choice and Individual WelfarePreprint
Chambers, C. P., & Hayashi, T. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1494196 · Cited by 11
Law of effect models and choice between many alternatives
Navakatikyan, M., Murrell, P. R., Bensemann, J., et al. (2013) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.37 · Cited by 10
“To the best of our knowledge, only feedback functions for two-alternative concurrent schedules without a changeover delay are derived (Heyman & Luce, 1979).”
BackgroundTypical use of quantifiers: A probabilistic speaker model
Franke, M. (2014) · eScholarship (California Digital Library) · Cited by 10
McCausland, W. J. (2008) · Economica · doi:10.1111/j.1468-0335.2007.00651.x · Cited by 10
Müller, H. A. G., & Diels, J. L. (2015) · Psychology and Marketing · doi:10.1002/mar.20837 · Cited by 10
Okumu, B., & Muchapondwa, E. (2022) · Journal of Forest Economics · doi:10.1561/112.00000551 · Cited by 10
“This implies that the relative probabilities of the two alternatives being selected are not affected by removal or introduction of other alternatives (Luce, 2005).”
BackgroundThe Effect of Compensation Caps on Risk-Taking
Kreilkamp, N., Matanovic, S., Sommer, F., & Wöhrmann, A. (2018) · Journal of Management Accounting Research · doi:10.2308/jmar-18-053 · Cited by 12
Spectral Ranking with Covariates
Chau, S. L., Cucuringu, M., & Sejdinović, D. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-26419-1_5 · Cited by 10
“t we revisit this classical problem in light of item covariate information. Ranking is a well-studied discipline with an active and rich literature that dates back to the 1950s [Bradley et al., 1952, Luce, 1959]. There exists a wide range of settings under which the problem of ranking arises and can be studied, mainly…”
BackgroundOn Decision Making In Human-Machine Networks
Geng, B., & Varshney, P. K. (2019) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2019.00014 · Cited by 10
“Along this direction, stochastic decision models, such as random utility models and a logic choice framework, were established in [9].”
MethodDecomposing coordination failure in stag hunt games
Kendall, R. (2022) · Experimental Economics · doi:10.1007/s10683-022-09745-y · Cited by 10
From Research to Practice: Automated Negotiations with People
Lin, R., & Kraus, S. (2012) · Cognitive technologies · doi:10.1007/978-3-642-27663-7_12 · Cited by 10
“lu(·) denotes the Luce number of an offer [13], which is a non-negative number that is associated with each offer.”
BackgroundPricing, Variety, and Inventory Decisions for Product Lines of Substitutable Items
Maddah, B., Bish, E. K., & Munroe, B. (2010) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4419-6485-4_14 · Cited by 10
Analysis of Distractor Difficulty in Multiple-Choice Items
Revuelta, J. (2004) · Psychometrika · doi:10.1007/bf02295941 · Cited by 10
Randomized Kaczmarz for rank aggregation from pairwise comparisons
Borkar, V. S., Karamchandani, N., & Mirani, S. (2016) · IEEE Information Theory Workshop (ITW) · doi:10.1109/itw.2016.7606862 · Cited by 11
“02 47 0v 1 [c s. LG ] 9 M ay 2”
BackgroundA Computational Developmental Model of the Implicit False Belief Task
Berthiaume, V. G., Onishi, K. H., & Shultz, T. R. (2008) · eScholarship (California Digital Library) · Cited by 10
Peterson, M. (2006) · Philosophical Studies · doi:10.1007/s11098-004-4515-8 · Cited by 10
Probabilistic Subset Conjunction
Kohli, R., & Jedidi, K. (2005) · Psychometrika · doi:10.1007/s11336-002-0978-8 · Cited by 10
Estimation and visualization of confusability matrices from adaptive measurement data
Kujala, J. V., Richardson, U., & Lyytinen, H. (2008) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2008.05.007 · Cited by 10
“Figure 1: An illustration of the choice axiom (Luce, 1959), also known as the constant-ratio rule (Clarke, 1957).”
BackgroundMethodInfluentialPrice return autocorrelation and predictability in agent-based models of financial markets
Challet, D., & Galla, T. (2005) · Quantitative Finance · doi:10.1080/14697680500363963 · Cited by 10
A Note on a Class of Probability Matching Models
Feldman, J., & Newell, A. (1961) · Psychometrika · doi:10.1007/bf02289802 · Cited by 10
Liem, T., Gaudry, M. J. I., & Laferriere, R. (1993) · CENTRE DE RECHERCHE SUR LES TRANSPORTS PUBLICATION · Cited by 10
Empirical Models of Consumer BehaviorPreprint
Nevo, A. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1696139 · Cited by 10
Modeling Bounded Rationality in Capacity Allocation Games with the Quantal Response EquilibriumPreprint
Chen, Y., Su, X., & Zhao, X. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2064854 · Cited by 10
Focus, Then ComparePreprint
Doron, R., & Steverson, K. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3299160 · Cited by 10
A General Pairwise Comparison Model for Extremely Sparse Networks
Han, R., Xu, Y., & Chen, K. (2022) · Journal of the American Statistical Association · doi:10.1080/01621459.2022.2053137 · Cited by 9
“For example, the Plackett-Luce model (Plackett, 1975; Luce, 1959) is the multiple-comparison version of the BT model.”
MethodThe role of monetary information in energy performance certificates: a Slovenian experiment
Lakić, E., Carroll, J., & Gubina, A. F. (2021) · Energy Efficiency · doi:10.1007/s12053-021-09995-4 · Cited by 9
“…the choice of your current property 6.81 n.a 2 This section relays heavily on the CONSEED deliverable Report on Choice Experiments on the Effectiveness of providing Information on Energy Costs on Energy-Related Decisions in Households. random utility model (RUM) by McFadden (1973) and Luce (2012).”
BackgroundInfluentialForced-Choice Ranking Models for Raters’ Ranking Data
Hung, S.-P., & Huang, H. (2022) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986221104207 · Cited by 9
“Based on the ranking choice theorem (Luce, 2005), the probability of a ranking event can be decomposed into the product of multiple-choice probabilities in the rank-ordered choice set, in which the choice events for each option are assumed to be statistically independent and follow a multinomial logit model (Gensch &…”
BackgroundMethodInfluentialRumbling, humming, booming – Perception of vehicle interior noise at low engine speeds
Doleschal, F., Badel, G.-T., & Verhey, J. L. (2022) · Applied Acoustics · doi:10.1016/j.apacoust.2022.108915 · Cited by 9
Spike-based Decision Learning of Nash Equilibria in Two-Player Games
Friedrich, J. H., & Senn, W. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002691 · Cited by 11
“Starting from Luce’s basic reinforcement learning (RE1, see also [43]), the authors adapt this rule to take account of a generalization and recency effect (RE3, Methods).”
BackgroundChen, S., Chang, C., & Tseng, Y.-H. (2012) · Research in International Business and Finance · doi:10.1016/j.ribaf.2012.08.004 · Cited by 9
Pan, D., Lu, X., Liu, J., et al. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/904596 · Cited by 9
“The Bradley-Terry-Luce (BTL)model was applied to pairwise comparison data to scale preferences [6, 7].”
MethodBandit strategies in social search: the case of the DARPA red balloon challenge
Chen, H., Rahwan, I., & Cebrián, M. (2016) · EPJ Data Science · doi:10.1140/epjds/s13688-016-0082-4 · Cited by 9
Krabbe, P. F. M., Stolk, E. A., Devlin, N. J., et al. (2016) · The European Journal of Health Economics · doi:10.1007/s10198-016-0841-y · Cited by 9
On the estimation of latent distances using graph distances
Arias-Castro, E., Channarond, A., Pelletier, B., et al. (2021) · Electronic Journal of Statistics · doi:10.1214/21-ejs1801 · Cited by 9
“For example, the Bradley–Terry–Luce model [8, 24] uses the logistic link function.”
MethodLearning Interpretable Feature Context Effects in Discrete Choice
Tomlinson, K., & Benson, A. R. (2021) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3447548.3467250 · Cited by 9
“The Plackett-Luce and MNL models both obey the axiom of independence of irrelevant alternatives (IIA) [48], that relative preferences between items are unaffected by the choice set — if someone prefers x to y, they should still do so when z is also an option.”
BackgroundMethodInfluentialEfficient Computation with Taste Shocks
Richmond, F. R. B. O., & Gordon, G. (2019) · Federal Reserve Bank of Richmond Working Papers · doi:10.21144/wp19-15 · Cited by 9
“They give nondegenerate choice probabilities and likelihood functions (Luce, 1959; McFadden, 1974; Rust, 1987); facilitate indirect inference estimation (Bruins, Duffy, Keane, and Smith, 2015); smooth nonconvexities (Iskhakov, Jørgensen, Rust, and Schjerning, 2017); and make computation possible in…”
BackgroundCertainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory
Wu, Q., Vanerum, M., Agten, A., Christiansen, A., Vandenabeele, F., Rigo, J., & Janssen, R. (2021) · Psychometrika · doi:10.1007/s11336-021-09759-0 · Cited by 10
“Finally, a choice rule is used to give a probabilistic description of examinees’ final choice of a certainty level on an item (Luce, 2005; McFadden, 1980; Train, 2009).”
BackgroundMethodAmoah, A., & Dorm-Adzobu, C. (2013) · Journal of Economics and Sustainable Development · Cited by 9
Games and Risk Analysis: Three Examples of Single and Alternate Moves
Paté‐Cornell, E. (2008) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-0-387-87767-9_7 · Cited by 9
Does social context impact metacognition? Evidence from stereotype threat in a visual search task
Gajdos, T., Régner, I., Huguet, P., Hainguerlot, M., Vergnaud, J., Sackur, J., & de Gardelle, V. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215050 · Cited by 9
Test of a subtractive theory of "fair" allocations.
Mellers, B. A., & Hartka, E. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.5.691 · Cited by 9
“Both of these representations have been proposed as theories of choice behavior (Luce, 1959; Restle, 1961; Thurstone, 1927), similarity judgment (Beals, Krantz, & Tversky, 1968; Ekman & Sjoberg, 1965), and psychophysical judgment (Birnbaum, 1978, 1980; Stevens, 1971).”
BackgroundTransfer Program Complexity and the Take Up of Social Benefits
Kleven, H., & Kopczuk, W. (2008) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · Cited by 9
Research opportunities in Computational Economics
Kendrick, D. A. (1993) · Computational Economics · doi:10.1007/bf01299179 · Cited by 9
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Perdue, R. R. (1987) · Leisure Sciences · doi:10.1080/01490408709512142 · Cited by 9
Metadata
- Authors
- Luce, R. D.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- Luce, R. Duncan
- Venue
- Dover Publications eBooks
- Publisher
- Dover Publications
- Published
- 2005
- OpenAlex
- W2094536313
- Cited by
- 1,157
- References
- 0
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 18 · 2023: 36 · 2022: 27 · 2021: 55 · 2020: 43 · 2019: 51 · 2018: 45 · 2017: 35 · 2016: 48 · 2015: 81 · 2014: 74 · 2013: 68 · 2012: 53
- FWCI
- 20.89
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Dover Publications eBooks (publishedVersion)
- Funders
- National Science Foundation (NSF-G2803)
- Office of Naval Research (G-4506)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Theory and Institutions
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- decision-making, choice theory, consumer behavior, utility maximization
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