Relevant bibliographies by topics / Standard multinomial logit model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Standard multinomial logit model'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Standard multinomial logit model"

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Fomby, Thomas B., and James E. Pearce. "Standard errors in the multinomial logit model." Communications in Statistics - Theory and Methods 15, no. 8 (1986): 2555–68. http://dx.doi.org/10.1080/03610928608829268.

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Breen, Richard, and Jan O. Jonsson. "Analyzing Educational Careers: A Multinomial Transition Model." American Sociological Review 65, no. 5 (2000): 754–72. http://dx.doi.org/10.1177/000312240006500507.

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The logit model of educational transitions has become standard in research in educational stratification. One limitation of the model, however, is the assumption that individuals progress through the educational system in a unilinear sequential mode. Many school systems contain parallel branches of study that are most fruitfully seen as qualitatively different alternative pathways with different probabilities of school continuation attached to them. This study tests a multinomial model of educational careers, that takes previous paths and grade-point averages into account. Applied to a large S
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Jones, Stewart, and David A. Hensher. "Predicting Firm Financial Distress: A Mixed Logit Model." Accounting Review 79, no. 4 (2004): 1011–38. http://dx.doi.org/10.2308/accr.2004.79.4.1011.

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Over the past three decades the literature on financial distress prediction has largely been confined to simple multiple discriminant analysis, binary logistic or probit analysis, or rudimentary multinomial logit models (MNL). There has been a conspicuous absence of modeling innovation in this literature as well as a failure to keep abreast of important methodological developments emerging in other fields of the social sciences. In particular, there has been no recognition of major advances in discrete choice modeling over the last 15 years, which has increasingly relaxed behaviorally question
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Li, Xiaowei, Yuting Wang, Yao Wu, Jun Chen, and Jibiao Zhou. "Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks." Journal of Advanced Transportation 2021 (September 14, 2021): 1–22. http://dx.doi.org/10.1155/2021/9219176.

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This study conducts a comprehensive comparative analysis of regression-based multinomial models and artificial neural network models in intercity travel mode choices. The four intercity travel modes of airplane, high-speed rail (HSR), train, and express bus were used for analysis. Passengers’ activity data over the process of intercity travel were collected to develop the models. The standard multinomial logit (MNL) regression and Bayesian multinomial logit (BMNL) regression were compared with the radial basis function (RBF) and multilayer perceptron (MLP). The results show that MLP performs b
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Thu Nguyet, Phan Thi, and Muslem Daud. "Computer Adaptive Test Development To Assess Students’ Psychology." JURNAL SERAMBI ILMU 22, no. 1 (2021): 139–49. http://dx.doi.org/10.32672/si.v22i1.2760.

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Stress becomes a significantly serious issue among university students and we need efficient tools to understand it more. The aim of present study is to develop a Computerized Adaptive Testing (CAT) to measure the mentioned stress, as pioneer project in Vietnam. In this vein, an item bank of 68 items has been constructed, which is based on Likert Polytomous Scales through five subdomains: behavior, academic performance, family, lecturer and finance. The sampling of the survey is large. It has assessed 2,085 students (704 males and 1,381 females). Multidimensional Random Coefficients Multinomia
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Qian, Cao, Sun Aimei, and Fu Yuan. "Analysis of factors influencing the severity of two wheeled vehicle collision accidents at intersections." Journal of Scientific and Engineering Research 9, no. 7 (2022): 77–83. https://doi.org/10.5281/zenodo.10529115.

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<strong>Abstract</strong> Due to the dense urban population, the road carrying capacity can not meet people's travel needs, more and more residents choose flexible two wheeled vehicles when facing short distance. In order to study the main characteristics and influencing factors of two wheeled vehicle accidents at intersections, this paper establishes a standard multinomial logit model by considering 9 factors, including the time of the accident, season, weather conditions, road conditions, visibility, drinking and retrograde violations, gender and the time of occurrence. The analysis shows th
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Phan Thi Thu Nguyet. "Computer Adaptive Test Development To Assess Students’ Psychology." Jurnal Serambi Ilmu 22, no. 1 (2024): 139–49. https://doi.org/10.32672/jsi.v22i1.1120.

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Psychology stability plays great role in students’ learning, and stress becomes asignificantly serious issue among university students. An efficient tools isneeded to understand it more. The aim of present study is to develop aComputerized Adaptive Testing (CAT) as pioneer project in South East Asia,and starting in Vietnam. In this vein, an item bank of 68 items has beenconstructed, which is based on Likert Polytomous Scales through five subdomains: behavior, academic performance, family, lecturer and finance. It hasassessed 2,085 students (704 males and 1,381 females). MultidimensionalRandom
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Putman, Stephen H. "Extending DRAM Model: Theory-Practice Nexus." Transportation Research Record: Journal of the Transportation Research Board 1552, no. 1 (1996): 112–19. http://dx.doi.org/10.1177/0361198196155200116.

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The DRAM and EMPAL models of household and employment location and land use, respectively, have seen numerous applications by regional planning agencies and metropolitan planning organizations. One reason for this is that compared with other location and land use models, they are relatively easy to use. The theoretical structure of these models is that of aggregate multinomial logit. They are representations of choice probability means for household types and employment types, with their structures being derived from location surplus formulations. In operation the parameters of these models’ e
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Glasgow, Garrett, and Sona N. Golder. "A New Approach to the Study of Parties Entering Government." British Journal of Political Science 45, no. 4 (2014): 739–54. http://dx.doi.org/10.1017/s0007123414000015.

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Previous studies of the factors that influence the ability of parties to join governments have estimated binary choice models using the parties as the unit of analysis, which inappropriately treats each party in a government formation opportunity as an independent observation (a problem that clustered standard errors do not solve) and does not allow researchers to control for important coalition-level effects. This article demonstrates that a preferred methodological approach is to first estimate a standard multinomial choice model (conditional logit or mixed logit) of coalition formation, usi
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Koppelman, Frank S., and Laurie A. Garrow. "Efficiently Estimating Nested Logit Models with Choice-Based Samples." Transportation Research Record: Journal of the Transportation Research Board 1921, no. 1 (2005): 63–69. http://dx.doi.org/10.1177/0361198105192100108.

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Choice-based samples oversample infrequently chosen alternatives to obtain an effective representation of the behavior of people who select these alternatives. However, the use of choice-based samples requires recognition of the sampling process in formulating the estimation procedure. In general, this procedure can be accomplished by applying weights to the observed choices in the estimation process. Unfortunately, the use of such weighted estimation procedures for choice models does not yield efficient estimators. However, for the special case of the multinomial logit model with a full set o
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Dissertations / Theses on the topic "Standard multinomial logit model"

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Frühwirth-Schnatter, Sylvia, and Rudolf Frühwirth. "Bayesian Inference in the Multinomial Logit Model." Austrian Statistical Society, 2012. http://epub.wu.ac.at/5629/1/186%2D751%2D1%2DSM.pdf.

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The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution. Based on multivariate finite mixture approximations of the multivariate logistic distribution, various data-augmented Metropolis-Hastings algorithms are developed for a Bayesian inference of the MNL model.
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Hendricks, Nathan. "Estimating irrigation water demand with a multinomial logit selectivity model." Thesis, Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/326.

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Nagel, Herbert, and Reinhold Hatzinger. "Diagnostics in some Discrete Choice Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1990. http://epub.wu.ac.at/506/1/document.pdf.

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Discrete choice models form a class of models widely used in econometrics for modelling the individual choice from a finite set of alternatives. The most widely used model is the multinomial logit model, implicitly assuming independence of irrelevant alternatives. A generalization is the nested multinomial logit model, relaxing this strong assurnp tion. Viewing both models as nonlinear regression models a set of diagnostics is derived. This includes a hat matrix, measures of leverage, influence and residuals and an approximation to the parameters for case deletion. In an example for the multin
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Sikder, Sujan. "An Analysis of the Travel Patterns and Preferences of the Elderly." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3469.

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The number of elderly is increasing; to meet their transportation needs, it is important to clearly understand their travel patterns and preferences. Since travel patterns and preferences depend on socio-demographic and other factors, it is essential to identify these factors first to understand the travel behavior of the elderly. The main purpose of this thesis is to analyze the travel patterns and preferences of the elderly age 65 and above using 2009 National Household Travel Survey (NHTS) data. This thesis presents a detailed descriptive analysis of 2009 NHTS data to understand the travel
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Choi, Eugene. "Adaptive Reuse of Religious Buildings in the U.S: Determinants of Project Outcomes and the Role of Tax Credits." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1276711021.

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ZHANG, LEI, and XI YOU. "The Choice of STIGA Table Tennis Blades : Evidence from China." Thesis, Högskolan Dalarna, Nationalekonomi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4879.

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The purpose of this paper is to investigate how individuals with different characteristics make their choice-decisions when consuming STIGA table tennis blades, which are combinations of various attributes, such as price, control, attack, etc. It is expected that the general trend of choice behavior on this special commodity can be, at least to some extent, revealed. Data were collected using questionnaires sent to registered members of a table tennis club in China. The questionnaires included information and questions about individuals’ monthly income levels, ages, technique styles, etc. A mu
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WANG, Yanan. "Exploring online brand choice at the SKU level : the effects of internet-specific attributes." Digital Commons @ Lingnan University, 2004. https://commons.ln.edu.hk/mkt_etd/13.

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E-Commerce research shows that existing studies on online consumer choice behavior has focused on comparative studies of channel or store choice (online or offline), or online store choice (different e-tailers). Relatively less effort has been devoted to consumers’ online brand choice behavior within a single e-tailer. The goal of this research is to model online brand choice, including generating loyalty variables, setting up base model, and exploring the effects of Internet-specific attributes, i.e., order delivery, webpage display and order confirmation, on online brand choice at the SKU le
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Augustin, Bertho. "Comparison of Different Approaches to Estimating Budgets for Kuhn-Tucker Demand Systems: Applications for Individuals' Time-Use Analysis and Households' Vehicle Ownership and Utilization Analysis." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5174.

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This thesis compares different approaches to estimating budgets for Kuhn-Tucker (KT) demand systems, more specifically for the multiple discrete-continuous extreme value (MDCEV) model. The approaches tested include: (1) The log-linear regression approach (2) The stochastic frontier regression approach, and (3) arbitrarily assumed budgets that are not necessarily modeled as a function of decision maker characteristics and choice-environment characteristics. The log-linear regression approach has been used in the literature to model the observed total expenditure as way of estimating budgets for
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Numanoglu, Genc Asli. "Simulation Of Yacht Movements In Gocek Bays." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604813/index.pdf.

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Fethiye-G&ouml<br>cek area is one of the nine coastal Specially Protected Area (SPA) in Turkey. Since mid-80&rsquo<br>s G&ouml<br>cek town has developed to be a yachting center, and the bays of G&ouml<br>cek have acquired a well-earned international fame as a paradise for boating vacations. However, the uncontrolled yachting in this bay area presents a growing pressure on the environment, and the coastal and marine ecosystem. In this thesis a computer model for simulating the movements of yachts in G&ouml<br>cek Bays is developed. The computer model uses the Multinomial Logit Model (MNL) to
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Ndunda, E. N. (Ezekiel Nthee). "Wastewater reuse in urban and peri-urban irrigation : an economic assessment of improved wastewater treatment, low-risk adaptations and risk awareness in Nairobi, Kenya." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/40235.

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The overall goal of this study was to analyse the welfare effect of improved wastewater treatment with the view of making policy recommendations for sustainable urban and peri-urban irrigation agriculture in Kenya. This goal was achieved by investigating three specific objectives. The first objective was to assess the farmers’ awareness of health risks in urban and peri-urban wastewater irrigation. Second objective was to analyse the factors that affect the choice of low-risk adaptations in reuse of untreated wastewater for irrigation. The third objective was to estimate the value that urban a
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Books on the topic "Standard multinomial logit model"

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Vanhonacker, Wilfried R. What does the multinomial logit model really measure. INSEAD, 1993.

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Stratton, Leslie S. A multinomial logit model of college stopout and dropout behavior. IZA, 2005.

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Wright, Peter. Union membership and coverage: A study using the nested multinomial logit model. University of Nottingham, 1994.

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Poterba, James M. Unemployment benefits, labor market transitions, and spurious flows: A multinomial logit model with errors in classification. National Bureau of Economic Research, 1993.

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Otok, Bambang Widjanarko. Multinomial logit model pada faktor-faktor yang mempengaruhi tingkat hidup pekerja di sektor industri pengolahan Propinsi Jawa Tengah: Laporan penelitian. Jurusan Statistik, Fakultas Matematika dan Ilmu Pengatahuan [i.e. Pengetahuan] Alam, Lembaga Penelitian, Institut Teknologi Sepuluh Nopember, 1996.

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Alexopoulou, Maria. The use and evaluation of mathematical models for predicting consumer behaviour: Multinomial logit model versus conjoint analysis. Manchester Business School, MBA, 1994.

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Book chapters on the topic "Standard multinomial logit model"

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Bartels, K., Y. Boztug, and M. Müller. "Testing the Multinomial Logit Model." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57280-7_32.

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Börsch-Supan, Axel. "The Nested Multinomial Logit Model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-45633-6_4.

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Christ, Steffen. "Multinomial Logit Model for Low-Cost Travel Choice." In Operationalizing Dynamic Pricing Models. Gabler, 2011. http://dx.doi.org/10.1007/978-3-8349-6184-6_11.

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Theil, Henri. "A Multinomial Extension of the Linear Logit Model." In Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2546-8_11.

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Street, Deborah J., and Leonie Burgess. "Designs for Choice Experiments for the Multinomial Logit Model." In Design and Analysis of Experiments. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118147634.ch10.

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Kasper, Daniel, Ali Ünlü, and Bernhard Gschrey. "Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01595-8_42.

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Mariel, Petr, Danny Campbell, Erlend Dancke Sandorf, Jürgen Meyerhoff, Ainhoa Vega-Bayo, and Rebecca Blevins. "Random Utility Models: Theoretical Background." In The Economics of Non-Market Goods and Resources. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89338-4_3.

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Abstract This chapter provides an overview of the random utility maximisation (RUM) model, reviewing its assumptions and delving into its theoretical foundations. We explore the multinomial logit (MNL) model, which is widely used in DCE literature due to its many advantages. These include its robustness, ease of estimation, and straightforward interpretation, with closed-form choice probabilities that simplify calculations. We also review advanced specifications of the mixed logit model, including the random parameters logit (RP-MXL) and latent class (LC-MXL) models, and walk you through the m
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Fiona, Sauerbier, Haase Knut, Kück Jannis, and Spindler Martin. "Choice-Based Optimization Under a High-Dimensional Multinomial Logit Model." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54468-2_11.

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Mariel, Petr, Danny Campbell, Erlend Dancke Sandorf, Jürgen Meyerhoff, Ainhoa Vega-Bayo, and Rebecca Blevins. "Estimation." In The Economics of Non-Market Goods and Resources. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89338-4_9.

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Abstract This chapter covers the estimation of discrete choice models. We begin with a simple Multinomial Logit (MNL) model (with and without unobserved preference heterogeneity) and highlight the importance of optimisation diagnostics, review goodness-of-fit indicators and the identification of outliers, and provide insights into the interpretation of estimates. Progressing to more advanced topics, we continue with the Random Parameters Mixed Logit (RP-MXL) model, addressing both uncorrelated and correlated coefficients, and discuss different parameterisation approaches such as the preference
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Adams, Raymond J., and Margaret L. Wu. "The Mixed-Coefficients Multinomial Logit Model: A Generalized Form of the Rasch Model." In Multivariate and Mixture Distribution Rasch Models. Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-49839-3_4.

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Conference papers on the topic "Standard multinomial logit model"

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Fang, Zhehao, and Siyuan Meng. "Estimating travel mode choices of residents in Stockholm region based on multinomial logit model and mixed logit model." In International Conference on Smart Transportation and City Engineering (STCE 2024), edited by Zhengang Feng and Miroslava Mikusova. SPIE, 2025. https://doi.org/10.1117/12.3060925.

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Li, Hua-Min, and Hai-Jun Huang. "The Multinomial Logit Model with Last Choice Feedback." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.308.

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Suhua, Chen, Zhang Xiaojun, and Ding Jianming. "Feasibility on HOV lanes based on multinomial logit model." In 2010 2nd IEEE International Conference on Information and Financial Engineering (ICIFE). IEEE, 2010. http://dx.doi.org/10.1109/icife.2010.5609269.

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Amin, Ahmed, Khaled Hamad, and Mohsin Balwan. "Modeling Sharjah's Travel Mode Choice Using Multinomial Logit Regression Model." In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS). IEEE, 2022. http://dx.doi.org/10.1109/icetsis55481.2022.9888851.

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Wen, Chengwei, Junhong Hu, Wenjie Zhang, and Rui Tang. "Research on shared parking intention based on multinomial logit model." In ICIT 2021: IoT and Smart City. ACM, 2021. http://dx.doi.org/10.1145/3512576.3512673.

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Ou, Mingdong, Nan Li, Shenghuo Zhu, and Rong Jin. "Multinomial Logit Bandit with Linear Utility Functions." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/361.

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Multinomial logit bandit is a sequential subset selection problem which arises in many applications. In each round, the player selects a K-cardinality subset from N candidate items, and receives a reward which is governed by a multinomial logit (MNL) choice model considering both item utility and substitution property among items. The player's objective is to dynamically learn the parameters of MNL model and maximize cumulative reward over a finite horizon T. This problem faces the exploration-exploitation dilemma, and the involved combinatorial nature makes it non-trivial. In recent years, th
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Liang, Wei, Jianming Hu, Yi Zhang, and Ziwei Wang. "Multinomial logit model-based parking choice in a mall at city." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531002.

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Ali, Ismail Abou, Francesco Rouhana, Rasha Zein Eddine, and Samer al Zoer. "Estimating Travel Mode Choices of NDU Students Using Multinomial Logit Model." In 2019 Fourth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA). IEEE, 2019. http://dx.doi.org/10.1109/actea.2019.8851118.

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Frühwirth-Schnatter, Sylvia, Christoph Pamminger, Rudolf Winter-Ebmer, et al. "Model-based Clustering of Categorical Time Series with Multinomial Logit Classification." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498286.

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Shen, Shuting, Xi Chen, Ethan X. Fang, and Junwei Lu. "Combinatorial Inference on the Optimal Assortment in the Multinomial Logit Model." In EC '23: 24th ACM Conference on Economics and Computation. ACM, 2023. http://dx.doi.org/10.1145/3580507.3597753.

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Reports on the topic "Standard multinomial logit model"

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Burda, Martin, Matthew C. Harding, and Jerry Hausman. A Bayesian mixed logit-probit model for multinomial choice. Institute for Fiscal Studies, 2008. http://dx.doi.org/10.1920/wp.cem.2008.2308.

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Nesheim, Lars, and Joel L. Horowitz. Using penalized likelihood to select parameters in a random coefficients multinomial logit model. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.5019.

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Nesheim, Lars, and Joel L. Horowitz. Using penalized likelihood to select parameters in a random coefficients multinomial logit model. The IFS, 2018. http://dx.doi.org/10.1920/wp.cem.2018.2918.

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de Luis, Mercedes, Emilio Rodríguez, and Diego Torres. Machine learning applied to active fixed-income portfolio management: a Lasso logit approach. Banco de España, 2023. http://dx.doi.org/10.53479/33560.

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The use of quantitative methods constitutes a standard component of the institutional investors’ portfolio management toolkit. In the last decade, several empirical studies have employed probabilistic or classification models to predict stock market excess returns, model bond ratings and default probabilities, as well as to forecast yield curves. To the authors’ knowledge, little research exists into their application to active fixed-income management. This paper contributes to filling this gap by comparing a machine learning algorithm, the Lasso logit regression, with a passive (buy-and-hold)
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Zhang, Yongping, Carol Kachadoorian, Wen Cheng, and Edward Clay. Enhancing Older Adults’ Mobility in Active Living and Tiered Living Communities. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2159.

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The U.S. population is aging rapidly. As people get older, they increasingly face issues such as increased susceptibility to injuries and the need to be assisted with many day-to-day activities. Older adults have the opportunity to opt-in to live in an older adult community (OAC) based on their needs and capabilities. This study comprehensively reviews existing governing development regulations and design criteria related to the older adults’ communities, conducts surveys among people involved with some of these communities in California, and recommends improvements to community design for act
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