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You searched for subject:(Bayesian Modelling). Showing records 1 – 30 of 182 total matches.

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University of Cape Town

1. Nickless, Alecia. Regional CO₂ flux estimates for South Africa through inverse modelling.

Degree: PhD, Statistical Sciences, 2018, University of Cape Town

Bayesian inverse modelling provides a top-down technique of verifying emissions and uptake of carbon dioxide (CO₂) from both natural and anthropogenic sources. It relies on… (more)

Subjects/Keywords: Bayesian inverse modelling

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APA (6th Edition):

Nickless, A. (2018). Regional CO₂ flux estimates for South Africa through inverse modelling. (Doctoral Dissertation). University of Cape Town. Retrieved from http://hdl.handle.net/11427/29703

Chicago Manual of Style (16th Edition):

Nickless, Alecia. “Regional CO₂ flux estimates for South Africa through inverse modelling.” 2018. Doctoral Dissertation, University of Cape Town. Accessed August 13, 2020. http://hdl.handle.net/11427/29703.

MLA Handbook (7th Edition):

Nickless, Alecia. “Regional CO₂ flux estimates for South Africa through inverse modelling.” 2018. Web. 13 Aug 2020.

Vancouver:

Nickless A. Regional CO₂ flux estimates for South Africa through inverse modelling. [Internet] [Doctoral dissertation]. University of Cape Town; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/11427/29703.

Council of Science Editors:

Nickless A. Regional CO₂ flux estimates for South Africa through inverse modelling. [Doctoral Dissertation]. University of Cape Town; 2018. Available from: http://hdl.handle.net/11427/29703


Queensland University of Technology

2. Wraith, Darren. Bayesian mixture modelling for characterising environmental exposures and outcomes.

Degree: 2008, Queensland University of Technology

 Environmental exposure and outcomes assessment is a great challenge to scientists. Increasingly more and more detailed data are becoming available to understand the nature and… (more)

Subjects/Keywords: Bayesian mixture modelling; environmental exposure

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APA (6th Edition):

Wraith, D. (2008). Bayesian mixture modelling for characterising environmental exposures and outcomes. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/18467/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wraith, Darren. “Bayesian mixture modelling for characterising environmental exposures and outcomes.” 2008. Thesis, Queensland University of Technology. Accessed August 13, 2020. https://eprints.qut.edu.au/18467/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wraith, Darren. “Bayesian mixture modelling for characterising environmental exposures and outcomes.” 2008. Web. 13 Aug 2020.

Vancouver:

Wraith D. Bayesian mixture modelling for characterising environmental exposures and outcomes. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2020 Aug 13]. Available from: https://eprints.qut.edu.au/18467/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wraith D. Bayesian mixture modelling for characterising environmental exposures and outcomes. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/18467/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

3. Higgins, Cameron. Uncovering temporal structure in neural data with statistical machine learning models.

Degree: PhD, 2019, University of Oxford

 Methods for analysing neural dynamics have predominantly focussed on resting state activity, typically using unsupervised models to infer the main modes of spontaneous variation in… (more)

Subjects/Keywords: Neurosciences; Bayesian Modelling; Machine Learning

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APA (6th Edition):

Higgins, C. (2019). Uncovering temporal structure in neural data with statistical machine learning models. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:63d14863-e937-40fb-81a2-c23783edf951 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799999

Chicago Manual of Style (16th Edition):

Higgins, Cameron. “Uncovering temporal structure in neural data with statistical machine learning models.” 2019. Doctoral Dissertation, University of Oxford. Accessed August 13, 2020. http://ora.ox.ac.uk/objects/uuid:63d14863-e937-40fb-81a2-c23783edf951 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799999.

MLA Handbook (7th Edition):

Higgins, Cameron. “Uncovering temporal structure in neural data with statistical machine learning models.” 2019. Web. 13 Aug 2020.

Vancouver:

Higgins C. Uncovering temporal structure in neural data with statistical machine learning models. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2020 Aug 13]. Available from: http://ora.ox.ac.uk/objects/uuid:63d14863-e937-40fb-81a2-c23783edf951 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799999.

Council of Science Editors:

Higgins C. Uncovering temporal structure in neural data with statistical machine learning models. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:63d14863-e937-40fb-81a2-c23783edf951 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799999


Australian National University

4. Dawkins, Mark Walter. Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling .

Degree: 2017, Australian National University

Bayesian melding is extended for applications to stochastic theoretical models. Agent Based models, a class of stochastic theoretical models, are investigated and it is found… (more)

Subjects/Keywords: Bayesian Melding; Bayesian Inference; Agent Based Modelling; Simulation; Stochastic Modelling

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APA (6th Edition):

Dawkins, M. W. (2017). Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/147060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dawkins, Mark Walter. “Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling .” 2017. Thesis, Australian National University. Accessed August 13, 2020. http://hdl.handle.net/1885/147060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dawkins, Mark Walter. “Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling .” 2017. Web. 13 Aug 2020.

Vancouver:

Dawkins MW. Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling . [Internet] [Thesis]. Australian National University; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1885/147060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dawkins MW. Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modelling . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/147060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

5. Prida Guillén, Álvaro (author). Modelling of storm surge due to hurricanes in Mississippi (USA).

Degree: 2020, Delft University of Technology

 The existing hydrodynamic models consider full physics approaches to calculate storm surge at coastal regions. However, due to the complexity of the equations that model… (more)

Subjects/Keywords: Hurricanes; Surge; Delft 3D; Modelling; Bayesian Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Prida Guillén, . (. (2020). Modelling of storm surge due to hurricanes in Mississippi (USA). (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366

Chicago Manual of Style (16th Edition):

Prida Guillén, Álvaro (author). “Modelling of storm surge due to hurricanes in Mississippi (USA).” 2020. Masters Thesis, Delft University of Technology. Accessed August 13, 2020. http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366.

MLA Handbook (7th Edition):

Prida Guillén, Álvaro (author). “Modelling of storm surge due to hurricanes in Mississippi (USA).” 2020. Web. 13 Aug 2020.

Vancouver:

Prida Guillén (. Modelling of storm surge due to hurricanes in Mississippi (USA). [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2020 Aug 13]. Available from: http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366.

Council of Science Editors:

Prida Guillén (. Modelling of storm surge due to hurricanes in Mississippi (USA). [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:ee48290d-4f15-4e5b-9dfc-83feac8ac366


University of Cambridge

6. Peeling, Paul. Bayesian methods in music modelling.

Degree: PhD, 2011, University of Cambridge

 This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical… (more)

Subjects/Keywords: Music modelling; Signal processing; Bayesian methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Peeling, P. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed August 13, 2020. http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

MLA Handbook (7th Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Web. 13 Aug 2020.

Vancouver:

Peeling P. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Aug 13]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

Council of Science Editors:

Peeling P. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg


University of Adelaide

7. Webb, Michael Roy. New methodologies for modelling individual differences in cognition.

Degree: 2010, University of Adelaide

 Many evaluations of cognitive models rely on data that have been averaged or aggregated across all experimental subjects, and so fail to consider the possibility… (more)

Subjects/Keywords: cognitive models; individual differences; Bayesian graphical modelling

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APA (6th Edition):

Webb, M. R. (2010). New methodologies for modelling individual differences in cognition. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/62779

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Thesis, University of Adelaide. Accessed August 13, 2020. http://hdl.handle.net/2440/62779.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Webb, Michael Roy. “New methodologies for modelling individual differences in cognition.” 2010. Web. 13 Aug 2020.

Vancouver:

Webb MR. New methodologies for modelling individual differences in cognition. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2440/62779.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Webb MR. New methodologies for modelling individual differences in cognition. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/62779

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Bath

8. Brady, Aoibheann. Attribution of large-scale drivers for environmental change.

Degree: PhD, 2020, University of Bath

 In this thesis, spatial multilevel models are developed within a causal framework for the attribution of long-term changes in environmental studies to large-scale drivers of… (more)

Subjects/Keywords: spatial statistics; climate change; Bayesian modelling

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APA (6th Edition):

Brady, A. (2020). Attribution of large-scale drivers for environmental change. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/attribution-of-largescale-drivers-for-environmental-change(2b985ab5-d62d-4c5e-9c4a-60294a4b8fbc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801378

Chicago Manual of Style (16th Edition):

Brady, Aoibheann. “Attribution of large-scale drivers for environmental change.” 2020. Doctoral Dissertation, University of Bath. Accessed August 13, 2020. https://researchportal.bath.ac.uk/en/studentthesis/attribution-of-largescale-drivers-for-environmental-change(2b985ab5-d62d-4c5e-9c4a-60294a4b8fbc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801378.

MLA Handbook (7th Edition):

Brady, Aoibheann. “Attribution of large-scale drivers for environmental change.” 2020. Web. 13 Aug 2020.

Vancouver:

Brady A. Attribution of large-scale drivers for environmental change. [Internet] [Doctoral dissertation]. University of Bath; 2020. [cited 2020 Aug 13]. Available from: https://researchportal.bath.ac.uk/en/studentthesis/attribution-of-largescale-drivers-for-environmental-change(2b985ab5-d62d-4c5e-9c4a-60294a4b8fbc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801378.

Council of Science Editors:

Brady A. Attribution of large-scale drivers for environmental change. [Doctoral Dissertation]. University of Bath; 2020. Available from: https://researchportal.bath.ac.uk/en/studentthesis/attribution-of-largescale-drivers-for-environmental-change(2b985ab5-d62d-4c5e-9c4a-60294a4b8fbc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801378


University of Adelaide

9. Conway, Dennis. Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning.

Degree: 2018, University of Adelaide

 This thesis presents advancements to the area of magnetotelluric (MT) modelling. There are three main aims to this work. The first aim is to implement… (more)

Subjects/Keywords: Magnetotellurics; machine learning; Bayesian statistics; modelling; geophysics

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APA (6th Edition):

Conway, D. (2018). Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/120299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Conway, Dennis. “Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning.” 2018. Thesis, University of Adelaide. Accessed August 13, 2020. http://hdl.handle.net/2440/120299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Conway, Dennis. “Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning.” 2018. Web. 13 Aug 2020.

Vancouver:

Conway D. Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning. [Internet] [Thesis]. University of Adelaide; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2440/120299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Conway D. Advances in Magnetotelluric Modelling: Time-Lapse Inversion, Bayesian Inversion and Machine Learning. [Thesis]. University of Adelaide; 2018. Available from: http://hdl.handle.net/2440/120299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Adelaide

10. Walker, James. Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models.

Degree: 2019, University of Adelaide

 Emerging infectious diseases are an ongoing threat to the health of populations around the world. In response, countries such as the USA, UK and Australia,… (more)

Subjects/Keywords: Epidemiology; Bayesian Inference; Model Selection; Stochastic Modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Walker, J. (2019). Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/124703

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Walker, James. “Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models.” 2019. Thesis, University of Adelaide. Accessed August 13, 2020. http://hdl.handle.net/2440/124703.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Walker, James. “Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models.” 2019. Web. 13 Aug 2020.

Vancouver:

Walker J. Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2440/124703.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Walker J. Bayesian Inference and Model Selection for Partially-Observed, Continuous-Time, Stochastic Epidemic Models. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/124703

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas State University – San Marcos

11. Sotola, Vaclav Alexei. Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms.

Degree: PhD, Aquatic Resources and Integrative Biology, 2020, Texas State University – San Marcos

 Historical and contemporary environmental conditions affect the distribution of aquatic species. The following three chapters seek to assess the degree to which conditions have impacted… (more)

Subjects/Keywords: Hybridization; Biogeography; Mark-recapture; Bayesian modelling

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APA (6th Edition):

Sotola, V. A. (2020). Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms. (Doctoral Dissertation). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/9681

Chicago Manual of Style (16th Edition):

Sotola, Vaclav Alexei. “Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms.” 2020. Doctoral Dissertation, Texas State University – San Marcos. Accessed August 13, 2020. https://digital.library.txstate.edu/handle/10877/9681.

MLA Handbook (7th Edition):

Sotola, Vaclav Alexei. “Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms.” 2020. Web. 13 Aug 2020.

Vancouver:

Sotola VA. Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms. [Internet] [Doctoral dissertation]. Texas State University – San Marcos; 2020. [cited 2020 Aug 13]. Available from: https://digital.library.txstate.edu/handle/10877/9681.

Council of Science Editors:

Sotola VA. Influences of Historical and Contemporary Environmental Conditions on Threatened and Endemic Aquatic Organisms. [Doctoral Dissertation]. Texas State University – San Marcos; 2020. Available from: https://digital.library.txstate.edu/handle/10877/9681


University of Cambridge

12. Peeling, Paul Halliday. Bayesian methods in music modelling.

Degree: PhD, 2011, University of Cambridge

 This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical… (more)

Subjects/Keywords: 780; Music modelling; Signal processing; Bayesian methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Peeling, P. H. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

Chicago Manual of Style (16th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed August 13, 2020. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 13 Aug 2020.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Aug 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

Peeling PH. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860


Queensland University of Technology

13. Thamrin, Sri Astuti. Bayesian survival analysis using gene expression.

Degree: 2013, Queensland University of Technology

 This thesis developed and applied Bayesian models for the analysis of survival data. The gene expression was considered as explanatory variables within the Bayesian survival… (more)

Subjects/Keywords: Bayesian Modelling; Survival Analysis; Weibull Distribution; Bayesian Model Averaging; Gene Expression

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APA (6th Edition):

Thamrin, S. A. (2013). Bayesian survival analysis using gene expression. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/62666/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thamrin, Sri Astuti. “Bayesian survival analysis using gene expression.” 2013. Thesis, Queensland University of Technology. Accessed August 13, 2020. https://eprints.qut.edu.au/62666/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thamrin, Sri Astuti. “Bayesian survival analysis using gene expression.” 2013. Web. 13 Aug 2020.

Vancouver:

Thamrin SA. Bayesian survival analysis using gene expression. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2020 Aug 13]. Available from: https://eprints.qut.edu.au/62666/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thamrin SA. Bayesian survival analysis using gene expression. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/62666/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tasmania

14. Daily, HG. Development of pasture growth models for grassland fire danger risk assessment.

Degree: 2012, University of Tasmania

 Assessment of grassland curing (the proportion of dead to total material in a grassland fuel complex) is of great importance to fire authorities, which use… (more)

Subjects/Keywords: grassfire; grass curing; fire danger rating; plant growth modelling; Bayesian modelling

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APA (6th Edition):

Daily, H. (2012). Development of pasture growth models for grassland fire danger risk assessment. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/15906/1/front-daily-2012.pdf ; https://eprints.utas.edu.au/15906/2/whole-daily-2012.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daily, HG. “Development of pasture growth models for grassland fire danger risk assessment.” 2012. Thesis, University of Tasmania. Accessed August 13, 2020. https://eprints.utas.edu.au/15906/1/front-daily-2012.pdf ; https://eprints.utas.edu.au/15906/2/whole-daily-2012.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daily, HG. “Development of pasture growth models for grassland fire danger risk assessment.” 2012. Web. 13 Aug 2020.

Vancouver:

Daily H. Development of pasture growth models for grassland fire danger risk assessment. [Internet] [Thesis]. University of Tasmania; 2012. [cited 2020 Aug 13]. Available from: https://eprints.utas.edu.au/15906/1/front-daily-2012.pdf ; https://eprints.utas.edu.au/15906/2/whole-daily-2012.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daily H. Development of pasture growth models for grassland fire danger risk assessment. [Thesis]. University of Tasmania; 2012. Available from: https://eprints.utas.edu.au/15906/1/front-daily-2012.pdf ; https://eprints.utas.edu.au/15906/2/whole-daily-2012.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Karanevich, Alex George. Novel Statistical Methodology Development and Applications in ALS Research.

Degree: PhD, Biostatistics, 2017, University of Kansas

 Being able to predict, with accuracy, the disease progression of patients with a given disease is extremely useful from the perspectives of clinicians, patients, and… (more)

Subjects/Keywords: Biostatistics; ALS; ALSFRS; anchor; bayesian modelling; predictive modelling; regression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Karanevich, A. G. (2017). Novel Statistical Methodology Development and Applications in ALS Research. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/27027

Chicago Manual of Style (16th Edition):

Karanevich, Alex George. “Novel Statistical Methodology Development and Applications in ALS Research.” 2017. Doctoral Dissertation, University of Kansas. Accessed August 13, 2020. http://hdl.handle.net/1808/27027.

MLA Handbook (7th Edition):

Karanevich, Alex George. “Novel Statistical Methodology Development and Applications in ALS Research.” 2017. Web. 13 Aug 2020.

Vancouver:

Karanevich AG. Novel Statistical Methodology Development and Applications in ALS Research. [Internet] [Doctoral dissertation]. University of Kansas; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1808/27027.

Council of Science Editors:

Karanevich AG. Novel Statistical Methodology Development and Applications in ALS Research. [Doctoral Dissertation]. University of Kansas; 2017. Available from: http://hdl.handle.net/1808/27027


Lincoln University

16. Wangen, Steven. Simulating the spread of Hieracium lepidulum in heterogeneous landscapes.

Degree: 2012, Lincoln University

 The invasion of non-indigenous species represents a severe threat to the health of native communities world-wide. In order for us to be effective and efficient… (more)

Subjects/Keywords: invasion; simulation; dispersal; Hieracium lepidulum; Bayesian hierarchical modelling; matrix population modelling; demography; invasive spread

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wangen, S. (2012). Simulating the spread of Hieracium lepidulum in heterogeneous landscapes. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/5742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wangen, Steven. “Simulating the spread of Hieracium lepidulum in heterogeneous landscapes.” 2012. Thesis, Lincoln University. Accessed August 13, 2020. http://hdl.handle.net/10182/5742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wangen, Steven. “Simulating the spread of Hieracium lepidulum in heterogeneous landscapes.” 2012. Web. 13 Aug 2020.

Vancouver:

Wangen S. Simulating the spread of Hieracium lepidulum in heterogeneous landscapes. [Internet] [Thesis]. Lincoln University; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10182/5742.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wangen S. Simulating the spread of Hieracium lepidulum in heterogeneous landscapes. [Thesis]. Lincoln University; 2012. Available from: http://hdl.handle.net/10182/5742

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

17. Hadida, Jonathan. Simulating brain resting-state activity : what matters?.

Degree: PhD, 2018, University of Oxford

 In the field of computational neuroscience, large-scale biophysical modelling is a bottom-up approach to study the interaction between brain structure and function. In this thesis,… (more)

Subjects/Keywords: Structure-function; Computational neuroscience; Computational modelling; Biophysical modelling; Complexity science; Bayesian optimisation; Neuroscience

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hadida, J. (2018). Simulating brain resting-state activity : what matters?. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414

Chicago Manual of Style (16th Edition):

Hadida, Jonathan. “Simulating brain resting-state activity : what matters?.” 2018. Doctoral Dissertation, University of Oxford. Accessed August 13, 2020. http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414.

MLA Handbook (7th Edition):

Hadida, Jonathan. “Simulating brain resting-state activity : what matters?.” 2018. Web. 13 Aug 2020.

Vancouver:

Hadida J. Simulating brain resting-state activity : what matters?. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Aug 13]. Available from: http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414.

Council of Science Editors:

Hadida J. Simulating brain resting-state activity : what matters?. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:5abd962a-b798-4530-947a-24eeafd568f3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780414


University of Toronto

18. Shimoda, Yuko. Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management.

Degree: PhD, 2015, University of Toronto

 Environmental modelling has been an indispensable tool for addressing water quality problems in freshwater ecosystems. A variety of data-oriented and process-based models have been used… (more)

Subjects/Keywords: Allometric theory; Bayesian Hierarchical Modelling; Cyanobacteria; Ecological diversity; Phytoplankton Functional Group Modelling; Total Phosphorus; 0366

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APA (6th Edition):

Shimoda, Y. (2015). Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/71333

Chicago Manual of Style (16th Edition):

Shimoda, Yuko. “Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management.” 2015. Doctoral Dissertation, University of Toronto. Accessed August 13, 2020. http://hdl.handle.net/1807/71333.

MLA Handbook (7th Edition):

Shimoda, Yuko. “Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management.” 2015. Web. 13 Aug 2020.

Vancouver:

Shimoda Y. Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management. [Internet] [Doctoral dissertation]. University of Toronto; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1807/71333.

Council of Science Editors:

Shimoda Y. Integration of Novel Mathematical and Statistical Techniques to Support Model-based Water Quality Management. [Doctoral Dissertation]. University of Toronto; 2015. Available from: http://hdl.handle.net/1807/71333


University of Newcastle

19. Cassey, Peter James. Using Bayesian frameworks to explore simple cognition.

Degree: PhD, 2015, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

In this thesis I explore simple cognition from two perspectives, both using Bayesian approaches. Firstly, the statistical benefits… (more)

Subjects/Keywords: cognition; Bayesian; cognitive modelling; decision making; thesis by publication

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cassey, P. J. (2015). Using Bayesian frameworks to explore simple cognition. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1310125

Chicago Manual of Style (16th Edition):

Cassey, Peter James. “Using Bayesian frameworks to explore simple cognition.” 2015. Doctoral Dissertation, University of Newcastle. Accessed August 13, 2020. http://hdl.handle.net/1959.13/1310125.

MLA Handbook (7th Edition):

Cassey, Peter James. “Using Bayesian frameworks to explore simple cognition.” 2015. Web. 13 Aug 2020.

Vancouver:

Cassey PJ. Using Bayesian frameworks to explore simple cognition. [Internet] [Doctoral dissertation]. University of Newcastle; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1959.13/1310125.

Council of Science Editors:

Cassey PJ. Using Bayesian frameworks to explore simple cognition. [Doctoral Dissertation]. University of Newcastle; 2015. Available from: http://hdl.handle.net/1959.13/1310125


Queensland University of Technology

20. Larue, Gregoire Sébastien. Predicting effects of monotony on driver’s vigilance.

Degree: 2010, Queensland University of Technology

 Monotony has been identified as a contributing factor to road crashes. Drivers’ ability to react to unpredictable events deteriorates when exposed to highly predictable and… (more)

Subjects/Keywords: impaired driving; monotony; vigilance; prediction; Bayesian modelling; neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Larue, G. S. (2010). Predicting effects of monotony on driver’s vigilance. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/37304/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Larue, Gregoire Sébastien. “Predicting effects of monotony on driver’s vigilance.” 2010. Thesis, Queensland University of Technology. Accessed August 13, 2020. https://eprints.qut.edu.au/37304/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Larue, Gregoire Sébastien. “Predicting effects of monotony on driver’s vigilance.” 2010. Web. 13 Aug 2020.

Vancouver:

Larue GS. Predicting effects of monotony on driver’s vigilance. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Aug 13]. Available from: https://eprints.qut.edu.au/37304/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Larue GS. Predicting effects of monotony on driver’s vigilance. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/37304/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Miami

21. Wang, Shitao. The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting.

Degree: PhD, Meteorology and Physical Oceanography (Marine), 2017, University of Miami

 Quantifying uncertainties in ocean current forecasts is an important component of formulating a response to an oil spill, e.g. to compute the anticipated oil trajectories.… (more)

Subjects/Keywords: Uncertainty Quantification; Bayesian Inference; Ocean Modelling; Sensitivity Analysis; Predictability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, S. (2017). The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1931

Chicago Manual of Style (16th Edition):

Wang, Shitao. “The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting.” 2017. Doctoral Dissertation, University of Miami. Accessed August 13, 2020. https://scholarlyrepository.miami.edu/oa_dissertations/1931.

MLA Handbook (7th Edition):

Wang, Shitao. “The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting.” 2017. Web. 13 Aug 2020.

Vancouver:

Wang S. The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting. [Internet] [Doctoral dissertation]. University of Miami; 2017. [cited 2020 Aug 13]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1931.

Council of Science Editors:

Wang S. The Application of Uncertainty Quantification Techniques and Information Theory to Oil Spill and Ocean Forecasting. [Doctoral Dissertation]. University of Miami; 2017. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1931


University of Cambridge

22. Arnol, Damien. Statistical Methods for the Analysis of Contextual Gene Expression Data.

Degree: PhD, 2019, University of Cambridge

 Technological advances have enabled profiling gene expression variability, both at the RNA and the protein level, with ever increasing throughput. In addition, miniaturisation has enabled… (more)

Subjects/Keywords: Gaussian Processes; Factor Analysis; Gene Expression; Machine Learning; Bayesian Modelling

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APA (6th Edition):

Arnol, D. (2019). Statistical Methods for the Analysis of Contextual Gene Expression Data. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/290262

Chicago Manual of Style (16th Edition):

Arnol, Damien. “Statistical Methods for the Analysis of Contextual Gene Expression Data.” 2019. Doctoral Dissertation, University of Cambridge. Accessed August 13, 2020. https://www.repository.cam.ac.uk/handle/1810/290262.

MLA Handbook (7th Edition):

Arnol, Damien. “Statistical Methods for the Analysis of Contextual Gene Expression Data.” 2019. Web. 13 Aug 2020.

Vancouver:

Arnol D. Statistical Methods for the Analysis of Contextual Gene Expression Data. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Aug 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/290262.

Council of Science Editors:

Arnol D. Statistical Methods for the Analysis of Contextual Gene Expression Data. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/290262


University of Cambridge

23. Godding, David. Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic.

Degree: PhD, 2019, University of Cambridge

 Cassava Brown Streak disease (CBSD) is a viral disease of cassava that causes necrosis of the edible root tissue, which reduces both consumable and marketable… (more)

Subjects/Keywords: Cassava brown streak disease; Epidemiology; Modelling; Statistics; Bayesian; Mathematical biology

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APA (6th Edition):

Godding, D. (2019). Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/290972

Chicago Manual of Style (16th Edition):

Godding, David. “Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic.” 2019. Doctoral Dissertation, University of Cambridge. Accessed August 13, 2020. https://www.repository.cam.ac.uk/handle/1810/290972.

MLA Handbook (7th Edition):

Godding, David. “Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic.” 2019. Web. 13 Aug 2020.

Vancouver:

Godding D. Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Aug 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/290972.

Council of Science Editors:

Godding D. Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/290972


University of Cambridge

24. Xin Chen, Hilario Lorenzo. Modelling Resources in simulation Engineering Design Processes.

Degree: PhD, 2017, University of Cambridge

 The planning and scheduling of appropriate resources is essential in engineering design for delivering quality products on time, within cost and at acceptable risk. There… (more)

Subjects/Keywords: resource management; engineering design process modelling; product development; bayesian network

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APA (6th Edition):

Xin Chen, H. L. (2017). Modelling Resources in simulation Engineering Design Processes. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269709

Chicago Manual of Style (16th Edition):

Xin Chen, Hilario Lorenzo. “Modelling Resources in simulation Engineering Design Processes.” 2017. Doctoral Dissertation, University of Cambridge. Accessed August 13, 2020. https://www.repository.cam.ac.uk/handle/1810/269709.

MLA Handbook (7th Edition):

Xin Chen, Hilario Lorenzo. “Modelling Resources in simulation Engineering Design Processes.” 2017. Web. 13 Aug 2020.

Vancouver:

Xin Chen HL. Modelling Resources in simulation Engineering Design Processes. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2020 Aug 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/269709.

Council of Science Editors:

Xin Chen HL. Modelling Resources in simulation Engineering Design Processes. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269709

25. Hosa, Aleksandra Maria. Modelling porosity and permeability in early cemented carbonates.

Degree: PhD, 2016, University of Edinburgh

 Cabonate-hosted hydrocarbon reservoirs will play an increasingly important role in the energy supply, as 60% of the world's remaining hydrocarbon resources are trapped within carbonate… (more)

Subjects/Keywords: 552; carbonates; porosity; permeability; Lattice Boltzmann; rock modelling; Bayesian calibration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hosa, A. M. (2016). Modelling porosity and permeability in early cemented carbonates. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/16181

Chicago Manual of Style (16th Edition):

Hosa, Aleksandra Maria. “Modelling porosity and permeability in early cemented carbonates.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed August 13, 2020. http://hdl.handle.net/1842/16181.

MLA Handbook (7th Edition):

Hosa, Aleksandra Maria. “Modelling porosity and permeability in early cemented carbonates.” 2016. Web. 13 Aug 2020.

Vancouver:

Hosa AM. Modelling porosity and permeability in early cemented carbonates. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1842/16181.

Council of Science Editors:

Hosa AM. Modelling porosity and permeability in early cemented carbonates. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/16181


University of Adelaide

26. Penfold, Jessica. Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia.

Degree: 2019, University of Adelaide

 Influenza-like illness exhibits a strong seasonal cycle in temperate climates, with a peak of varying intensity appearing each winter. However, the driving force of this… (more)

Subjects/Keywords: Influenza-like illness; epidemic modelling; approximate Bayesian computation; random forests

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APA (6th Edition):

Penfold, J. (2019). Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/121360

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Penfold, Jessica. “Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia.” 2019. Thesis, University of Adelaide. Accessed August 13, 2020. http://hdl.handle.net/2440/121360.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Penfold, Jessica. “Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia.” 2019. Web. 13 Aug 2020.

Vancouver:

Penfold J. Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2440/121360.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Penfold J. Using approximate Bayesian computation and machine learning model selection techniques to understand the impact of climate on seasonal influenza-like illness in Australia. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/121360

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Australian National University

27. Lim, Kar Wai. Nonparametric Bayesian Topic Modelling with Auxiliary Data .

Degree: 2016, Australian National University

 The intent of this dissertation in computer science is to study topic models for text analytics. The first objective of this dissertation is to incorporate… (more)

Subjects/Keywords: Bayesian nonparametric; topic modelling; hierarchical Pitman-Yor process

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APA (6th Edition):

Lim, K. W. (2016). Nonparametric Bayesian Topic Modelling with Auxiliary Data . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/107151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lim, Kar Wai. “Nonparametric Bayesian Topic Modelling with Auxiliary Data .” 2016. Thesis, Australian National University. Accessed August 13, 2020. http://hdl.handle.net/1885/107151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lim, Kar Wai. “Nonparametric Bayesian Topic Modelling with Auxiliary Data .” 2016. Web. 13 Aug 2020.

Vancouver:

Lim KW. Nonparametric Bayesian Topic Modelling with Auxiliary Data . [Internet] [Thesis]. Australian National University; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1885/107151.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lim KW. Nonparametric Bayesian Topic Modelling with Auxiliary Data . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/107151

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

28. Keemink, Wessel (author). Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market.

Degree: 2018, Delft University of Technology

 This thesis focuses on the combination of agent based modelling and Bayesian network. These techniques are used to see if this is a viable way… (more)

Subjects/Keywords: Agent-Based Modelling; Bayesian Network; Heat pumps; Green investments

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APA (6th Edition):

Keemink, W. (. (2018). Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:71bbbc7f-8c6b-42b6-a423-87bc78b28b45

Chicago Manual of Style (16th Edition):

Keemink, Wessel (author). “Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market.” 2018. Masters Thesis, Delft University of Technology. Accessed August 13, 2020. http://resolver.tudelft.nl/uuid:71bbbc7f-8c6b-42b6-a423-87bc78b28b45.

MLA Handbook (7th Edition):

Keemink, Wessel (author). “Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market.” 2018. Web. 13 Aug 2020.

Vancouver:

Keemink W(. Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Aug 13]. Available from: http://resolver.tudelft.nl/uuid:71bbbc7f-8c6b-42b6-a423-87bc78b28b45.

Council of Science Editors:

Keemink W(. Investing in a changing world: The combination of ABM and Bayesian network tested in the Dutch heat pump market. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:71bbbc7f-8c6b-42b6-a423-87bc78b28b45


Delft University of Technology

29. Blauw, Alexander (author). Bayesian Additive Regression Trees for data-driven RANS turbulence modelling.

Degree: 2019, Delft University of Technology

 Turbulent flows are commonly encountered in scientific research or engineering applications and need simulations to be resolved. The Navier-Stokes equations govern the simulations of turbulent… (more)

Subjects/Keywords: Uncertainty Quantification; Bayesian Additive Regression Trees; Turbulence Modelling; Machine Learning

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APA (6th Edition):

Blauw, A. (. (2019). Bayesian Additive Regression Trees for data-driven RANS turbulence modelling. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5d1732be-11c8-4e6d-8fe9-870f9418531a

Chicago Manual of Style (16th Edition):

Blauw, Alexander (author). “Bayesian Additive Regression Trees for data-driven RANS turbulence modelling.” 2019. Masters Thesis, Delft University of Technology. Accessed August 13, 2020. http://resolver.tudelft.nl/uuid:5d1732be-11c8-4e6d-8fe9-870f9418531a.

MLA Handbook (7th Edition):

Blauw, Alexander (author). “Bayesian Additive Regression Trees for data-driven RANS turbulence modelling.” 2019. Web. 13 Aug 2020.

Vancouver:

Blauw A(. Bayesian Additive Regression Trees for data-driven RANS turbulence modelling. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 13]. Available from: http://resolver.tudelft.nl/uuid:5d1732be-11c8-4e6d-8fe9-870f9418531a.

Council of Science Editors:

Blauw A(. Bayesian Additive Regression Trees for data-driven RANS turbulence modelling. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5d1732be-11c8-4e6d-8fe9-870f9418531a

30. Ramin, Maryam. Towards a Structural and Methodological Improvement of Eutrophication Modelling.

Degree: 2013, University of Toronto

The credibility of the scientific methodology of mathematical models and their adequacy to form the basis of public policy decisions has frequently been challenged. Skeptical… (more)

Subjects/Keywords: Eutrophication Modelling; Bayesian; 0768

…approach to modelling that focuses on the integration of Bayesian inference techniques with… …CHAPTER 2: INTEGRATION OF MATHEMATICAL MODELLING AND BAYESIAN INFERENCE FOR SETTING WATER… …modelling has advanced without the healthy dose of criticism required to obtain good science… …to the critical views of mathematical modelling as a scientific endeavor, it cannot be… …modelling community has not reached a consensus yet about the methodological protocol needed to… 

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APA (6th Edition):

Ramin, M. (2013). Towards a Structural and Methodological Improvement of Eutrophication Modelling. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/35934

Chicago Manual of Style (16th Edition):

Ramin, Maryam. “Towards a Structural and Methodological Improvement of Eutrophication Modelling.” 2013. Doctoral Dissertation, University of Toronto. Accessed August 13, 2020. http://hdl.handle.net/1807/35934.

MLA Handbook (7th Edition):

Ramin, Maryam. “Towards a Structural and Methodological Improvement of Eutrophication Modelling.” 2013. Web. 13 Aug 2020.

Vancouver:

Ramin M. Towards a Structural and Methodological Improvement of Eutrophication Modelling. [Internet] [Doctoral dissertation]. University of Toronto; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1807/35934.

Council of Science Editors:

Ramin M. Towards a Structural and Methodological Improvement of Eutrophication Modelling. [Doctoral Dissertation]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/35934

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