Maximilian Marshall

G A Learning Model for Traffic Assignment: Incorporating Bayesian Inference within the Strategic User Equilibrium Model

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Tao Wen, Kasun Wijayaratna, Lauren M Gardner, Vinayak Dixit, S Travis Waller (2015)

A Learning Model for Traffic Assignment: Incorporating
Bayesian Inference within the Strategic User Equilibrium
Model

Australasian Transport Research Forum (ATRF), 37th, 2015, Sydney, New South Wales, Australia
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Tak Incorporating Systems Science Principles into the Development of Obesity Prevention Interventions: Principles, Benefits, and Challenges

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Joel Gittelsohn, Yeeli Mui, Atif Adam, Sen Lin, Anna Kharmats, Takeru Igusa, Bruce Y Lee ( 2015 )

Incorporating Systems Science Principles into the Development
of Obesity Prevention Interventions: Principles, Benefits,
and Challenges

Current Obesity Reports
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G The Global Maritime Container Network: An Application of Conventional Transportation Modelling Techniques

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Yanni Huang, Taha Hossein Rashidi, Lauren Gardner ( 2015 )

The Global Maritime Container Network: An Application of Conventional Transportation Modelling Techniques

Conference of Australian Institutes of Transport Research (CAITR), 33rd, 2015, Melbourne, Victoria, Australia
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G Incorporating departure time choice into high-occupancy/toll (HOT) algorithm evaluation

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Stephen D Boyles, Lauren M Gardner, Hillel Bar-Gera ( 2015 )

Incorporating departure time choice into high-occupancy/toll (HOT) algorithm evaluation

21st International Symposium on Transportation and Traffic Theory
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G A Maximum Likelihood Estimation of Trip Tables for the Strategic User Equilibrium Model

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Tao Wen, Chen Cai, Lauren Gardner, Vinayak Dixit, S. Travis Waller, Fang Chen (2015)

A Maximum Likelihood Estimation of Trip Tables for the Strategic User Equilibrium Model

Proceedings of Transportation Research Board 94th Annual Meeting
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Tak Examining social norm impacts on obesity and eating behaviors among US school children based on agent-based mode

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Youfa Wang, Hong Xue, Hsin-jen Chen, Takeru Igusa ( 2014 )

Examining social norm impacts on obesity and
eating behaviors among US school children
based on agent-based model

BMC Public Health
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G A Systematic Review of the Comparative Epidemiology of Avian and Human Influenza A H5N1 and H7N9 – Lessons and Unanswered Questions

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Chuong Bui, Anna Bethmont, Abrar Ahmad Chughtai, L Gardner, S Sarkar, S Hassan, H Seale, CR MacIntyre ( 2014 )

A Systematic Review of the Comparative Epidemiology of
Avian and Human Influenza A H5N1 and H7N9 – Lessons and Unanswered Questions

Transboundary and Emerging Diseases
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G Inferring Contagion Patterns in Social Contact Networks Using a Maximum Likelihood Approach

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Gardner, L, Fajardo, D. and S.T. Waller ( 2014 )

Inferring Contagion Patterns in Social Contact Networks Using a Maximum Likelihood Approach

Natural Hazards Review. 15(3) 04014004. DOI: 10.1061/(ASCE)NH.1527-6996.0000135
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K Automated treatment planning for a dedicated multi-source intra-cranial radiosurgery treatment unit accounting for overlapping structures and dose homogeneity

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Kimia Ghobadi, Hamid R. Ghaffari, Dionne M. Aleman, David A. Jaffray, Mark Ruschin ( 2013 )

Automated treatment planning for a dedicated multi-source intra-cranial
radiosurgery treatment unit accounting for overlapping structures
and dose homogeneity

Med. Phys. 40

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A set of female individuals with the above criteria were considered. Further demographic and diet considerations (in order to select similar patients) led to selecting 11 different individuals’ one day of intake as the initial dataset for the model. In another setting, we only considered people that have consumed a reasonable amount of sodium and water. We consider these two nutrients as the main constraints in the DASH diet. 



In order to compare different potential data and their performance with the model, we used different data groups from the NHANES database. A group of middle-aged women with certain similar characteristics and a group of people with certain attributes in their diets. In the first group, we did not consider how the individual’s daily diet is reflecting on the constraints that the forward problem had and we relied on their own personal answer to questions regarding hypertension and also how prone they thought they were to type-2 diabetes. The result was a sparse set of variables and an inconclusive optimal solution in regards to the preferences. In the second group, we tried to obtain sub-optimal data. We prioritized the maximum sodium intake constraint and the water intake constraints as our main and most important constraints.