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Computational Challenges and Advances in Transportation Computing

Computational Challenges and Advances in Transportation Computing

Computational Challenges and Advances in Transportation Computing. Andres Rabinowicz Howard Slavin Jonathan Brandon Srini Sundaram Caliper Corporation May 2011. Current Computational Burdens are High and are Getting Higher.

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493 views • 42 slides
Computational Challenges and Advances in Transportation Computing

Computational Challenges and Advances in Transportation Computing

Computational Challenges and Advances in Transportation Computing. Andres Rabinowicz Howard Slavin Jonathan Brandon Srini Sundaram Caliper Corporation May 2011. Current Computational Burdens are High and are Getting Higher.

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544 views • 42 slides
11. Categorical choice and survival models

11. Categorical choice and survival models

11. Categorical choice and survival models. 11.1 Homogeneous models 11.2 Multinomial logit models with random effects 11.3 Transition (Markov) models 11.4 Survival models. 11.1 Homogeneous models. 11.1.1 Statistical inference 11.1.2 Generalized logit

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383 views • 38 slides
Tim Haab (Ohio State University) Rob Hicks (College of William and Mary)

Tim Haab (Ohio State University) Rob Hicks (College of William and Mary)

Angler Heterogeneity and Species-Specific Demand for Recreational Fishing in the Southeast United States. Tim Haab (Ohio State University) Rob Hicks (College of William and Mary) Kurt Schnier (University of Rhode Island) John Whitehead (Appalachian State University) NAAFE Forum, May 18, 2009.

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474 views • 34 slides
Discrete Choice Modeling

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Nested Logit and Multinmial Probit Models. Extended Formulation of the MNL. Clusters of similar alternatives Compound Utility: U(Alt)=U(Alt|Branch)+U(branch)

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358 views • 29 slides
Nested Logit Models

Nested Logit Models

Nested Logit Models. GEV. GEV models have the advantage that the choice probabilities usually take a closed form. The most widely used member of the GEV family is the Nested Logit. The Problem. The common error components creates a covariance between the total error for bus and LRT

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421 views • 29 slides

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