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Journal articles on the topic 'Logit conditionnel'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

DIOP, Sandjiry. "Choix des pratiques d'intensification et caractéristiques socio-économiques des exploitations du mil sanio au Sénégal." Revue Marocaine des Sciences Agronomiques et Vétérinaires 13, no. 2 (2025): 144–51. https://doi.org/10.5281/zenodo.15561071.

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L’objectif de cette étude est d’analyser le choix des pratiques d’intensification par les agriculteurs selon les caractéristiques des exploitations dans la Haute Casamance. L’approche méthodologique utilise le modèle logit conditionnel à classe latente pour analyser le choix des pratiques d’intensification dans les types d’exploitation. L’estimation du modèle logit conditionnel à classe latente montre que les pratiques du Zaï et cordon pierreux, le défrichement amélioré, les eng

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2

SANFO, Zalissa, Patrick Josué Ping-Wendé KABORE, and Patrice K. ZANRE. "Contract farming and decision to adopt rice production : Case of rice cultivation in the BAMA plain in Burkina Faso." African Scientific Journal Vol 3, N°15 (2023): 674. https://doi.org/10.5281/zenodo.7560233.

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<strong>Résumé</strong> Le riz au Burkina Faso occupe une place importante dans la consommation des ménages. Cependant, l’offre de riz sur le marché national ne couvre pas la demande locale. Ce qui n’est pas forcement liée à un problème de sous production mais souvent à un problème d’écoulement du paddy. Cette étude cherche à identifier les facteurs qui peuvent motiver un agriculteur à s’engager dans un contrat de vente. Les données utilisées sont des données

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3

LIPOVETSKY, STAN. "CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS." Advances in Adaptive Data Analysis 03, no. 03 (2011): 309–24. http://dx.doi.org/10.1142/s1793536911000738.

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For a categorical variable with several outcomes, its dependence on the predictors is usually considered in the conditional or multinomial logit models. This work considers elasticity features of the binary and categorical logits and introduces the coefficients individual by observations. The paper shows that by a special rearrangement of data the more complicated conditional and multinomial models can be reduced to binary logistic regression. It suggests the usage of any software widely available for logit modeling to facilitate constructing for complex conditional and multinomial regressions

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4

Pinus, A. G. "Conditional identity calculus and conditioned rational equivalence." Algebra and Logic 37, no. 4 (1998): 245–59. http://dx.doi.org/10.1007/bf02671628.

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5

Nánásiová, Oľga, and Sylvia Pulmannová. "Relative conditional expectations on a logic." Applications of Mathematics 30, no. 5 (1985): 332–50. http://dx.doi.org/10.21136/am.1985.104161.

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6

Shi, Haolun, and Guosheng Yin. "Boosting conditional logit model." Journal of Choice Modelling 26 (March 2018): 48–63. http://dx.doi.org/10.1016/j.jocm.2017.07.002.

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7

Cross, Charles B., and Donald Nute. "Conditional Logic." Journal of Symbolic Logic 54, no. 4 (1989): 1477. http://dx.doi.org/10.2307/2274828.

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8

Slater, B. H. "Conditional logic." Australasian Journal of Philosophy 70, no. 1 (1992): 76–81. http://dx.doi.org/10.1080/00048408112340053.

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9

Lycan, William G. "Conditional reasoning and conditional logic." Philosophical Studies 76, no. 2-3 (1994): 223–45. http://dx.doi.org/10.1007/bf00989827.

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10

Dumitrescu, D. "Fuzzy conditional logic." Fuzzy Sets and Systems 68, no. 2 (1994): 171–79. http://dx.doi.org/10.1016/0165-0114(94)90043-4.

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11

del Cerro, Luis Fariñas, and Andreas Herzig. "Interference logic = conditional logic + frame axiom." International Journal of Intelligent Systems 9, no. 1 (1994): 119–30. http://dx.doi.org/10.1002/int.4550090107.

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12

Kern-Isberner, Gabriele. "Conditional indifference and conditional preservation." Journal of Applied Non-Classical Logics 11, no. 1-2 (2001): 85–106. http://dx.doi.org/10.3166/jancl.11.85-106.

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13

Song, Youngju, Minki Cho, Dongjae Lee, Chung-Kil Hur, Michael Sammler, and Derek Dreyer. "Conditional Contextual Refinement." Proceedings of the ACM on Programming Languages 7, POPL (2023): 1121–51. http://dx.doi.org/10.1145/3571232.

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Much work in formal verification of low-level systems is based on one of two approaches: refinement or separation logic. These two approaches have complementary benefits: refinement supports the use of programs as specifications, as well as transitive composition of proofs, whereas separation logic supports conditional specifications, as well as modular ownership reasoning about shared state. A number of verification frameworks employ these techniques in tandem, but in all such cases the benefits of the two techniques remain separate. For example, in frameworks that use relational separation l

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14

Weiss, Yale. "Basic Intuitionistic Conditional Logic." Journal of Philosophical Logic 48, no. 3 (2018): 447–69. http://dx.doi.org/10.1007/s10992-018-9471-4.

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15

Ma, Minghui, and Chun-Ting Wong. "A Paraconsistent Conditional Logic." Journal of Philosophical Logic 49, no. 5 (2019): 883–903. http://dx.doi.org/10.1007/s10992-019-09540-w.

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16

Segerberg, Krister. "Notes on conditional logic." Studia Logica 48, no. 2 (1989): 157–68. http://dx.doi.org/10.1007/bf02770509.

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17

TRILLAS, E. "ON LOGIC AND FUZZY LOGIC." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 01, no. 02 (1993): 107–37. http://dx.doi.org/10.1142/s0218488593000073.

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This paper mainly consists of a review of some basic tools of Inexact Inference, its reduction to classical logic and its cautious use of Fuzzy Logic. Those tools are the concept of Conditional Relation, its greatest case of Material Conditional and the concept of Logical-States as possible worlds of "true" elements. Some recent results characterizing Monotonic Preorders are also introduced, in both the Classical and Fuzzy cases. Everything lies on the semantic level of Logic and is presented in a naive mathematical style.

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18

Steckel, Joel H., and Wilfried R. Vanhonacker. "A Heterogeneous Conditional Logit Model of Choice." Journal of Business & Economic Statistics 6, no. 3 (1988): 391. http://dx.doi.org/10.2307/1391892.

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19

Steckel, Joel H., and Wilfried R. Vanhonacker. "A Heterogeneous Conditional Logit Model of Choice." Journal of Business & Economic Statistics 6, no. 3 (1988): 391–98. http://dx.doi.org/10.1080/07350015.1988.10509677.

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20

Das, Sanghamitra. "The conditional logit estimator for unequal panels." Economics Letters 34, no. 2 (1990): 137–41. http://dx.doi.org/10.1016/0165-1765(90)90233-q.

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21

Garnett, J. J., I. R. Goodman, M. M. Gupta, H. T. Nguyen, and G. S. Rogers. "Conditional Logic in Expert Systems." Journal of the Operational Research Society 43, no. 9 (1992): 924. http://dx.doi.org/10.2307/2583298.

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22

Calabrese, Philip G. "Conditional Events and Quantum Logic." Journal of Applied Mathematics and Physics 06, no. 06 (2018): 1278–89. http://dx.doi.org/10.4236/jamp.2018.66107.

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23

Cantwell, John. "The Logic of Conditional Negation." Notre Dame Journal of Formal Logic 49, no. 3 (2008): 245–60. http://dx.doi.org/10.1215/00294527-2008-010.

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24

Eva, Benjamin. "The Logic of Conditional Belief." Philosophical Quarterly 70, no. 281 (2020): 759–79. http://dx.doi.org/10.1093/pq/pqaa008.

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Abstract The logic of indicative conditionals remains the topic of deep and intractable philosophical disagreement. I show that two influential epistemic norms—the Lockean theory of belief and the Ramsey test for conditional belief—are jointly sufficient to ground a powerful new argument for a particular conception of the logic of indicative conditionals. Specifically, the argument demonstrates, contrary to the received historical narrative, that there is a real sense in which Stalnaker’s semantics for the indicative did succeed in capturing the logic of the Ramseyan indicative conditional.

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25

Garnett, J. J. "Conditional Logic in Expert Systems." Journal of the Operational Research Society 43, no. 9 (1993): 924. http://dx.doi.org/10.1057/jors.1992.136.

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26

Gabbay, D., L. Giordano, A. Martelli, N. Olivetti, and M. L. Sapino. "Conditional reasoning in logic programming." Journal of Logic Programming 44, no. 1-3 (2000): 37–74. http://dx.doi.org/10.1016/s0743-1066(99)00072-2.

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27

Clavel, Manuel, and José Meseguer. "Reflection in conditional rewriting logic." Theoretical Computer Science 285, no. 2 (2002): 245–88. http://dx.doi.org/10.1016/s0304-3975(01)00360-7.

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28

Alpuente, M., D. Ballis, F. Frechina, and J. Sapiña. "Exploring conditional rewriting logic computations." Journal of Symbolic Computation 69 (July 2015): 3–39. http://dx.doi.org/10.1016/j.jsc.2014.09.028.

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29

Lang, Jérôme, Paolo Liberatore, and Pierre Marquis. "Conditional independence in propositional logic." Artificial Intelligence 141, no. 1-2 (2002): 79–121. http://dx.doi.org/10.1016/s0004-3702(02)00244-8.

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30

Fajardo, Sergio. "Probability logic with conditional expectation." Annals of Pure and Applied Logic 28, no. 2 (1985): 137–61. http://dx.doi.org/10.1016/0168-0072(85)90024-7.

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31

Ilić-Stepić, Angelina, Zoran Ognjanović, and Nebojša Ikodinović. "Conditional p-adic probability logic." International Journal of Approximate Reasoning 55, no. 9 (2014): 1843–65. http://dx.doi.org/10.1016/j.ijar.2014.02.001.

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32

Ponse, Alban, and Mark B. van der Zwaag. "Belnap’s logic and conditional composition." Theoretical Computer Science 388, no. 1-3 (2007): 319–36. http://dx.doi.org/10.1016/j.tcs.2007.09.027.

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33

Beirlaen, Mathieu, and Atocha Aliseda. "A conditional logic for abduction." Synthese 191, no. 15 (2014): 3733–58. http://dx.doi.org/10.1007/s11229-014-0496-0.

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34

Ristić, Vladimir, Radosav Đorđević, and Nebojša Ikodinović. "Biprobability logic with conditional expectation." Mathematical Logic Quarterly 57, no. 4 (2011): 400–408. http://dx.doi.org/10.1002/malq.201010018.

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35

Guzm�n, Fernando, and Craig C. Squier. "The algebra of conditional logic." Algebra Universalis 27, no. 1 (1990): 88–110. http://dx.doi.org/10.1007/bf01190256.

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36

Kharisma, Bayu, Sutyastie Soemitro Remi, Ferry Hadiyanto, and Andhika Dwi Saputra. "The Economics of Rotating Savings and Credit Associations (ROSCAs) and Poverty in Indonesia." Jurnal Economia 16, no. 1 (2020): 100–111. http://dx.doi.org/10.21831/economia.v16i1.30308.

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Abstract: Arisan or Rotating Savings and Credit Associations (ROSCAs) constitute one of the most commonly found informal financial institutions in the developing world. This study aims to analyze the effect of Rotating Savings And Credit Associations (ROSCAs) on poverty in Indonesia using panel data sourced from the fourth and fifth wave of the Family Life Survey (IFLS). This study used a conditional logit or fixed effect logit to see the effect of Rotating Savings and Credit Associations (ROSCAs) participation and control variables, which include individual, household, and community character

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37

Schmidheiny, Kurt, and Marius Brülhart. "On the equivalence of location choice models: Conditional logit, nested logit and Poisson." Journal of Urban Economics 69, no. 2 (2011): 214–22. http://dx.doi.org/10.1016/j.jue.2010.09.004.

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38

Magnac, Thierry. "Panel Binary Variables and Sufficiency: Generalizing Conditional Logit." Econometrica 72, no. 6 (2004): 1859–76. http://dx.doi.org/10.1111/j.1468-0262.2004.00556.x.

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39

Soofi, Ehsan S. "A Generalizable Formulation of Conditional Logit with Diagnostics." Journal of the American Statistical Association 87, no. 419 (1992): 812–16. http://dx.doi.org/10.1080/01621459.1992.10475283.

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40

Casini, Giovanni, Thomas Meyer, and Ivan Varzinczak. "Contextual Conditional Reasoning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (2021): 6254–61. http://dx.doi.org/10.1609/aaai.v35i7.16777.

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We extend the expressivity of classical conditional reasoning by introducing context as a new parameter. The enriched conditional logic generalises the defeasible setting in the style of Kraus, Lehmann and Magidor, and allows for a more refined representation of an agent’s epistemic state, distinguishing, for example, between expectations and counterfactuals. In this paper we introduce the language for the enriched logic, and define an appropriate semantic framework for it. We analyse which properties generally associated with conditional reasoning are still satisfied by the new semantic frame

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41

López-Astorga, Miguel. "Modus Tollendo Tollens with obligation conditionals: Towards a deontic inheritance logic respecting the Stoic criterion." Schole Ancient philosophy and the classical tradition 19, no. 1 (2025): 77–94. https://doi.org/10.25205/1995-4328-2025-19-1-77-94.

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We know that Modus Tollendo Tollens is a difficult rule to apply. We also know that there are circumstances in which people easily use it. One of those circumstances is whenever the conditional premise is an obligation conditional. On the other hand, the Stoic criterion of the conditional, that is, the proposal Chrysippus of Soli gave for the latter logical connective, has been related to Non-Axiomatic Logic and Inheritance Logic. My aim here is to try to show that obligation conditionals can be deemed as deontic inheritance statements in Non-Axiomatic Logic or Inheritance Logic. I will attemp

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42

Cross, Charles B. "Conditional Excluded Middle." Erkenntnis 70, no. 2 (2008): 173–88. http://dx.doi.org/10.1007/s10670-008-9146-6.

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43

Raidl, Eric. "Neutralization, Lewis‘ Doctored Conditional, or Another Note on "A Connexive Conditional"." Logos & Episteme 14, no. 1 (2023): 101–18. http://dx.doi.org/10.5840/logos-episteme20231415.

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Günther recently suggested a 'new‘ conditional. This conditional is not new, as already remarked by Wansing and Omori. It is just David Lewis‘ forgotten alternative 'doctored‘ conditional and part of a larger class termed neutral conditionals. In this paper, I answer some questions raised by Wansing and Omori, concerning the motivation, the logic, the connexive flavor and contra-classicality of such neutralized conditionals. The main message being: Neutralizing a vacuist conditional avoids (some) paradoxes of strict implication, changes the logic essentially only by Aristotle‘s Thesis, makes s

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44

Katz, Ethan. "Bias in Conditional and Unconditional Fixed Effects Logit Estimation." Political Analysis 9, no. 4 (2001): 379–84. http://dx.doi.org/10.1093/oxfordjournals.pan.a004876.

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Fixed-effects logit models can be useful in panel data analysis, when N units have been observed for T time periods. There are two main estimators for such models: unconditional maximum likelihood and conditional maximum likelihood. Judged on asymptotic properties, the conditional estimator is superior. However, the unconditional estimator holds several practical advantages, and therefore I sought to determine whether its use could be justified on the basis of finite-sample properties. In a series of Monte Carlo experiments for T < 20, I found a negligible amount of bias in both estimators

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45

Doder, Dragan, Bojan Marinkovic, Petar Maksimovic, and Aleksandar Perovic. "A logic with conditional probability operators." Publications de l'Institut Math?matique (Belgrade) 87, no. 101 (2010): 85–96. http://dx.doi.org/10.2298/pim1001085d.

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We present a sound and strongly complete axiomatization of a reasoning about linear combinations of conditional probabilities, including comparative statements. The developed logic is decidable, with a PSPACE containment for the decision procedure.

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46

Levin, Yakir. "Sufficient Conditions, Conditional Logic, and Transitivity." KRITERION – Journal of Philosophy 1, no. 17 (2003): 15–22. http://dx.doi.org/10.1515/krt-2003-011705.

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Abstract In a series of publications E.J. Lowe has advocated an attractive alternative to the orthodox view about conditionals embodied in the Stalnaker-Lewis approach. One alleged advantage of Lowe’s approach over its rival is that it offers the prospect of a simpler conditional logic. Another related advantage is that it appears to treat inference by transitivity more plausibly than does the Stalnaker-Lewis approach. One central goal of this paper is to call into question Lowe’s success in providing an account that is better than the Stalnaker-Lewis account in these respects. As part of this

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47

Fisseler, J., and I. Feher. "Data fusion with probabilistic conditional logic." Logic Journal of IGPL 18, no. 4 (2009): 488–507. http://dx.doi.org/10.1093/jigpal/jzp035.

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48

Milosevic, M., and Z. Ognjanovic. "A first-order conditional probability logic." Logic Journal of IGPL 20, no. 1 (2011): 235–53. http://dx.doi.org/10.1093/jigpal/jzr033.

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49

Lukasiewicz, Thomas. "Probabilistic logic programming with conditional constraints." ACM Transactions on Computational Logic 2, no. 3 (2001): 289–339. http://dx.doi.org/10.1145/377978.377983.

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50

N�n�siov�, Olga. "Conditional probability on a quantum logic." International Journal of Theoretical Physics 25, no. 11 (1986): 1155–62. http://dx.doi.org/10.1007/bf00668686.

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