The DOI matches its Crossref record.
Individual choice behavior: A theoretical analysis.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cited by
Sorted by citations
Bayesian t tests for accepting and rejecting the null hypothesis
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.225 · Cited by 3,688
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Payne, J. W. (1976) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(76)90022-2 · Cited by 1,974
Raaijmakers, J. G., & Shiffrin, R. M. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.93 · Cited by 1,696
Coombs, C. H. (1960) · Psychological Review · doi:10.1037/h0047773 · Cited by 1,568
A retrieval model for both recognition and recall.
Gillund, G., & Shiffrin, R. M. (1984) · Psychological Review · doi:10.1037/0033-295x.91.1.1 · Cited by 1,546
“Equation 4 stipulates that sampling obeys a ratio rule (Luce, 1959) in which an image's chance of being sampled is proportional to its net strength to the probe cues.”
BackgroundSWIFT: a dynamical model of saccade generation during reading.
Engbert, R., Nuthmann, A., Richter, E., & Kliegl, R. (2005) · Psychology Review · doi:10.1037/0033-295x.112.4.777 · Cited by 1,114
“In this case, target selection probability is proportional to relative lexical activation, which is known as Luce’s (unbiased) choice rule (Luce, 1959).”
BackgroundDeep reinforcement learning from human preferences
Christiano, P., Leike, J., Brown, T. B., Martic, M., Legg, S., & Amodei, D. (2017) · arXiv · doi:10.48550/arxiv.1706.03741 · Cited by 1,058
“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.”
BackgroundMethodDiscrete Choice Methods and their Applications to Short Term Travel Decisions
Ben-Akiva, M. E., & Bierlaire, M. (1999) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4615-5203-1_2 · Cited by 980
“Models with probabilistic decision rules, like the model proposed by Luce (1959) , or the “elimination b y aspects” a pproach proposed by Tversky (1972), assume a deterministic utility and a probabilistic decision process.”
MethodDistributed representations of structure: A theory of analogical access and mapping.
Hummel, J. E., & Holyoak, K. J. (1997) · Psychological Review · doi:10.1037/0033-295x.104.3.427 · Cited by 951
BIOGEME: a free package for the estimation of discrete choice models
Bierlaire, M. (2003) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 866
SUSTAIN: A Network Model of Category Learning.
Love, B. C., Medin, D. L., & Gureckis, T. M. (2004) · Psychological Review · doi:10.1037/0033-295x.111.2.309 · Cited by 789
“The Luce (1959) choice rule is conceptually related to this decision rule.”
BackgroundRational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model
Matějka, F., & McKay, A. (2011) · American Economic Review · doi:10.1257/aer.20130047 · Cited by 794
Econometric Models for Probabilistic Choice Among Products
McFadden, D. (1980) · The Journal of Business · doi:10.1086/296093 · Cited by 766
“The Luce model has been employed for market analysis in economics with reasonable success, notably in transportation planning where it has been used to forecast market penetration of new travel modes (see McFadden [1974; McFadden and Associates 1977]; for a survey of other empirical applications, see McFadden [1976]).”
BackgroundMethodMultialternative decision field theory: A dynamic connectionst model of decision making.
Roe, R. M., Busemeyer, J. R., & Townsend, J. T. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.370 · Cited by 789
ECONOMETRIC ANALYSIS OF QUALITATIVE RESPONSE MODELSPreprint
McFadden, D. L. (1984) · RePEc: Research Papers in Economics · Cited by 747
On the Relationship between iTem Response Theory and Factor Analysis of Discretized Variables
Takane, Y., & de Leeuw, J. (1987) · Psychometrika · doi:10.1007/bf02294363 · Cited by 699
Neural computations underlying arbitration between model-based and model-free learning
Lee, S. W., Shimojo, S., & O’Doherty, J. P. (2014) · Neuron · doi:10.1016/j.neuron.2013.11.028 · Cited by 642
“Finally, the arbitration model selects actions stochastically according to the following softmax function (Gläscher et al., 2010; Luce, 1959) (the”
MethodThe Value of Privacy Assurance: An Exploratory Field Experiment1
Hui, K.-L., Teo, H. H., & Lee, S.-Y. T. (2007) · MIS Quarterly · doi:10.2307/25148779 · Cited by 614
“Contemporary choice theory assumes that people make choices by maximizing a utility function that is decomposable into multiple contributors (Ben-Akiva and Lerman 1985; Luce 1959; McFadden 1986, 2001).”
BackgroundThe pure theory of large two-candidate elections
Ledyard, J. O. (1984) · Public Choice · doi:10.1007/bf00124816 · Cited by 598
Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study
Reutskaja, E., Nagel, R., Camerer, C. F., & Rangel, A. (2011) · American Economic Review · doi:10.1257/aer.101.2.900 · Cited by 582
Maia, T. V., & McClelland, J. L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406666101 · Cited by 568
Consumer response to stockouts
Fitzsimons, G. J. (2000) · Journal of Consumer Research · doi:10.1086/314323 · Cited by 514
DYNAMIC RESPONSE-BY-RESPONSE MODELS OF MATCHING BEHAVIOR IN RHESUS MONKEYS
Lau, B., & Glimcher, P. W. (2005) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2005.110-04 · Cited by 485
Combining sources of preference data
Hensher, D. A., Louviere, J. J., & Swait́, J. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00061-x · Cited by 492
“McFadden (1974) extended RUT to the multiple choice case, although fixed (as opposed to random) utility multiple choice models were developed earlier (e.g., Luce, 1959; Restle, 1961; Rushton, 1969).”
MethodOn the possible psychophysical laws.
Luce, R. D. (1959) · Psychological Review · doi:10.1037/h0043178 · Cited by 462
Self-citationUnderstanding brand performance measures: using Dirichlet benchmarks
Ehrenberg, A. S. C., Uncles, M., & Goodhardt, G. J. (2003) · Journal of Business Research · doi:10.1016/j.jbusres.2002.11.001 · Cited by 437
THE STATISTICAL ANALYSIS OF DISCRETE-RESPONSE CV DATAPreprint
Hanemann, W. M., & Kanninen, B. J. (1996) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.25022 · Cited by 432
Experimental analysis of choice
Batsell, R. R., & Louviere, J. J. (1991) · Marketing Letters · doi:10.1007/bf02404072 · Cited by 430
Bounded Rationality in Newsvendor Models
Su, X. (2008) · Manufacturing & Service Operations Management · doi:10.1287/msom.1070.0200 · Cited by 405
“The logit choice framework was originally developed by Luce (1959) and McFadden (1981).”
BackgroundMethodReciprocal Effects of Religiosity, Cohabitation, and Marriage
Thornton, A., Axinn, W. G., & Hill, D. H. (1992) · American Journal of Sociology · doi:10.1086/230051 · Cited by 427
Chapter 24 Econometric analysis of qualitative response models
McFadden, D. L. (1984) · Handbook of econometrics · doi:10.1016/s1573-4412(84)02016-x · Cited by 407
“These are multinomial logit models, based on the work of Lute (1959), multinomial probit models, based on the work of Thurstone (1927), and elimination models, based on the work of Tversky (1972).”
BackgroundMethodValue Representations in the Primate Striatum during Matching Behavior
Lau, B., & Glimcher, P. W. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.021 · Cited by 419
“Action-values represent the desirabilities of actions and can be used to make choices ( Luce, 1959; Sutton and Barto, 1998).”
Adolescents’ risk-taking behavior is driven by tolerance to ambiguity
Tymula, A., Rosenberg Belmaker, L. A., Roy, A. K., Ruderman, L., Manson, K., Glimcher, P. W., & Levy, I. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207144109 · Cited by 387
What You Don't Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions
Rust, R. T., Inman, J. J., Jia, J., & Zahorik, A. J. (1999) · Marketing Science · doi:10.1287/mksc.18.1.77 · Cited by 390
An Experimental Study of Belief Learning Using Elicited Beliefs
Nyarko, Y., & Schotter, A. (2002) · Econometrica · doi:10.1111/1468-0262.00316 · Cited by 396
Chasing a Moving Target: Exploitation and Exploration in Dynamic Environments
Posen, H. E., & Levinthal, D. A. (2011) · Management Science · doi:10.1287/mnsc.1110.1420 · Cited by 382
“Although per March (1996) and Le Mens and Denrell (2011), risk”
BackgroundMethodThe relationship between cohabitation and divorce: Selectivity or causal influence?
Axinn, W. G., & Thornton, A. (1992) · Demography · doi:10.2307/2061823 · Cited by 395
“is the "independence of irrelevant alternatives" assumption discussed by Luce (1959) and more recently by McFadden (1975) as the "red bus-blue bus" problem.”
BackgroundThe representation of economic value in the orbitofrontal cortex is invariant for changes of menu
Padoa‐Schioppa, C., & Assad, J. A. (2007) · Nature Neuroscience · doi:10.1038/nn2020 · Cited by 407
Busemeyer, J. R., & Stout, J. C. (2002) · Psychological Assessment · doi:10.1037/1040-3590.14.3.253 · Cited by 493
Tversky, A. (1972) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(72)90011-9 · Cited by 387
Kumaran, D., & McClelland, J. L. (2012) · Psychological Review · doi:10.1037/a0028681 · Cited by 385
“Choice probabilities were then determined by applying the Luce choice rule (equivalent to the softmax function; Luce, 1959) to the activity values of the relevant units in the response layer (e.g., B and D units in the transitivity task): P 1 ey1/ ey1/ ey2/ , where P(1) is the probability of…”
MethodSeparate value comparison and learning mechanisms in macaque medial and lateral orbitofrontal cortex
Noonan, M. P., Walton, M. E., Behrens, T. E. J., Sallet, J., Buckley, M. J., & Rushworth, M. F. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012246107 · Cited by 340
Beshears, J., Choi, J. J., Laibson, D., & Madrian, B. C. (2008) · Journal of Public Economics · doi:10.1016/j.jpubeco.2008.04.010 · Cited by 362
Shen, Z. M., & Su, X. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00291.x · Cited by 331
“What are the implications when consumers resort to simplifying decision-making heuristics, such as the availability and representativeness heuristics (see Tversky and Kahneman 1974)? What if consumers satisfice instead of optimize (see Simon 1982)? What if consumers are subject to “occasional” optimization errors (see…”
BackgroundDemand Functions in Decision Modeling: A Comprehensive Survey and Research Directions
Huang, J. (2013) · Decision Sciences · doi:10.1111/deci.12021 · Cited by 344
“When there is no leadtime competition, most authors have used the linear model, the Cobb-Douglas model, the multi-nomial logit (MNL) model and the willingness-to-pay model to characterize the leadtime-dependent demand.”
MethodLi, H., & Huh, W. T. (2011) · Manufacturing & Service Operations Management · doi:10.1287/msom.1110.0344 · Cited by 292
“To address this drawback, 2 McFadden (1978, 1980) have generalized the MNL model of Luce (1959) to a Generalized Extreme Value (GEV) model with a nested choice structure, which is also known as the Nested Logit model.”
BackgroundMethodInfluentialWhy Most People Disapprove of Me: Experience Sampling in Impression Formation.
Denrell, J. C. (2005) · Psychological Review · doi:10.1037/0033-295x.112.4.951 · Cited by 352
Variety Seeking Through Brand Switching
Givon, M. M. (1984) · Marketing Science · doi:10.1287/mksc.3.1.1 · Cited by 339
Operant behavior as adaptation to constraint.
Staddon, J. E. R. (1979) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.108.1.48 · Cited by 335
A Nonparametric Approach to Modeling Choice with Limited Data
Farias, V. F., Jagabathula, S., & Devavrat Shah, B. (2013) · Management Science · doi:10.1287/mnsc.1120.1610 · Cited by 298
“For example, within airline RM, the simulation studies conducted by Belobaba and Hopperstad (1999) on the well known passenger origin and destination simulator (PODS) suggested the value of corrections to the independent demand model; more recently, Ratliff et al. (2008) and Vulcano et al. (2010) have demonstrated val…”
MethodInfluentialStochastic Choice and Consideration Sets
Manzini, P., & Mariotti, M. (2014) · Econometrica · doi:10.3982/ecta10575 · Cited by 303
“It is a simple form of menu independence, alternative to Luce’s IIA (Luce [19]):”
BackgroundMethodA mathematical model for the behavior of pedestrians
Helbing, D. (1991) · Systems Research and Behavioral Science · doi:10.1002/bs.3830360405 · Cited by 332
Assortment Optimization Under Variants of the Nested Logit Model
Davis, J. M., Gallego, G., & Topaloğlu, H. (2014) · Operations Research · doi:10.1287/opre.2014.1256 · Cited by 289
The cognitive side of probability learning.
Estes, W. K. (1976) · Psychological Review · doi:10.1037/0033-295x.83.1.37 · Cited by 326
Inherent Tradeoffs in the Fair Determination of Risk Scores
Raghavan, M. (2023) · ACM eBooks · doi:10.1145/3603195.3603197 · Cited by 350
Davis, B. (1990) · Probability Theory and Related Fields · doi:10.1007/bf01197845 · Cited by 319
The Effects of Feature‐Label‐Order and Their Implications for Symbolic Learning
Ramscar, M., Yarlett, D. G., Dye, M., Denny, K., & Thorpe, K. (2010) · Cognitive Science · doi:10.1111/j.1551-6709.2009.01092.x · Cited by 299
“The P(x) likelihoods were normalized using the Luce Choice Axiom in order to yield normalized probability estimates.”
MethodGoal Orientation and Consumer Preference for the Status Quo
Chernev, A. (2004) · Journal of Consumer Research · doi:10.1086/425090 · Cited by 312
“0093-5301/2004/3103-0007$10.00”
InfluentialPairwise ranking aggregation in a crowdsourced setting
Chen, X., Bennett, P. N., Collins‐Thompson, K., & Horvitz, E. (2013) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/2433396.2433420 · Cited by 307
“Copyright 2013 ACM 978-1-4503-1869-3/13/02 ...$15.00.”
MethodInfluentialLearning as accumulation: A reexamination of the learning curve.
Mazur, J., & Hastie, R. (1978) · Psychological Bulletin · doi:10.1037/0033-2909.85.6.1256 · Cited by 298
Neuroeconomic Foundations of Economic Choice—Recent Advances
Fehr, E., & Rangel, A. (2011) · The Journal of Economic Perspectives · doi:10.1257/jep.25.4.3 · Cited by 283
McMurray, B., & Jongman, A. (2011) · Psychological Review · doi:10.1037/a0022325 · Cited by 284
“This could be modeled with something like the Luce-choice rule (Luce, 1959), which includes a temperature parameter controlling how “winner-take-all” the decision is.”
MethodDistinguishing among models of contextually induced preference reversals.
Wedell, D. H. (1991) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.17.4.767 · Cited by 285
“He demonstrated that including SA in the choice set reduced choices disproportionately more for A than for B, violating independence from irrelevant alternatives (Luce, 1959).”
BackgroundThe multiattribute linear ballistic accumulator model of context effects in multialternative choice.
Trueblood, J. S., Brown, S. D., & Heathcote, A. (2014) · Psychological Review · doi:10.1037/a0036137 · Cited by 273
“One study that has explored this issue was an episodic memory experiment conducted by Maylor and Roberts (2007), which demonstrated both attraction and similarity effects. There is also little experimental work examining context effects in low-level tasks. Choplin and Hummel (2005) found the attraction effect with ova…”
BackgroundTrueblood, J. S., Brown, S. D., Heathcote, A., & Busemeyer, J. R. (2013) · Psychological Science · doi:10.1177/0956797612464241 · Cited by 259
“This challenge extends to the ratio-of-strengths rule, signal detection models, and other choice models that satisfy simple scalability (Luce, 1959; Medin & Schaffer, 1978; Nosofsky, 1986).”
BackgroundSNIF-ACT: A Cognitive Model of User Navigation on the World Wide Web
Fu, W., & Pirolli, P. L. T. (2007) · Human-Computer Interaction · doi:10.1080/07370020701638806 · Cited by 294
“First, as with other well-known choice equations in psychology (eg, Luce, 1959 ; Thurstone, 1927 ), the choice of a particular link n is conditional on the utilities of other links.”
Dopamine prediction error responses integrate subjective value from different reward dimensions
Lak, A., Stauffer, W. R., & Schultz, W. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321596111 · Cited by 257
Optimization Incentives and Coordination Failure in Laboratory Stag Hunt Games
Battalio, R. C., Samuelson, L., & Huyck, J. B. V. (2001) · Econometrica · doi:10.1111/1468-0262.00212 · Cited by 256
Stochastic Choice and Preferences for Randomization
Agranov, M., & Ortoleva, P. (2016) · Journal of Political Economy · doi:10.1086/689774 · Cited by 247
Nontransitive preferences in decision theory
Fishburn, P. C. (1991) · Journal of Risk and Uncertainty · doi:10.1007/bf00056121 · Cited by 254
Survey of decision field theory
Busemeyer, J. R., & Diederich, A. (2002) · Mathematical Social Sciences · doi:10.1016/s0165-4896(02)00016-1 · Cited by 243
“For example, the Luce (1959) choice model is a member”
MethodBellem, H., Thiel, B., Schrauf, M., & Krems, J. F. (2018) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.02.036 · Cited by 269
Constrained Assortment Optimization for the Nested Logit Model
Gallego, G., & Topaloğlu, H. (2014) · Management Science · doi:10.1287/mnsc.2014.1931 · Cited by 220
Identifying and Quantifying Multisensory Integration: A Tutorial Review
Stevenson, R. A., Ghose, D., Fister, J. K., Sarko, D. K., Altieri, N. A., Nidiffer, A. R., Kurela, L. R., Siemann, J. K., James, T. W., & Wallace, M. T. (2014) · Brain Topography · doi:10.1007/s10548-014-0365-7 · Cited by 258
“FLMP utilizes a formula similar to Luce’s choice rule (Luce 1959) to describe how auditory and visual cues are combined.”
MethodToscano, J. C., & McMurray, B. (2010) · Cognitive Science · doi:10.1111/j.1551-6709.2009.01077.x · Cited by 247
“The model was presented with a pair of VOT and VL values, and identification responses were computed from the posterior probability for each category, which were then normalized using the Luce choice rule (Luce, 1959; temperature = 1) to obtain the proportion of ⁄ p ⁄ responses.”
MethodJoint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice
Akçay, Y., Natarajan, H. P., & Xu, S. H. (2010) · Management Science · doi:10.1287/mnsc.1100.1178 · Cited by 225
Modelling Recreation Demand Using Choice Experiments: Climbing in Scotland
Hanley, N. D., Wright, R. E., & Koop, G. M. (2002) · Environmental and Resource Economics · doi:10.1023/a:1016077425039 · Cited by 240
“Climbing in Scotland”
BackgroundStated preference and choice models applied to recreation research: A review
Louviere, J. J., & Timmermans, H. J. P. (1990) · Leisure Sciences · doi:10.1080/01490409009513087 · Cited by 237
Thed-Level Nested Logit Model: Assortment and Price Optimization Problems
Li, G., Rusmevichientong, P., & Topaloğlu, H. (2015) · Operations Research · doi:10.1287/opre.2015.1355 · Cited by 197
Wilcox, N. T. (2008) · Research in experimental economics · doi:10.1016/s0193-2306(08)00004-5 · Cited by 230
Krugel, L. K., Biele, G., Mohr, P. N. C., Li, S.-C., & Heekeren, H. R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905191106 · Cited by 229
Diagnostic hypothesis generation and human judgment.
Thomas, R. P., Dougherty, M. R. P., Sprenger, A. M., & Harbison, J. I. (2008) · Psychological Review · doi:10.1037/0033-295x.115.1.155 · Cited by 231
“The probability that a hypothesis is sampled from this set is determined by its activation relative to the activation of all other hypotheses in semantic memory with positive activation (cf. Luce’s choice axiom; Luce, 1959).”
BackgroundDeterminants of household energy use in Bhutan
Rahut, D. B., Das, S., Groote, H. D., et al. (2014) · Energy · doi:10.1016/j.energy.2014.03.062 · Cited by 226
“The relative odds of one alternative being chosen over a second should be independent of the presence or absence of an un-chosen third alternative [42].”
BackgroundEconomics and Psychology: Lessons For Our Own Day From the Early Twentieth Centuly
Lewin, S. B. (2016) · RePEc: Research Papers in Economics · Cited by 303
Introduction to Attribute-Based Stated Choice Methods
Adamowicz, W., Louviere, J. J., & Swait́, J. (1998) · Cited by 219
Prediction in Marketing Using the Support Vector Machine
Cui, D., & Curry, D. J. (2005) · Marketing Science · doi:10.1287/mksc.1050.0123 · Cited by 219
The derivation of subjective scales from just noticeable differences.
Luce, R. D., & Edwards, W. (1958) · Psychological Review · doi:10.1037/h0039821 · Cited by 215
Self-citationWeber, E. U., Böckenholt, U., Hilton, D., & Wallace, B. (1993) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.19.5.1151 · Cited by 235
“In analogy to Luce's (1959) pairwise choice model, which assumes that choice between two alternatives is a probabilistic function of the alternatives' selection strength, the ranking model assumes that the rank order in which diagnoses are generated (e.”
MethodPerceptual-cognitive universals as reflections of the world
Shepard, R. N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000012 · Cited by 217
Lee, M. K., Kusbit, D., Kahng, A., Kim, J. T., Yuan, X., Chan, A., See, D., Noothigattu, R., Lee, S., Psomas, A., et al. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359283 · Cited by 260
Transfer Program Complexity and the Take-Up of Social Benefits
Kleven, H. J., & Kopczuk, W. (2011) · American Economic Journal: Economic Policy · doi:10.1257/pol.3.1.54 · Cited by 199
Griffiths, T. L., Chater, N., Norris, D., & Pouget, A. (2012) · Psychological Bulletin · doi:10.1037/a0026884 · Cited by 192
“Many Bayesian models make the assumption that this is how people select responses, based on a long tradition of behavioral models of choice (e.g., Luce, 1959).”
BackgroundA crowdsourceable QoE evaluation framework for multimedia content
Chen, K.-T., Wu, C., Chang, Y.-C., & Lei, C. (2009) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1631272.1631339 · Cited by 192
“One of the most widely used models for this purpose is the Bradley-Terry-Luce (BTL) model [6,27], which predicts P ij , the probability of choosing T i over T j , as a function associated with the “true” ratings of the two quality levels: where u ( T i ) = log π ( T i ) is the estimated QoE score…”
MethodSTIMULI, REINFORCERS, AND BEHAVIOR: AN INTEGRATION
Davison, M., & Nevin, J. A. (1999) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1999.71-439 · Cited by 195
Substitutability and similarity in binary choices
Tversky, A., & Russo, J. E. (1969) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(69)90027-3 · Cited by 194
Modeling market mechanism with minority game
Challet, D., Matteo Marsili, A., & Zhang, Y. (2000) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(99)00446-x · Cited by 187
“More generally one can consider a probabilistic choice rule – the so called Logit model [11] – such that P (si(t) = s) ∝ exp[ΓUs,i(t)], (see [12,6,7]).”
BackgroundContext, scale structure, and statistics in the interpretation of positive-form adjectives
Lassiter, D., & Goodman, N. D. (2013) · Proceedings from Semantics and Linguistic Theory · doi:10.3765/salt.v23i0.2658 · Cited by 200
Bayesian Inference for Finite Mixtures of Generalized Linear Models with Random Effects
Lenk, P., & DeSarbo, W. S. (2000) · Psychometrika · doi:10.1007/bf02294188 · Cited by 171
“Both the logit and probit models can be derived from random utility models (Luce, 1959; and McFadden, 1974) with the same deterministic component and different error structures.”
MethodRent Seeking with Bounded Rationality: An Analysis of the All‐Pay Auction
Anderson, S. P., Goeree, J. K., & Holt, C. A. (1998) · Journal of Political Economy · doi:10.1086/250031 · Cited by 185
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review