Relevant bibliographies by topics / Multinomial Logit Model (MNLM)

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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 'Multinomial Logit Model (MNLM)'

Author: Grafiati
Published: 11 December 2022
Last updated: 19 July 2025

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Journal articles on the topic "Multinomial Logit Model (MNLM)"

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Nurlaela, S. "An application of Multinomial Logit Model (MNL) on tourist destination choices." IOP Conference Series: Earth and Environmental Science 202 (November 27, 2018): 012021. http://dx.doi.org/10.1088/1755-1315/202/1/012021.

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Irianti, S., and P. Prasetyoputra. "The struggle for water in Indonesia: the role of women and children as household water fetcher." Journal of Water, Sanitation and Hygiene for Development 9, no. 3 (2019): 540–48. http://dx.doi.org/10.2166/washdev.2019.005.

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AbstractGlobally, billions of people are still without access to safe water. Every day they need to travel far to fetch water, and most of them are women. The gender and water fetching issue in Indonesia is under-researched. Hence, this article addresses the spatial, environmental, and socio-demographic correlates of women or children as the household water fetcher in Indonesia. Using data from the 2013 Baseline Health Research (Riskesdas) from the Ministry of Health, we fitted a multivariable multinomial logit regression model (MNLM) to examine the relationship between women and children as w
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Yingcui, Du, Liu Benxing, Dong Shulong, Wang Xiaoqing, and Zhao Pengsheng. "Research on Travel Mode Selection Decision Method Based on Discrete Choice Model." Journal of Scientific and Engineering Research 9, no. 8 (2022): 59–67. https://doi.org/10.5281/zenodo.10527716.

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<strong>Abstract</strong> With the development of Sweden&rsquo;s economy, new modes of transportation have gradually developed. In order to understand the acceptance of new modes of transportation by the Swedish people, this paper takes the Swedish people as the research object. The data are obtained by filling out questionnaires on the spot, mailing questionnaires and SP surveys. BIOGEME is used to establish a Multinomial Logit (MNL) model to analyze the travel choice behavior of the Swedish people under various modes of transportation, helping the government to further optimize and improve t
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Davis, Peter, and Pasquale Schiraldi. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products." RAND Journal of Economics 45, no. 1 (2014): 32–63. http://dx.doi.org/10.1111/1756-2171.12041.

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Yugihartiman, Masrono, B. Budiono, Maman Setiawan, and Achmad Kemal Hidayat. "Estimating Travel Choice Probability of Link-Based Congestion Charging Scheme for Car Commuter Trips in Jakarta." Sustainability 15, no. 10 (2023): 8104. http://dx.doi.org/10.3390/su15108104.

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The likely effects on car commuters of enforcing congestion charging using the link-based corridor method include that they may shift to public transport, divert their route of travel, or decide not to travel to the related area. However, most recent research has focused mainly on the choice of modes. This paper examined the travel choices of private car commuters resulting from the congestion charging scheme set to be implemented in Jakarta, Indonesia. The scheme is intended to replace the current odd-even strategy. It is imperative to study all possible mutually exclusive alternatives faced
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Xie, Feng, Ming Xie, and Cheng Wang. "Using the MNL Model in a Mobile Device’s Indoor Positioning." Biomimetics 8, no. 2 (2023): 252. http://dx.doi.org/10.3390/biomimetics8020252.

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Indoor Positioning Services (IPS) allow mobile devices or bionic robots to locate themselves quickly and accurately in large commercial complexes, shopping malls, supermarkets, exhibition venues, parking garages, airports, or train hubs, and access surrounding information. Wi-Fi-based indoor positioning technology can use existing WLAN networks, and has promising prospects for broad market applications. This paper presents a method using the Multinomial Logit Model (MNL) to generate Wi-Fi signal fingerprints for positioning in real time. In an experiment, 31 locations were randomly selected an
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Lalisa, Wendimu Biyena. "Perception of effect of climate change and adaptation strategies of beekeepers of Welmera district, Ethiopia." International Journal of Environmental & Agriculture Research 6, no. 9 (2020): 01–09. https://doi.org/10.5281/zenodo.4059140.

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<strong><em>Abstract</em></strong><strong>&mdash;</strong> <em>This study identifies factors affecting smallholder beekeepers&rsquo; decisions to choose strategies to adapt to climate change in Welmera District, Oromia regional state, Ethiopia. Accordingly, quantitative data analysis and a multinomial logit model was used to identify&nbsp; perception of effects of climate change and adaptation strategies, and factors influencing beekeepers&rsquo; choice of adaptation strategies to climate change, respectively. Results signified that skip honey harvesting, additional feeding, bee hive shade and
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Yan, Yongnan, Xiangdong Xu, and Anthony Chen. "Is it Necessary to Relax the IID Assumptions in the Logsum-Based Accessibility Analysis?" Transportation Research Record: Journal of the Transportation Research Board 2673, no. 4 (2019): 84–96. http://dx.doi.org/10.1177/0361198119839972.

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Accessibility is an important link between transportation and land use. As a typical measure of accessibility, logsum or a utility-based measure has been widely used in project appraisal, urban transit accessibility evaluation, destination choice, and network vulnerability analysis. Since the logsum term is the log of the denominator of the choice probability expression, it inherits the independently and identically distributed (IID) assumptions of the classical multinomial logit (MNL) route choice model. This paper aims to explore whether the IID assumptions have a significant effect on the l
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Erokhin, Viktor V. "FORECASTING THE ECONOMY OF THE SCIENTIFIC SECTOR BASED ON DISCRETE CHOICE MODELS USING ARTIFICIAL NEURAL NETWORKS IN CROSS-COUNTRY ANALYSIS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/7, no. 146 (2024): 6–20. http://dx.doi.org/10.36871/ek.up.p.r.2024.05.07.001.

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The article presents a study of the influence of artificial deep neural networks (AGNN) on increasing the accuracy and reliability of predictive regression models in the economics of the scientific sector of 61 countries, including Russia. We integrated the feedforward IGNS into the econometric discrete choice model (DCM), which represents a multinomial logit model (MNLR). AGNN in regression models built on statistical data with a large range of standard deviation lead to an increase in forecasting accuracy by at least 32% within 0,8 periods of the analyzed data. The use of integration of AGNN
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Lipovetsky, Stan, and Michael Conklin. "MaxDiff Priority Estimations with and without HB-MNL." Advances in Adaptive Data Analysis 07, no. 01n02 (2015): 1550002. http://dx.doi.org/10.1142/s1793536915500028.

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Maximum difference (MaxDiff) is a discrete choice modeling approach widely used in marketing research for finding utilities and preference probabilities among multiple alternatives. It can be seen as an extension of the paired comparison in Thurstone and Bradley–Terry techniques for the simultaneous presenting of three, four or more items to respondents. A respondent identifies the best and the worst ones, so the remaining are deemed intermediate by preference alternatives. Estimation of individual utilities is usually performed in a hierarchical Bayesian (HB)-multinomial-logit (MNL) modeling.
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Dissertations / Theses on the topic "Multinomial Logit Model (MNLM)"

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Basu, Nandita. "Pedestrian route choice behaviour: Influences of built environment on route preference, safety and security." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/236797/1/Thesis_Nandita%2BBasu_24112022.pdf.

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Built environment factors influence pedestrian route choice behaviour, but their impact is not well known. This thesis investigates the influences of the built environment factors on walking route preference and safety. By using the ‘Physical Activity through Sustainable Transport Approaches’ framework, this research studied the perceptions and preferences of pedestrian route choice in a typical suburban environment in Australia through a stated preference survey. This thesis has established the interrelationship between safety, security, and built environment factors across men and women pede
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Nasrin, Sharmin. "Acceptability of Bus Rapid Transit (BRT) to commuters in Dhaka." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/89770/4/Sharmin_Nasrin_Thesis.pdf.

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This research has made substantial and novel contributions to the body of knowledge by combining mixed, quantitative and qualitative analyses to understand the potential uptake of a proposed Bus Rapid Transit (BRT) system by commuters in a developing country's megacity, using Dhaka, Bangladesh as the case study. The quantitative analysis took a unique approach by dividing the analysis into an exploratory analysis of Revealed Preference (RP) survey data, modelling with RP data and modelling with Preferred Mode Selection (PMS) survey data. The qualitative analysis also made a novel contribution
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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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Liu, Yulin. "Urban transit quality of service : user perception and behaviour." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61517/1/Yulin_Liu_Thesis.pdf.

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Despite its potential multiple contributions to sustainable policy objectives, urban transit is generally not widely used by the public in terms of its market share compared to that of automobiles, particularly in affluent societies with low-density urban forms like Australia. Transit service providers need to attract more people to transit by improving transit quality of service. The key to cost-effective transit service improvements lies in accurate evaluation of policy proposals by taking into account their impacts on transit users. If transit providers knew what is more or less important t
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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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Books on the topic "Multinomial Logit Model (MNLM)"

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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 "Multinomial Logit Model (MNLM)"

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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 most common goodness of fit models used in DCE research.
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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 space and the willingness-to-pay space. We conclude with an analysis of Latent Class Mixed Logit (LC-MXL) models and a discussion of extensions of RP-MXL and LC-MXL models.
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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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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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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 "Multinomial Logit Model (MNLM)"

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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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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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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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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 "Multinomial Logit Model (MNLM)"

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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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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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