Simulation of Pedestrian Behaviour using a Discrete Choice Model Calibrated on Actual Motion Data Gianluca Antonini, Michel Bierlaire and Mats Weber Signal Processing Institute Swiss Federal Institute of Technology Lausa

Source URL: www.strc.ch

• Statistics
• Statistical models
• Mathematical analysis
• Choice modelling
• Regression analysis
• Transportation planning
• Discrete choice
• Mathematics
• Logit
• Traffic simulation
• Trip distribution
• Economic model

Induced Traffic: Review of the explanatory models Philipp Fröhlich, ETH Zürich Conference paper STRC 2003 Session Microsimulation

Source URL: www.strc.ch

• Regression analysis
• Economics
• Statistics
• Economy
• Transport economics
• Estimation theory
• Statistical models
• Causality
• Multicollinearity
• Linear regression
• Elasticity
• Econometrics

FUNDAMENTALS OF STATISTICAL CAUSALITY c A. P. Dawid 2007 RSS/EPSRC Graduate Training Programme University of Sheffield 3–7 September 2007

Source URL: www.ucl.ac.uk

• Causal inference
• Regression analysis
• Philosophy
• Probability and statistics
• Statistics
• Estimation theory
• Design of experiments
• Graphical models
• Causality
• Confounding
• Instrumental variable
• Correlation and dependence

Modelling travel time perception in transport mode choices Silvia Francesca Varotto, Università degli Studi di Trieste Aurélie Glerum, Ecole Polytechnique Fédérale de Lausanne Amanda Stathopoulos, Ecole Polytechnique

Source URL: www.strc.ch

• Transport
• Statistics
• Transportation planning
• Statistical models
• Psychometrics
• Business
• Travel
• Regression analysis
• Mode choice
• Discrete choice
• Choice modelling
• Imputation

Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005

Source URL: www.strc.ch

• Statistical models
• Regression analysis
• Choice modelling
• Discrete choice
• Mode choice
• Mixed logit
• Probability distribution
• Multinomial logistic regression
• Logistic regression
• Likelihood function
• Mixture model
• Gibbs sampling

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re

Source URL: www.isit2004.org

• Statistics
• Statistical models
• Probability
• Graphical models
• Machine learning
• Statistical theory
• Bayesian statistics
• Markov random field
• Bayesian network
• Generative model
• Factor graph
• Discriminative model

Modelling real estate development with heterogeneous agents Christof Zöllig Renner Prof. Dr. Kay W. Axhausen Institute for transport planning and systems

Source URL: www.strc.ch

• Statistics
• Simulation
• Estimation theory
• Statistical models
• Metaphor
• Scientific modeling
• Choice modelling
• Discrete choice
• UrbanSim
• Economic model
• Scientific modelling
• Regression analysis

Accounting for response behavior heterogeneity in the measurement of attitudes: an application to demand for electric vehicles Aurélie Glerum Michel Bierlaire STRC 2012

Source URL: www.strc.ch

• Psychometrics
• Statistics
• Statistical models
• Psychology
• Educational psychology
• Questionnaire construction
• Educational research
• Scale
• Discrete choice
• Latent variable
• Structural equation modeling
• Attitude

Estimation of discrete choice models: extending BIOGEME Michel Bierlaire Mamy Fetiarison STRC 2009

Source URL: www.strc.ch

• Statistics
• Statistical models
• Regression analysis
• Choice modelling
• Discrete choice
• Iterator
• Logistic regression
• Logit
• Binomial regression
• Mixed logit

Journal of Machine Learning Research2698 Submitted 03/06; Revised 09/06; PublishedSpam Filtering Using Statistical Data Compression Models Andrej Bratko

Source URL: www.jmlr.org