prateek bansal
@pb4222
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Assistant Professor at NUS | Behavioural Cognitive Science (BeCoS) Lab
Singapore
Joined March 2016
Happy to announce that I would join the National University of Singapore (NUS) as an Assistant Professor in Fall 2021. I have a PhD and a Postdoc opportunity starting from Fall 2021. Please do reach out for further enquiries. #academia #singapore #phdchat #highereducation.
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Thanks for sharing our work @jfulponi.
Have you ever wondered why traffic doesn't improve even when more roads are built? A recent study made by Anupriya, Prateek Bansal and Daniel J. Graham in the Transportation Research journal dives into this "paradox". Thread 🧵
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Got a chance to share my thoughts on the future of car-sharing in Singapore at CNA's Talking Point. I mainly talk about the economics of carsharing from the consumer's perspective. #CNA #economics #carsharing #singapore.
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Please check out our new paper on a robust discrete choice model in "Statistics and Computing". Fat-tails of t-distribution make this model less sensitive to outliers: #bayesian #robustness #discretechoice #statistics.
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The recent paper that I like a lot!. A new dynamic model for crowding valuation in subway/metro. As one of the reviewers said -- a good illustration of how problem-driven statistical models can be developed. #statistics #crowding #valuation #dynamicmodels #behaviour.
Have you read this open access article? 👇🏽. "A Dynamic Choice Model to Estimate the User Cost of Crowding with Large Scale Transit Data". 🔗 1/n🧵
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How can we use vehicle location data, unsupervised machine learning, and simulation techniques to detect primary and secondary disruptions in metro systems? . #publictransport #metro #disruption #simulation #MachineLearning .
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Starting my "Neurophysiology and Behavioural Science Lab" in Civil Engineering at NUS. We have:. eye-tracker.EEG.VR headset.GSR.ECG . Is it not truly interdisciplinary? . More details are awaited. #neuroscience #behaviouralinsights #neurophysiology #Psychology
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Our new paper in Energy Economics highlights the sensitivity of Indian and Chinese car buyers relative to demand-side policies!. Main result: Demand-side policies are ineffective in reducing fuel consumption. A supply-side policy is a way forward. #energy #energytwitter.
Car buyers in China and India are insensitive to fuel prices
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How to model animal-vehicle collisions using large-scale data and find the effect of countermeasures on AVC reduction? How to account for unknown animal-vehicle encounters & seasonality?.with @KaraKockelman & co-authors .#safety #bayesian #AnimalCrossing .
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How can you mess up so much in one journey: .1. Delayed connecting flight by 24 hours.2. Delayed baggage by 48 hours.3. Serving non-vegetarian meals even after requesting vegetarian mean. Least you can do is to respond my request (FB ID: 35722376).@lufthansa @lufthansaNews.
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Can a rebate/fee on upfront price based on fuel economy be an effective fuel conservation policy in India & China? . No, we answer it by modelling vehicle choice and usage using revealed preference data:. . #China #India #environmental #BehaviorTwitter.
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Can aggregated mobility data help in predicting spread of pandemic? . Please check out our new compact matrix-based model. Studied first wave of COVID-19 infections in Italy using mobility between provinces. (preprint). #Epidemiology #covid #bigdata
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As soon as I joined a tenure track position, time seems to fly much faster during the day. #AcademicTwitter #AcademicChatter.
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Is 'building more roads' a solution to congestion?. Check out our latest preprint where we answer this question by quantifying the nature and form of congestion in urban road networks. #congestion #cities #bigdata #bayesianstatistics #machinelearning.
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E-bikes are emerging, but little is known about how to include them in design of shared sustainable mobility infrastructure. @khashayar1988. & I discuss lessons learned from lit review on e-bike LOS. #emobility #ebikes #bikes #sustainabletransport.
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We reject two myths that i) mixed logit models with inter (across individuals) and intra (across time) heterogeneity predicts consumer preferences better and ii) its MCMC estimator is superior to likelihood-based. . #mixedlogit #econtwitter #consumers.
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New preprint: .General framework to forecast the adoption of novel products (e.g., autonomous vehicles). Modelled word-of-mouth dissemination through social networks & its effect on risk preference. #MarketingTwitter #EconTwitter #AutonomousVehicles
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Compiled codes for econometric methods developed by me & collaborators: Models: discrete choice, spatial count, hidden Markov .Estimators: MLE, variational Bayes, MCMC, EM.Languages: Python, Matlab, R, Julia . #econometrics #Statistics #AcademicTwitter.
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Our new paper in the Econometric journal on Quadrature methods to approximate integrals in maximum simulated likelihood estimation . #Econometrics #Statistics #EconTwitter #integration #simulation.
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New spatial count data model to tackle temporal instability: . Integrated state-space model into spatial count data model to account for time-varying parameters. Derived fully conjugate Gibbs sampler. . #spatialstatistics #bayesianstatistics #safety.
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Once Consumers Adopt an Electric Vehicle, Do They Go Back? Some instant insights from our preliminary analysis of a unique dataset: .. #ElectricVehicle #energy #energytwitter #consumers #behaviour #environment #Sustainable
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