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Journal articles on the topic 'Multiple discrete-continuous choices'

Author: Grafiati

Published: 6 September 2023

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1

Tapia, Rodrigo J., Gerard de Jong, Ana M. Larranaga, and Helena B. Bettella Cybis. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina." Networks and Spatial Economics 21, no. 3 (2021): 581–608. http://dx.doi.org/10.1007/s11067-021-09531-y.

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AbstractThere are some examples where freight choices may be of a multiple discrete nature, especially the ones at more tactical levels of planning. Nevertheless, this has not been investigated in the literature, although several discrete-continuous models for mode/vehicle type and shipment size choice have been developed in freight transport. In this work, we propose that the decision of port and mode of the grain consolidators in Argentina is of a discrete-continuous nature, where they can choose more than one alternative and how much of their production to send by each mode. The Multiple Di

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Vallejo-Borda, Jose Agustin, Eeshan Bhaduri, Hernan Alberto Ortiz-Ramirez, et al. "Modeling the COVID-19 Travel Choices in Colombia and India: A Hybrid Multiple Discrete-Continuous Nested Extreme Value Approach." Transportation Research Record: Journal of the Transportation Research Board 2677, no. 4 (2023): 778–801. http://dx.doi.org/10.1177/03611981231162588.

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The COVID-19 pandemic has affected many daily activities, primarily as a result of the perceived contagion risk and government restrictions to mitigate the spread of the virus. To this end, drastic changes in the trip choices for commuting to work have been reported and studied, mostly through descriptive analysis. On the other hand, modeling-based research that can simultaneously understand both changes in mode choice and its frequency at an individual level has not been much used in existing studies. As such, this study aims to understand the changes in mode-choice preference and the frequen

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Varghese, Varun, Makoto Chikaraishi, and Hironori Kato. "Analysis of Travel-Time Use in Crowded Trains using Discrete-Continuous Choices of Commuters in Tokyo, Japan." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 10 (2020): 189–98. http://dx.doi.org/10.1177/0361198120934794.

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Travel-based multitasking and the possibility to perform activities during travel are important factors that can make a transportation mode attractive. However, serious crowding in public transportation systems might adversely affect the passengers’ free choice to participate in activities during travel. This study aims to examine how crowding in public transportation systems is related to discrete-continuous choices in different types of multitasking options using a data set of 500 commuters in the Tokyo Metropolitan Area. Employing a multiple discrete-continuous extreme value model, this stu

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Paleti, Rajesh, and Ivana Vukovic. "Telecommuting and Its Impact on Activity–Time Use Patterns of Dual-Earner Households." Transportation Research Record: Journal of the Transportation Research Board 2658, no. 1 (2017): 17–25. http://dx.doi.org/10.3141/2658-03.

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Telecommuting choices of workers in multiworker households are likely to be interdependent. These telecommuting choices may also affect the activity–time use choices of all people in the household. From the standpoint of travel behavior and travel demand forecasting, it is important to test these hypotheses and quantify the relationship between telecommuting choices and activity–time use patterns. To do this, the present study developed a generalized extreme value–based joint count model for analyzing the monthly frequency of choosing to telecommute of workers in dual-earner households. A pane

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Park, Yun-Sun, and Jae Bong Chang. "Measuring Beef Demand by Country of Origin and Cooking Purpose: The Multiple Discrete-Continuous Extreme Value Model Approach." Korean Agricultural Economics Association 64, no. 2 (2023): 1–19. http://dx.doi.org/10.24997/kjae.2023.64.2.1.

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There has been a steady increase in the consumption of Korean beef in recent years, with the per capita consumption of beef reaching a record high in 2022. The domestic beef market provides consumers with more choices, so traditional methods of demand analysis that rely on whole beef products are likely to become less useful. Employing the multiple discrete-continuous extreme value model (MDCEV), we analyze scanner data on consumer panels over a long period. Our findings indicate Hanwoo beef demand is less price sensitive than other beef types. Furthermore, Hanwoo beef has a relatively larger

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Enam, Annesha, Karthik C. Konduri, Abdul R. Pinjari, and Naveen Eluru. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choices." Journal of Choice Modelling 26 (March 2018): 80–100. http://dx.doi.org/10.1016/j.jocm.2017.07.003.

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Wang, Yanwen, Michael Lewis, and Vishal Singh. "Investigating the Effects of Excise Taxes, Public Usage Restrictions, and Antismoking Ads Across Cigarette Brands." Journal of Marketing 85, no. 3 (2021): 150–67. http://dx.doi.org/10.1177/0022242921994566.

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The prevalence of strong brands such as Coca-Cola, McDonald’s, Budweiser, and Marlboro in “vice” categories has important implications for regulators and consumers. While researchers in multiple disciplines have studied the effectiveness of antitobacco countermarketing strategies, little attention has been given to how brand strength may moderate the efficacy of tactics such as excise taxes, usage restrictions, and educational advertising campaigns. In this research, the authors use a multiple discrete-continuous model to study the impact of antismoking techniques on smokers’ choices of brands

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Berke, Joshua D., Jason T. Breck, and Howard Eichenbaum. "Striatal Versus Hippocampal Representations During Win-Stay Maze Performance." Journal of Neurophysiology 101, no. 3 (2009): 1575–87. http://dx.doi.org/10.1152/jn.91106.2008.

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The striatum and hippocampus are widely held to be components of distinct memory systems that can guide competing behavioral strategies. However, some electrophysiological studies have suggested that neurons in both structures encode spatial information and may therefore make similar contributions to behavior. In rats well trained to perform a win-stay radial maze task, we recorded simultaneously from dorsal hippocampus and from multiple striatal subregions, including both lateral areas implicated in motor responses to cues and medial areas that work cooperatively with hippocampus in cognitive

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9

Saxena, Shobhit, Abdul Rawoof Pinjari, Ananya Roy, and Rajesh Paleti. "Multiple discrete-continuous choice models with bounds on consumptions." Transportation Research Part A: Policy and Practice 149 (July 2021): 237–65. http://dx.doi.org/10.1016/j.tra.2021.03.016.

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Han, Sang Pil, Sungho Park, and Wonseok Oh. "Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework." MIS Quarterly 40, no. 4 (2016): 983–1008. http://dx.doi.org/10.25300/misq/2016/40.4.09.

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Castro, Marisol, Chandra R. Bhat, Ram M. Pendyala, and Sergio R. Jara-Díaz. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model." Transportation Research Part B: Methodological 46, no. 6 (2012): 729–43. http://dx.doi.org/10.1016/j.trb.2012.02.005.

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Jäggi, Boris, Claude Weis, and Kay W. Axhausen. "Stated response and multiple discrete-continuous choice models: Analyses of residuals." Journal of Choice Modelling 6 (March 2013): 44–59. http://dx.doi.org/10.1016/j.jocm.2013.04.005.

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Bhat, Chandra R. "A new flexible multiple discrete–continuous extreme value (MDCEV) choice model." Transportation Research Part B: Methodological 110 (April 2018): 261–79. http://dx.doi.org/10.1016/j.trb.2018.02.011.

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Sikder, Sujan, and Abdul Rawoof Pinjari. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models." Journal of Choice Modelling 9 (December 2013): 39–56. http://dx.doi.org/10.1016/j.jocm.2013.12.003.

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Pinjari, Abdul Rawoof. "Generalized extreme value (GEV)-based error structures for multiple discrete-continuous choice models." Transportation Research Part B: Methodological 45, no. 3 (2011): 474–89. http://dx.doi.org/10.1016/j.trb.2010.09.004.

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Bhat, Chandra R., Marisol Castro, and Mubassira Khan. "A new estimation approach for the multiple discrete–continuous probit (MDCP) choice model." Transportation Research Part B: Methodological 55 (September 2013): 1–22. http://dx.doi.org/10.1016/j.trb.2013.04.005.

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Mondal, Aupal, and Chandra R. Bhat. "A new closed form multiple discrete-continuous extreme value (MDCEV) choice model with multiple linear constraints." Transportation Research Part B: Methodological 147 (May 2021): 42–66. http://dx.doi.org/10.1016/j.trb.2021.03.005.

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Jäggi, Boris, Alexander Erath, Christoph Dobler, and Kay W. Axhausen. "Modeling Household Fleet Choice as Function of Fuel Price by Using a Multiple Discrete–Continuous Choice Model." Transportation Research Record: Journal of the Transportation Research Board 2302, no. 1 (2012): 174–83. http://dx.doi.org/10.3141/2302-19.

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Ma, Jie, Xin Ye, and Abdul Rawoof Pinjari. "Practical Method to Simulate Multiple Discrete-Continuous Generalized Extreme Value Model: Application to Examine Substitution Patterns of Household Transportation Expenditures." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (2019): 145–56. http://dx.doi.org/10.1177/0361198119842819.

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The multiple discrete-continuous generalized extreme value (MDCGEV) model has been derived from multivariate extreme value (MEV)-based stochastic specifications to relax the independence assumption in the multiple discrete-continuous extreme value (MDCEV) model. It is analogous to the situation where a generalized extreme value (GEV) model relaxes the same assumption in a multinomial logit (MNL) model. However, unlike the case of single discrete choice model where substitution patterns can be understood based on elasticity expressions for a change in the value of an explanatory variable, the M

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Chen, Qun, and Feng Shi. "Model for Microcirculation Transportation Network Design." Mathematical Problems in Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/379867.

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The idea of microcirculation transportation was proposed to shunt heavy traffic on arterial roads through branch roads. The optimization model for designing micro-circulation transportation network was developed to pick out branch roads as traffic-shunting channels and determine their required capacity, trying to minimize the total reconstruction expense and land occupancy subject to saturation and reconstruction space constraints, while accounting for the route choice behaviour of network users. Since micro-circulation transportation network design problem includes both discrete and continuou

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Branch, Trevor A. "Reply to the comment by Francis on “Differences in predicted catch composition between two widely used catch equation formulations”Appears in Can. J. Fish. Aquat. Sci. 66: 126–132." Canadian Journal of Fisheries and Aquatic Sciences 67, no. 4 (2010): 766–68. http://dx.doi.org/10.1139/f10-024.

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Francis (2010. Can. J. Fish. Aquat. Sci. 67: 763–765) writes a thoughtful response detailing concerns with my suggestion that the continuous (Baranov) catch formulation is preferable to the discrete catch formulation when fishing mortality is high (T.A. Branch. 2009. Can. J. Fish. Aquat. Sci. 66: 126–132). He suggests the discrete formulation allows for multiple gear encounters and that formulation choice should depend on which formulation better fits the data. Here I first distinguish between gear selectivity and availability and then show that our two views are complementary: the original as

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Astroza, Sebastian, Abdul Rawoof Pinjari, Chandra R. Bhat, and Sergio R. Jara-Díaz. "A Microeconomic Theory–Based Latent Class Multiple Discrete–Continuous Choice Model of Time Use and Goods Consumption." Transportation Research Record: Journal of the Transportation Research Board 2664, no. 1 (2017): 31–41. http://dx.doi.org/10.3141/2664-04.

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23

Jian, Sisi, Taha Hossein Rashidi, and Vinayak Dixit. "An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models." Transportation Research Part A: Policy and Practice 103 (September 2017): 362–76. http://dx.doi.org/10.1016/j.tra.2017.06.012.

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Van Nostrand, Caleb, Vijayaraghavan Sivaraman, and Abdul Rawoof Pinjari. "Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework." Transportation 40, no. 1 (2012): 151–71. http://dx.doi.org/10.1007/s11116-012-9397-6.

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25

Ahn, Jiwoon, Gicheol Jeong, and Yeonbae Kim. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach." Energy Economics 30, no. 5 (2008): 2091–104. http://dx.doi.org/10.1016/j.eneco.2007.10.003.

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Augustin, Bertho, Abdul R. Pinjari, Naveen Eluru, and Ram M. Pendyala. "Estimation of Annual Mileage Budgets for a Multiple Discrete-Continuous Choice Model of Household Vehicle Ownership and Utilization." Transportation Research Record: Journal of the Transportation Research Board 2493, no. 1 (2015): 126–35. http://dx.doi.org/10.3141/2493-14.

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Branch, Trevor A. "Differences in predicted catch composition between two widely used catch equation formulations." Canadian Journal of Fisheries and Aquatic Sciences 66, no. 1 (2009): 126–32. http://dx.doi.org/10.1139/f08-196.

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Fishing gear selectivity varies among different types of fish (e.g., species, age, sex, or length groups), but their relative catch composition also depends on the fishing process. The continuous (Baranov) formulation assumes that fishing mortality and natural mortality occur together during the fishing season and that there are multiple encounters between fish and fishing gear. For this formulation, predicted catch composition depends on fishing mortality, and at high fishing mortality levels the entire population can be caught provided the selectivity is nonzero for all age groups. In contra

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Makriyannis, Christos, Robert J. Johnston, and Adam W. Whelchel. "Are Choice Experiment Treatments of Outcome Uncertainty Sufficient? An Application to Climate Risk Reductions." Agricultural and Resource Economics Review 47, no. 3 (2018): 419–51. http://dx.doi.org/10.1017/age.2017.27.

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Choice experiments addressing outcome uncertainty (OU) typically reframe continuous probability densities for each risky outcome into two discrete categories, each with a single probability of occurrence. The implications of this simplification for welfare estimation are unknown. This article evaluates the convergent validity of willingness-to-pay (WTP) estimates from a more accurate multiple-outcome treatment of OU, compared to the two-outcome approach. Results for a case study of coastal flood adaptation in Connecticut, United States, suggest that higher-resolution OU treatments increase cho

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Renner, Philipp, and Karl Schmedders. "Discrete‐time dynamic principal–agent models: Contraction mapping theorem and computational treatment." Quantitative Economics 11, no. 4 (2020): 1215–51. http://dx.doi.org/10.3982/qe960.

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We consider discrete‐time dynamic principal–agent problems with continuous choice sets and potentially multiple agents. We prove the existence of a unique solution for the principal's value function only assuming continuity of the functions and compactness of the choice sets. We do this by a contraction mapping theorem and so also obtain a convergence result for the value function iteration. To numerically compute a solution for the problem, we have to solve a collection of static principal–agent problems at each iteration. As a result, in the discrete‐time setting solving the static problem i

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Zheng, Kangning, Enjian Yao, and Yongsheng Zhang. "A joint model of household time use and task assignment for elderly couples with multiple constraints." PLOS ONE 16, no. 3 (2021): e0247187. http://dx.doi.org/10.1371/journal.pone.0247187.

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Household time-use patterns are expected to reflect each household member’s daily activity participation and duration with intra-household interactions constrained by multiple budgets. Among various activities, the allocated activity derived from undertaking a household task is studied relatively less in the literature. Who will take an allocated activity is a discrete choice problem of household task assignment, and once a household member is assigned with one household task, other members will have more time to do other activities. To better understand household time-use patterns affected by

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Szkaliczki, Tibor. "Discrete Data Rate Adaptation for Wireless Body Area Networks." Applied Sciences 13, no. 14 (2023): 8529. http://dx.doi.org/10.3390/app13148529.

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eHealth services require continuous data streaming and a stable level of quality of service. However, wireless network connections can be characterized by variable bandwidths. This requires continuous adaptation of systems, including adapting the bit rates of data streamed by sensors. Assigning appropriate rates to the data represents a main task in congestion control. Most of the current methods look for proper sensor data rates within continuous domains. We examine the case when sensors can generate data streams with several different qualities (e.g., sampling rates, sampling accuracies, etc

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Wang, Xinyi, and Sung Hoo Kim. "Prediction and Factor Identification for Crash Severity: Comparison of Discrete Choice and Tree-Based Models." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 9 (2019): 640–53. http://dx.doi.org/10.1177/0361198119844456.

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Crash severity is one of the most widely studied topics in traffic safety area. Scholars have studied crash severity through various types of models. Using the publicly available 2017 Maryland crash data from the Department of Maryland State Police, the authors develop a multinomial logit (MNL) model and a random forest (RF) model, which belong to discrete choice and tree-based models, respectively, to (1) identify factors contributing to crash severity and (2) compare prediction performances and interpretation abilities between the two models. Based on the model results, major contributing fa

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Bhat, Chandra R., Aupal Mondal, Abdul Rawoof Pinjari, Shobhit Saxena, and Ram M. Pendyala. "A multiple discrete continuous extreme value choice (MDCEV) model with a linear utility profile for the outside good recognizing positive consumption constraints." Transportation Research Part B: Methodological 156 (February 2022): 28–49. http://dx.doi.org/10.1016/j.trb.2021.12.013.

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Kuriyama, Koichi, Yasushi Shoji, and Takahiro Tsuge. "The value of leisure time of weekends and long holidays: The multiple discrete–continuous extreme value (MDCEV) choice model with triple constraints." Journal of Choice Modelling 37 (December 2020): 100238. http://dx.doi.org/10.1016/j.jocm.2020.100238.

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Saxena, Shobhit, Abdul Rawoof Pinjari, and Chandra R. Bhat. "Multiple discrete-continuous choice models with additively separable utility functions and linear utility on outside good: Model properties and characterization of demand functions." Transportation Research Part B: Methodological 155 (January 2022): 526–57. http://dx.doi.org/10.1016/j.trb.2021.11.011.

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Cui, Jiarui, Shuo Yang, and Dinghui Chen. "High-Frequency Time Series Data Regression Based on the Functional Bayesian Model Averaging." Highlights in Science, Engineering and Technology 49 (May 21, 2023): 76–83. http://dx.doi.org/10.54097/hset.v49i.8449.

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Regression analysis of high-frequency time series data has been an important problem in the field of statistical learning. In this paper, we propose a novel approach based on multiple basis function expansions and Bayesian model averaging when the predictor variable is a high-frequency time series and the response variable is continuous scalar data. On the one hand, the proposed method avoids the curse of dimensionality and extracts the functional information of the original sequence by transforming the discrete data into continuous functions in a function space consisting of some fixed basis

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Юрков, В., and V. Yurkov. "Approximation of Linear Sets in the Plane." Geometry & Graphics 7, no. 3 (2019): 60–69. http://dx.doi.org/10.12737/article_5dce6cf7ae1d70.85408915.

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A few general lines in the ordinary Euclidean plane are said to be line generators of a plane linear set. To be able to say that every line of the set belongs to one-parametrical line set we have to find their envelope. We thus create a pencil of lines. In this article it will be shown that there are a finite number of pencils in one linear set. To find a pencil of lines the linear parametrical approximation is applied. Almost all of problems concerning the parametrical approximation of figure sets are well known and deeply developed for any point sets. The problem of approximation for non-poi

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Kokonendji, Célestin C., and Sobom M. Somé. "Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics." Stats 4, no. 1 (2021): 162–83. http://dx.doi.org/10.3390/stats4010013.

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Multivariate nonnegative orthant data are real vectors bounded to the left by the null vector, and they can be continuous, discrete or mixed. We first review the recent relative variability indexes for multivariate nonnegative continuous and count distributions. As a prelude, the classification of two comparable distributions having the same mean vector is done through under-, equi- and over-variability with respect to the reference distribution. Multivariate associated kernel estimators are then reviewed with new proposals that can accommodate any nonnegative orthant dataset. We focus on band

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Kocak, Salih. "Rheological Characterization of Ground Tire Rubber Modified Asphalt Binders with Parallel Plate and Concentric Cylinder Geometries." Sustainability 15, no. 4 (2023): 2880. http://dx.doi.org/10.3390/su15042880.

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Recently, scrap tire rubber-modified asphalt binders and pavements have been the preferred choice of state DOTs and parties involved due to the desirable engineering, as well as economic and environmental impacts. Rheological and mechanical properties of rubber modifications have been the main focus of researchers for the last couple of decades. This paper investigates the rutting potential, fatigue cracking resistance, and continuous performance grade (CPG) changes of waste tire rubber-modified, original, and aged asphalt binders. The CPG of asphalt binders is determined at high, intermediate

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Kudryashova, Anastasia Yu. "Development of a program for calculating additional distortions for various models of errors." T-Comm 16, no. 1 (2022): 51–58. http://dx.doi.org/10.36724/2072-8735-2022-16-1-51-58.

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When transmitting signals from a source to a receiver, their multiple transformations take place. At the same time, various types of spaces bijection in which signals are displayed allow minimizing additional distortions arising from errors in a discrete communication channel, or reducing the probability of a bit error when distortions occur in a continuous communication channel. This optimization of the choice of the bijection type is largely determined by the error model or, respectively, by the model of the acting noise, which cannot always be displayed in the form of an analytical expressi

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Calastri, Chiara, Stephane Hess, Andrew Daly, and Juan Antonio Carrasco. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary data." Transportation Research Part A: Policy and Practice 104 (October 2017): 1–20. http://dx.doi.org/10.1016/j.tra.2017.07.003.

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Hamed, Mohammad M., and Walid M. Abdelwahab. "Effect of government policies and vehicle marketing strategies on household vehicle demand and fuel consumption." Canadian Journal of Civil Engineering 23, no. 3 (1996): 587. http://dx.doi.org/10.1139/l96-867.

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The objective of this paper is to develop demand models to forecast household vehicle demand and corresponding fuel consumption in Jordan. Understanding the factors that influence household vehicle quantity holdings provides a useful tool for developing strategies aimed at curtailing the contribution of automobiles towards environmental pollution, traffic congestion, and traffic accidents in urban areas. The demand for automobile and fuel by a household is simultaneously estimated by a joint discrete and continuous choice model. A multinomial logit model is used to examine the number of vehicl

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Paparrizos, John, Paul Boniol, Themis Palpanas, Ruey S. Tsay, Aaron Elmore, and Michael J. Franklin. "Volume under the surface." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2774–87. http://dx.doi.org/10.14778/3551793.3551830.

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Anomaly detection (AD) is a fundamental task for time-series analytics with important implications for the downstream performance of many applications. In contrast to other domains where AD mainly focuses on point-based anomalies (i.e., outliers in standalone observations), AD for time series is also concerned with range-based anomalies (i.e., outliers spanning multiple observations). Nevertheless, it is common to use traditional point-based information retrieval measures, such as Precision, Recall, and F-score, to assess the quality of methods by thresholding the anomaly score to mark each po

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Zhang, Yiqi, and Changxu Wu. "Modeling the Effects of Warning Lead Time, Warning Reliability and Warning Style on Human Performance Under Connected Vehicle Settings." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 701. http://dx.doi.org/10.1177/1541931218621158.

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Deaths and injuries resulted from traffic accidents is still a major public health problem. Recent advances in connected vehicle technology support a connected driving environment in which vehicles are enabled to communicate with each other and with roadside infrastructures via Dedicated Short Range Communication (DSRC). Connected vehicle safety applications supported by this technology allow drivers to learn about the traffic situations out of their sight and ahead of time so that drivers are warned early enough to make proper responses. As the connected vehicle systems (CVS) are designed wit

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Franceschinis, Cristiano, Riccardo Scarpa, Luca Rossetto, and Mara Thiene. "Is local and organic produce less satiating? Some evidence from a field experiment." European Review of Agricultural Economics, July 11, 2022. http://dx.doi.org/10.1093/erae/jbac014.

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Abstract We investigate consumers’ preferences towards local and organic food via a framed field experiment involving revealed multiple discrete–continuous choices. Participants were endowed with a cash amount as a budget to purchase any desired quantity of different products. We modelled choices via the multiple discrete–continuous nested extreme value model. Central to our investigation is the test of the hypothesis of the constant effect of attitudes across consumption doses, which is normally an assumption invoked a priori and without testing in discrete choice analyses. Our results suppor

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Pellegrini, Andrea, Igor Sarman, and Rico Maggi. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices." Transportation, February 6, 2020. http://dx.doi.org/10.1007/s11116-020-10083-2.

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Mesaric, Raphael, Aupal Mondal, Katie Asmussen, Joseph Molloy, Chandra R. Bhat, and Kay W. Axhausen. "Impact of the COVID-19 Pandemic on Activity Time Use and Timing Behavior in Switzerland." Transportation Research Record: Journal of the Transportation Research Board, May 5, 2022, 036119812210872. http://dx.doi.org/10.1177/03611981221087233.

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This paper analyzes the impact of the COVID-19 pandemic on activity time use and timing behavior in Switzerland. The evaluation is based on mobility tracking data collected in Switzerland during the COVID-19 pandemic. The pandemic has affected how people spend their time and schedule their activities throughout the day, subsequently creating new activity patterns. Because of the rare occurrences of pandemics in the recent past, little is known about their implications on the behavioral choices of affected people. This paper analyzes these implications by applying a multiple discrete-continuous

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Daniel, Aemiro Melkamu. "Household Fuel Choice and Use: A Multiple Discrete-Continuous Framework." SSRN Electronic Journal, 2020. http://dx.doi.org/10.2139/ssrn.3562270.

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Pellegrini, Andrea, John Rose, and Riccardo Scarpa. "Multiple herbicide use in cropland: A discrete continuous model for stated choice data." Land Economics, November 11, 2021, 092520–0150. http://dx.doi.org/10.3368/le.98.2.092520-0150r1.

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Chang, Jia Jia, Zhi Jun Hu, and Changxiu Liu. "Optimal contracting with asymmetric belief and complementarity." Kybernetes, January 12, 2023. http://dx.doi.org/10.1108/k-07-2022-0946.

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Abstract:

PurposeIn this study, a dynamic contracting model is developed between a venture capitalist (VC) and an entrepreneur (EN) to explore the influence of asymmetric beliefs regarding output-relevant parameters, agency conflicts and complementarity on the VC's posterior beliefs through the EN's unobservable effort choices to influence the optimal dynamic contract.Design/methodology/approachThe authors construct the contracting model by incorporating the VC's effort, which is ignored in most studies. Using backward induction and a discrete-time approximation approach, the authors solve the continuou

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