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You searched for subject:(Prediction theory). Showing records 1 – 30 of 225 total matches.

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Oregon State University

1. Lejeune, Michel, 1944-. A maximum likelihood approach to prediction with applications to binomial and Poisson populations.

Degree: PhD, Statistics, 1974, Oregon State University

 Given a sample from a population whose distribution belongs to a parametric family we would like to make predictions on the outcome of a statistic… (more)

Subjects/Keywords: Prediction theory

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APA (6th Edition):

Lejeune, Michel, 1. (1974). A maximum likelihood approach to prediction with applications to binomial and Poisson populations. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44148

Chicago Manual of Style (16th Edition):

Lejeune, Michel, 1944-. “A maximum likelihood approach to prediction with applications to binomial and Poisson populations.” 1974. Doctoral Dissertation, Oregon State University. Accessed January 23, 2021. http://hdl.handle.net/1957/44148.

MLA Handbook (7th Edition):

Lejeune, Michel, 1944-. “A maximum likelihood approach to prediction with applications to binomial and Poisson populations.” 1974. Web. 23 Jan 2021.

Vancouver:

Lejeune, Michel 1. A maximum likelihood approach to prediction with applications to binomial and Poisson populations. [Internet] [Doctoral dissertation]. Oregon State University; 1974. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/1957/44148.

Council of Science Editors:

Lejeune, Michel 1. A maximum likelihood approach to prediction with applications to binomial and Poisson populations. [Doctoral Dissertation]. Oregon State University; 1974. Available from: http://hdl.handle.net/1957/44148


Oregon State University

2. Olsen, Dale Edward. Statistical prediction intervals.

Degree: PhD, Statistics, 1973, Oregon State University

 In many statistical applications an interval is needed that will contain the values of all J future observations with some preassigned probability. For example, suppose… (more)

Subjects/Keywords: Prediction theory

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APA (6th Edition):

Olsen, D. E. (1973). Statistical prediction intervals. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44403

Chicago Manual of Style (16th Edition):

Olsen, Dale Edward. “Statistical prediction intervals.” 1973. Doctoral Dissertation, Oregon State University. Accessed January 23, 2021. http://hdl.handle.net/1957/44403.

MLA Handbook (7th Edition):

Olsen, Dale Edward. “Statistical prediction intervals.” 1973. Web. 23 Jan 2021.

Vancouver:

Olsen DE. Statistical prediction intervals. [Internet] [Doctoral dissertation]. Oregon State University; 1973. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/1957/44403.

Council of Science Editors:

Olsen DE. Statistical prediction intervals. [Doctoral Dissertation]. Oregon State University; 1973. Available from: http://hdl.handle.net/1957/44403


Rutgers University

3. Sharber, Justin, 1983-. The predictive focus account of the principle of simplicity.

Degree: PhD, Philosophy, 2014, Rutgers University

This dissertation presents an account of the Principle of Simplicity, a prominent idea in the philosophy of science. The principle states that when a simple… (more)

Subjects/Keywords: Simplicity (Philosophy); Prediction theory

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APA (6th Edition):

Sharber, Justin, 1. (2014). The predictive focus account of the principle of simplicity. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45460/

Chicago Manual of Style (16th Edition):

Sharber, Justin, 1983-. “The predictive focus account of the principle of simplicity.” 2014. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/45460/.

MLA Handbook (7th Edition):

Sharber, Justin, 1983-. “The predictive focus account of the principle of simplicity.” 2014. Web. 23 Jan 2021.

Vancouver:

Sharber, Justin 1. The predictive focus account of the principle of simplicity. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45460/.

Council of Science Editors:

Sharber, Justin 1. The predictive focus account of the principle of simplicity. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45460/


Rutgers University

4. Chang, Kun. Topics in compositional, seasonal and spatial-temporal time series.

Degree: PhD, Statistics and Biostatistics, 2015, Rutgers University

This dissertation studies several topics in time series modeling. The discussion on seasonal time series, compositional time series and spatial-temporal time series brings new insight… (more)

Subjects/Keywords: Time-series analysis; Prediction theory

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APA (6th Edition):

Chang, K. (2015). Topics in compositional, seasonal and spatial-temporal time series. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48411/

Chicago Manual of Style (16th Edition):

Chang, Kun. “Topics in compositional, seasonal and spatial-temporal time series.” 2015. Doctoral Dissertation, Rutgers University. Accessed January 23, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/48411/.

MLA Handbook (7th Edition):

Chang, Kun. “Topics in compositional, seasonal and spatial-temporal time series.” 2015. Web. 23 Jan 2021.

Vancouver:

Chang K. Topics in compositional, seasonal and spatial-temporal time series. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Jan 23]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48411/.

Council of Science Editors:

Chang K. Topics in compositional, seasonal and spatial-temporal time series. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48411/


University of New South Wales

5. Tan, Wai Hong. Predicting the popularity of tweets using the theory of point processes.

Degree: Mathematics & Statistics, 2019, University of New South Wales

 This thesis focuses on the problem of predicting the tweet popularity, or the number of retweets stemming from an original tweet. We propose several prediction(more)

Subjects/Keywords: Prediction methodologies; Tweet popularity; Point processes theory

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APA (6th Edition):

Tan, W. H. (2019). Predicting the popularity of tweets using the theory of point processes. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/64234 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61732/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Tan, Wai Hong. “Predicting the popularity of tweets using the theory of point processes.” 2019. Doctoral Dissertation, University of New South Wales. Accessed January 23, 2021. http://handle.unsw.edu.au/1959.4/64234 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61732/SOURCE02?view=true.

MLA Handbook (7th Edition):

Tan, Wai Hong. “Predicting the popularity of tweets using the theory of point processes.” 2019. Web. 23 Jan 2021.

Vancouver:

Tan WH. Predicting the popularity of tweets using the theory of point processes. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Jan 23]. Available from: http://handle.unsw.edu.au/1959.4/64234 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61732/SOURCE02?view=true.

Council of Science Editors:

Tan WH. Predicting the popularity of tweets using the theory of point processes. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/64234 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61732/SOURCE02?view=true


University of Saskatchewan

6. Greschner, Michael. Prediction of structures and properties of high-pressure solid materials using first principles methods.

Degree: 2016, University of Saskatchewan

 The purpose of the research contained in this thesis is to allow for the prediction of new structures and properties of crystalline structures due to… (more)

Subjects/Keywords: Condensed matter theory; First principles calculations; Structure prediction; Density functional theory

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APA (6th Edition):

Greschner, M. (2016). Prediction of structures and properties of high-pressure solid materials using first principles methods. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/ETD-2016-02-2441

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):

Greschner, Michael. “Prediction of structures and properties of high-pressure solid materials using first principles methods.” 2016. Thesis, University of Saskatchewan. Accessed January 23, 2021. http://hdl.handle.net/10388/ETD-2016-02-2441.

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

MLA Handbook (7th Edition):

Greschner, Michael. “Prediction of structures and properties of high-pressure solid materials using first principles methods.” 2016. Web. 23 Jan 2021.

Vancouver:

Greschner M. Prediction of structures and properties of high-pressure solid materials using first principles methods. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/10388/ETD-2016-02-2441.

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

Council of Science Editors:

Greschner M. Prediction of structures and properties of high-pressure solid materials using first principles methods. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/ETD-2016-02-2441

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


San Jose State University

7. Chavan, Neeraj. Higher-order Link Prediction Using Graph Embeddings.

Degree: MS, Computer Science, 2020, San Jose State University

  Link prediction is an emerging field that predicts if two nodes in a network are likely to be connected or not in the near… (more)

Subjects/Keywords: link prediction; triangle prediction; node2vec; graph2vec; graph neural networks; Other Computer Sciences; Theory and Algorithms

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APA (6th Edition):

Chavan, N. (2020). Higher-order Link Prediction Using Graph Embeddings. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/934

Chicago Manual of Style (16th Edition):

Chavan, Neeraj. “Higher-order Link Prediction Using Graph Embeddings.” 2020. Masters Thesis, San Jose State University. Accessed January 23, 2021. https://scholarworks.sjsu.edu/etd_projects/934.

MLA Handbook (7th Edition):

Chavan, Neeraj. “Higher-order Link Prediction Using Graph Embeddings.” 2020. Web. 23 Jan 2021.

Vancouver:

Chavan N. Higher-order Link Prediction Using Graph Embeddings. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2021 Jan 23]. Available from: https://scholarworks.sjsu.edu/etd_projects/934.

Council of Science Editors:

Chavan N. Higher-order Link Prediction Using Graph Embeddings. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/934


Penn State University

8. Akcay, Samet. link age: a factor in link prediction in a social network.

Degree: 2015, Penn State University

 This work extends a previous one that investigated link age and its effect on network evolu- tion. Whether aging adversely influences prediction power of links… (more)

Subjects/Keywords: Social Network; Link Prediction; Prediction Power; Network Theory; Mixture Model; Logistic Regression

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APA (6th Edition):

Akcay, S. (2015). link age: a factor in link prediction in a social network. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25789

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):

Akcay, Samet. “link age: a factor in link prediction in a social network.” 2015. Thesis, Penn State University. Accessed January 23, 2021. https://submit-etda.libraries.psu.edu/catalog/25789.

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

MLA Handbook (7th Edition):

Akcay, Samet. “link age: a factor in link prediction in a social network.” 2015. Web. 23 Jan 2021.

Vancouver:

Akcay S. link age: a factor in link prediction in a social network. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/25789.

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

Council of Science Editors:

Akcay S. link age: a factor in link prediction in a social network. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25789

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


Universiteit Utrecht

9. Davidse, J. Polderen over dijken.

Degree: 2015, Universiteit Utrecht

 Het huidige onderzoek is ontstaan vanuit een vraag van Waternet. Namelijk hoe de organisatie met behulp van interactieve online communicatie meer betrokkenheid kan creëren bij… (more)

Subjects/Keywords: Media Synchronicity Theory; Intergrative Model of Behavioral Prediction; betrokkenheid

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APA (6th Edition):

Davidse, J. (2015). Polderen over dijken. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/308117

Chicago Manual of Style (16th Edition):

Davidse, J. “Polderen over dijken.” 2015. Masters Thesis, Universiteit Utrecht. Accessed January 23, 2021. http://dspace.library.uu.nl:8080/handle/1874/308117.

MLA Handbook (7th Edition):

Davidse, J. “Polderen over dijken.” 2015. Web. 23 Jan 2021.

Vancouver:

Davidse J. Polderen over dijken. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Jan 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/308117.

Council of Science Editors:

Davidse J. Polderen over dijken. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/308117


University of Michigan

10. Kong, Yuqing. Eliciting and Aggregating Information: An Information Theoretic Approach.

Degree: PhD, Computer Science & Engineering, 2018, University of Michigan

 Crowdsourcing – outsourcing tasks to a crowd of workers (e.g. Amazon Mechanical Turk, peer grading for massive open online courseware (MOOCs), scholarly peer review, and Yahoo… (more)

Subjects/Keywords: Peer prediction; Information theory; Mechanism design; Unsupervised learning; Computer Science; Engineering

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APA (6th Edition):

Kong, Y. (2018). Eliciting and Aggregating Information: An Information Theoretic Approach. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145809

Chicago Manual of Style (16th Edition):

Kong, Yuqing. “Eliciting and Aggregating Information: An Information Theoretic Approach.” 2018. Doctoral Dissertation, University of Michigan. Accessed January 23, 2021. http://hdl.handle.net/2027.42/145809.

MLA Handbook (7th Edition):

Kong, Yuqing. “Eliciting and Aggregating Information: An Information Theoretic Approach.” 2018. Web. 23 Jan 2021.

Vancouver:

Kong Y. Eliciting and Aggregating Information: An Information Theoretic Approach. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2027.42/145809.

Council of Science Editors:

Kong Y. Eliciting and Aggregating Information: An Information Theoretic Approach. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145809

11. Frach, Roland. Expanding the scope of integral equation-based solvation theory.

Degree: 2015, Technische Universität Dortmund

 Implicit solvation models are used to predict and to understand various properties of solutions within feasible time scales. But common implicit approaches ignore the granularity… (more)

Subjects/Keywords: EC-RISM; chemical shift prediction; nondipolar solvation; liquid state theory; 540

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APA (6th Edition):

Frach, R. (2015). Expanding the scope of integral equation-based solvation theory. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-16566

Chicago Manual of Style (16th Edition):

Frach, Roland. “Expanding the scope of integral equation-based solvation theory.” 2015. Doctoral Dissertation, Technische Universität Dortmund. Accessed January 23, 2021. http://dx.doi.org/10.17877/DE290R-16566.

MLA Handbook (7th Edition):

Frach, Roland. “Expanding the scope of integral equation-based solvation theory.” 2015. Web. 23 Jan 2021.

Vancouver:

Frach R. Expanding the scope of integral equation-based solvation theory. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2015. [cited 2021 Jan 23]. Available from: http://dx.doi.org/10.17877/DE290R-16566.

Council of Science Editors:

Frach R. Expanding the scope of integral equation-based solvation theory. [Doctoral Dissertation]. Technische Universität Dortmund; 2015. Available from: http://dx.doi.org/10.17877/DE290R-16566


University of Cambridge

12. Nelson, Joseph Richard. Crystal structure prediction at high pressures: stability, superconductivity and superionicity.

Degree: PhD, 2017, University of Cambridge

 The physical and chemical properties of materials are intimately related to their underlying crystal structure: the detailed arrangement of atoms and chemical bonds within. This… (more)

Subjects/Keywords: Density functional theory; High-pressure physics; Crystal structure prediction

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APA (6th Edition):

Nelson, J. R. (2017). Crystal structure prediction at high pressures: stability, superconductivity and superionicity. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/268482

Chicago Manual of Style (16th Edition):

Nelson, Joseph Richard. “Crystal structure prediction at high pressures: stability, superconductivity and superionicity.” 2017. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://www.repository.cam.ac.uk/handle/1810/268482.

MLA Handbook (7th Edition):

Nelson, Joseph Richard. “Crystal structure prediction at high pressures: stability, superconductivity and superionicity.” 2017. Web. 23 Jan 2021.

Vancouver:

Nelson JR. Crystal structure prediction at high pressures: stability, superconductivity and superionicity. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2021 Jan 23]. Available from: https://www.repository.cam.ac.uk/handle/1810/268482.

Council of Science Editors:

Nelson JR. Crystal structure prediction at high pressures: stability, superconductivity and superionicity. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/268482

13. Mayo, Martin. Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries.

Degree: PhD, 2018, University of Cambridge

 This thesis uses first principles techniques, mainly the ab initio random structure searching method (AIRSS), to study anode materials for lithium- and sodium- ion batteries… (more)

Subjects/Keywords: batteries; anodes; structure prediction; Density-functional theory; NMR; GIPAW

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APA (6th Edition):

Mayo, M. (2018). Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/270545

Chicago Manual of Style (16th Edition):

Mayo, Martin. “Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries.” 2018. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://www.repository.cam.ac.uk/handle/1810/270545.

MLA Handbook (7th Edition):

Mayo, Martin. “Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries.” 2018. Web. 23 Jan 2021.

Vancouver:

Mayo M. Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Jan 23]. Available from: https://www.repository.cam.ac.uk/handle/1810/270545.

Council of Science Editors:

Mayo M. Ab Initio Anode Materials Discovery for Li- and Na-Ion Batteries. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/270545


University of California – San Francisco

14. Shih, Jonathan Yih. Spectrotemporal Processing in the Auditory Thalamus and Cortex.

Degree: Bioengineering, 2012, University of California – San Francisco

 Spectrotemporal receptive fields are useful for determining properties such as an auditory neuron's characteristic frequency, response latency, and spectral and temporal modulation preferences. Above all,… (more)

Subjects/Keywords: Neurosciences; Auditory; Cortex; Information Theory; Prediction; Receptive Field; Thalamus

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APA (6th Edition):

Shih, J. Y. (2012). Spectrotemporal Processing in the Auditory Thalamus and Cortex. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/6w8490hg

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):

Shih, Jonathan Yih. “Spectrotemporal Processing in the Auditory Thalamus and Cortex.” 2012. Thesis, University of California – San Francisco. Accessed January 23, 2021. http://www.escholarship.org/uc/item/6w8490hg.

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

MLA Handbook (7th Edition):

Shih, Jonathan Yih. “Spectrotemporal Processing in the Auditory Thalamus and Cortex.” 2012. Web. 23 Jan 2021.

Vancouver:

Shih JY. Spectrotemporal Processing in the Auditory Thalamus and Cortex. [Internet] [Thesis]. University of California – San Francisco; 2012. [cited 2021 Jan 23]. Available from: http://www.escholarship.org/uc/item/6w8490hg.

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

Council of Science Editors:

Shih JY. Spectrotemporal Processing in the Auditory Thalamus and Cortex. [Thesis]. University of California – San Francisco; 2012. Available from: http://www.escholarship.org/uc/item/6w8490hg

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


Hong Kong University of Science and Technology

15. Leung, Chi Chung. Improving prediction by non-linear techniques.

Degree: 1999, Hong Kong University of Science and Technology

 It is observed that the predictivity is larger when predicting the change in absolute magnitude than when predicting the actual value in the weather forecasting,… (more)

Subjects/Keywords: Prediction theory ; Nonlinear functional analysis

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APA (6th Edition):

Leung, C. C. (1999). Improving prediction by non-linear techniques. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-5082 ; https://doi.org/10.14711/thesis-b645944 ; http://repository.ust.hk/ir/bitstream/1783.1-5082/1/th_redirect.html

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):

Leung, Chi Chung. “Improving prediction by non-linear techniques.” 1999. Thesis, Hong Kong University of Science and Technology. Accessed January 23, 2021. http://repository.ust.hk/ir/Record/1783.1-5082 ; https://doi.org/10.14711/thesis-b645944 ; http://repository.ust.hk/ir/bitstream/1783.1-5082/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Leung, Chi Chung. “Improving prediction by non-linear techniques.” 1999. Web. 23 Jan 2021.

Vancouver:

Leung CC. Improving prediction by non-linear techniques. [Internet] [Thesis]. Hong Kong University of Science and Technology; 1999. [cited 2021 Jan 23]. Available from: http://repository.ust.hk/ir/Record/1783.1-5082 ; https://doi.org/10.14711/thesis-b645944 ; http://repository.ust.hk/ir/bitstream/1783.1-5082/1/th_redirect.html.

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

Council of Science Editors:

Leung CC. Improving prediction by non-linear techniques. [Thesis]. Hong Kong University of Science and Technology; 1999. Available from: http://repository.ust.hk/ir/Record/1783.1-5082 ; https://doi.org/10.14711/thesis-b645944 ; http://repository.ust.hk/ir/bitstream/1783.1-5082/1/th_redirect.html

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


Rice University

16. Kim, Bobby Lee. Optimization of predictive energy landscapes for membrane and globular protein structure prediction.

Degree: PhD, Natural Sciences, 2015, Rice University

 This thesis discusses recent results using the Associative-memory, Water-mediated, Structure and Energy Model (AWSEM), an optimized, coarse-grained molecular dynamics model. AWSEM and its membrane protein… (more)

Subjects/Keywords: protein folding; protein structure prediction; energy landscape theory; molecular dynamics

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APA (6th Edition):

Kim, B. L. (2015). Optimization of predictive energy landscapes for membrane and globular protein structure prediction. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/88336

Chicago Manual of Style (16th Edition):

Kim, Bobby Lee. “Optimization of predictive energy landscapes for membrane and globular protein structure prediction.” 2015. Doctoral Dissertation, Rice University. Accessed January 23, 2021. http://hdl.handle.net/1911/88336.

MLA Handbook (7th Edition):

Kim, Bobby Lee. “Optimization of predictive energy landscapes for membrane and globular protein structure prediction.” 2015. Web. 23 Jan 2021.

Vancouver:

Kim BL. Optimization of predictive energy landscapes for membrane and globular protein structure prediction. [Internet] [Doctoral dissertation]. Rice University; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/1911/88336.

Council of Science Editors:

Kim BL. Optimization of predictive energy landscapes for membrane and globular protein structure prediction. [Doctoral Dissertation]. Rice University; 2015. Available from: http://hdl.handle.net/1911/88336


Michigan State University

17. Phoha, Shashi Prabha, 1948-. On algorithms for nonlinear prediction.

Degree: PhD, 1976, Michigan State University

Subjects/Keywords: Prediction theory; Algorithms; Stochastic processes

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APA (6th Edition):

Phoha, Shashi Prabha, 1. (1976). On algorithms for nonlinear prediction. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:35817

Chicago Manual of Style (16th Edition):

Phoha, Shashi Prabha, 1948-. “On algorithms for nonlinear prediction.” 1976. Doctoral Dissertation, Michigan State University. Accessed January 23, 2021. http://etd.lib.msu.edu/islandora/object/etd:35817.

MLA Handbook (7th Edition):

Phoha, Shashi Prabha, 1948-. “On algorithms for nonlinear prediction.” 1976. Web. 23 Jan 2021.

Vancouver:

Phoha, Shashi Prabha 1. On algorithms for nonlinear prediction. [Internet] [Doctoral dissertation]. Michigan State University; 1976. [cited 2021 Jan 23]. Available from: http://etd.lib.msu.edu/islandora/object/etd:35817.

Council of Science Editors:

Phoha, Shashi Prabha 1. On algorithms for nonlinear prediction. [Doctoral Dissertation]. Michigan State University; 1976. Available from: http://etd.lib.msu.edu/islandora/object/etd:35817


Montana State University

18. Jonca, Andrzej Wilhelm. Prediction bands for ill-posed problems.

Degree: PhD, College of Letters & Science, 1988, Montana State University

Subjects/Keywords: Linear operators.; Prediction theory.

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APA (6th Edition):

Jonca, A. W. (1988). Prediction bands for ill-posed problems. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/6558

Chicago Manual of Style (16th Edition):

Jonca, Andrzej Wilhelm. “Prediction bands for ill-posed problems.” 1988. Doctoral Dissertation, Montana State University. Accessed January 23, 2021. https://scholarworks.montana.edu/xmlui/handle/1/6558.

MLA Handbook (7th Edition):

Jonca, Andrzej Wilhelm. “Prediction bands for ill-posed problems.” 1988. Web. 23 Jan 2021.

Vancouver:

Jonca AW. Prediction bands for ill-posed problems. [Internet] [Doctoral dissertation]. Montana State University; 1988. [cited 2021 Jan 23]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/6558.

Council of Science Editors:

Jonca AW. Prediction bands for ill-posed problems. [Doctoral Dissertation]. Montana State University; 1988. Available from: https://scholarworks.montana.edu/xmlui/handle/1/6558


University of Notre Dame

19. Ryan N. Lichtenwalter. Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>.

Degree: Computer Science and Engineering, 2012, University of Notre Dame

  Link prediction is succinctly stated as identifying unobserved links in a network. It has important applications ranging from recommending beneficial relationships in social networks… (more)

Subjects/Keywords: link analysis; data mining; link prediction; networks; graph theory; classification

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APA (6th Edition):

Lichtenwalter, R. N. (2012). Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/fj23611103z

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):

Lichtenwalter, Ryan N.. “Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>.” 2012. Thesis, University of Notre Dame. Accessed January 23, 2021. https://curate.nd.edu/show/fj23611103z.

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

MLA Handbook (7th Edition):

Lichtenwalter, Ryan N.. “Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>.” 2012. Web. 23 Jan 2021.

Vancouver:

Lichtenwalter RN. Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>. [Internet] [Thesis]. University of Notre Dame; 2012. [cited 2021 Jan 23]. Available from: https://curate.nd.edu/show/fj23611103z.

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

Council of Science Editors:

Lichtenwalter RN. Network Analysis and Link Prediction: Effective and Meaningful Modeling and Evaluation</h1>. [Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/fj23611103z

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


Clemson University

20. Canonico, Lorenzo Barberis. Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence.

Degree: PhD, School of Computing, 2019, Clemson University

  One of the major ways through which humans overcome complex challenges is teamwork. When humans share knowledge and information, and cooperate and coordinate towards… (more)

Subjects/Keywords: collective intelligence; game theory; multi-agent systems; prediction markets; team cognition

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APA (6th Edition):

Canonico, L. B. (2019). Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2490

Chicago Manual of Style (16th Edition):

Canonico, Lorenzo Barberis. “Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence.” 2019. Doctoral Dissertation, Clemson University. Accessed January 23, 2021. https://tigerprints.clemson.edu/all_dissertations/2490.

MLA Handbook (7th Edition):

Canonico, Lorenzo Barberis. “Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence.” 2019. Web. 23 Jan 2021.

Vancouver:

Canonico LB. Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2021 Jan 23]. Available from: https://tigerprints.clemson.edu/all_dissertations/2490.

Council of Science Editors:

Canonico LB. Human-Machine Teamwork: An Exploration of Multi-Agent Systems, Team Cognition, and Collective Intelligence. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2490


Clemson University

21. Mathieson, James. Connective Complexity Methods for Analysis and Prediction in Engineering Design.

Degree: MS, Mechanical Engineering, 2011, Clemson University

  Complexity is an aspect of engineering design that is often addressed directly with the principle that 'designs should be simple'. However, such a principle… (more)

Subjects/Keywords: Complexity; Complexity Measurement; Graph Theory; Performance Prediction; Mechanical Engineering

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APA (6th Edition):

Mathieson, J. (2011). Connective Complexity Methods for Analysis and Prediction in Engineering Design. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1085

Chicago Manual of Style (16th Edition):

Mathieson, James. “Connective Complexity Methods for Analysis and Prediction in Engineering Design.” 2011. Masters Thesis, Clemson University. Accessed January 23, 2021. https://tigerprints.clemson.edu/all_theses/1085.

MLA Handbook (7th Edition):

Mathieson, James. “Connective Complexity Methods for Analysis and Prediction in Engineering Design.” 2011. Web. 23 Jan 2021.

Vancouver:

Mathieson J. Connective Complexity Methods for Analysis and Prediction in Engineering Design. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2021 Jan 23]. Available from: https://tigerprints.clemson.edu/all_theses/1085.

Council of Science Editors:

Mathieson J. Connective Complexity Methods for Analysis and Prediction in Engineering Design. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1085


Georgia Tech

22. Ferguson, David Edward. The development of a self-adaptive prediction and control system.

Degree: MS, Industrial engineering, 1971, Georgia Tech

Subjects/Keywords: Time-series analysis; Prediction theory

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APA (6th Edition):

Ferguson, D. E. (1971). The development of a self-adaptive prediction and control system. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/30678

Chicago Manual of Style (16th Edition):

Ferguson, David Edward. “The development of a self-adaptive prediction and control system.” 1971. Masters Thesis, Georgia Tech. Accessed January 23, 2021. http://hdl.handle.net/1853/30678.

MLA Handbook (7th Edition):

Ferguson, David Edward. “The development of a self-adaptive prediction and control system.” 1971. Web. 23 Jan 2021.

Vancouver:

Ferguson DE. The development of a self-adaptive prediction and control system. [Internet] [Masters thesis]. Georgia Tech; 1971. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/1853/30678.

Council of Science Editors:

Ferguson DE. The development of a self-adaptive prediction and control system. [Masters Thesis]. Georgia Tech; 1971. Available from: http://hdl.handle.net/1853/30678


University of Maryland

23. London, Benjamin Alexei. On the Stability of Structured Prediction.

Degree: Computer Science, 2015, University of Maryland

 Many important applications of artificial intelligence – such as image segmentation, part-of-speech tagging and network classification – are framed as multiple, interdependent prediction tasks. These structured prediction(more)

Subjects/Keywords: Artificial intelligence; graphical models; machine learning; statistical learning theory; structured prediction

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APA (6th Edition):

London, B. A. (2015). On the Stability of Structured Prediction. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/17061

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):

London, Benjamin Alexei. “On the Stability of Structured Prediction.” 2015. Thesis, University of Maryland. Accessed January 23, 2021. http://hdl.handle.net/1903/17061.

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

MLA Handbook (7th Edition):

London, Benjamin Alexei. “On the Stability of Structured Prediction.” 2015. Web. 23 Jan 2021.

Vancouver:

London BA. On the Stability of Structured Prediction. [Internet] [Thesis]. University of Maryland; 2015. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/1903/17061.

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

Council of Science Editors:

London BA. On the Stability of Structured Prediction. [Thesis]. University of Maryland; 2015. Available from: http://hdl.handle.net/1903/17061

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


University of Cambridge

24. Nelson, Joseph Richard. Crystal structure prediction at high pressures : stability, superconductivity and superionicity.

Degree: PhD, 2017, University of Cambridge

 The physical and chemical properties of materials are intimately related to their underlying crystal structure: the detailed arrangement of atoms and chemical bonds within. This… (more)

Subjects/Keywords: 571.6; Density functional theory; High-pressure physics; Crystal structure prediction

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APA (6th Edition):

Nelson, J. R. (2017). Crystal structure prediction at high pressures : stability, superconductivity and superionicity. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.14686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744272

Chicago Manual of Style (16th Edition):

Nelson, Joseph Richard. “Crystal structure prediction at high pressures : stability, superconductivity and superionicity.” 2017. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://doi.org/10.17863/CAM.14686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744272.

MLA Handbook (7th Edition):

Nelson, Joseph Richard. “Crystal structure prediction at high pressures : stability, superconductivity and superionicity.” 2017. Web. 23 Jan 2021.

Vancouver:

Nelson JR. Crystal structure prediction at high pressures : stability, superconductivity and superionicity. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2021 Jan 23]. Available from: https://doi.org/10.17863/CAM.14686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744272.

Council of Science Editors:

Nelson JR. Crystal structure prediction at high pressures : stability, superconductivity and superionicity. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://doi.org/10.17863/CAM.14686 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744272


University of Cambridge

25. Mayo, Martin. Ab initio anode materials discovery for Li- and Na-ion batteries.

Degree: PhD, 2018, University of Cambridge

 This thesis uses first principles techniques, mainly the ab initio random structure searching method (AIRSS), to study anode materials for lithium- and sodium- ion batteries… (more)

Subjects/Keywords: 621.31; batteries; anodes; structure prediction; Density-functional theory; NMR; GIPAW

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APA (6th Edition):

Mayo, M. (2018). Ab initio anode materials discovery for Li- and Na-ion batteries. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.17442 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744445

Chicago Manual of Style (16th Edition):

Mayo, Martin. “Ab initio anode materials discovery for Li- and Na-ion batteries.” 2018. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://doi.org/10.17863/CAM.17442 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744445.

MLA Handbook (7th Edition):

Mayo, Martin. “Ab initio anode materials discovery for Li- and Na-ion batteries.” 2018. Web. 23 Jan 2021.

Vancouver:

Mayo M. Ab initio anode materials discovery for Li- and Na-ion batteries. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2021 Jan 23]. Available from: https://doi.org/10.17863/CAM.17442 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744445.

Council of Science Editors:

Mayo M. Ab initio anode materials discovery for Li- and Na-ion batteries. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://doi.org/10.17863/CAM.17442 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744445


University of British Columbia

26. Campbell, Alyce. An empirical study of a financial signalling model.

Degree: PhD, Business Administration, 1987, University of British Columbia

 Brennan and Kraus (1982,1986) developed a costless signalling model which can explain why managers issue hybrid securities—convertibles(CB's) or bond-warrant packages(BW's). The model predicts that when… (more)

Subjects/Keywords: Prediction theory; Finance  – Mathematical models

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APA (6th Edition):

Campbell, A. (1987). An empirical study of a financial signalling model. (Doctoral Dissertation). University of British Columbia. Retrieved from http://hdl.handle.net/2429/26969

Chicago Manual of Style (16th Edition):

Campbell, Alyce. “An empirical study of a financial signalling model.” 1987. Doctoral Dissertation, University of British Columbia. Accessed January 23, 2021. http://hdl.handle.net/2429/26969.

MLA Handbook (7th Edition):

Campbell, Alyce. “An empirical study of a financial signalling model.” 1987. Web. 23 Jan 2021.

Vancouver:

Campbell A. An empirical study of a financial signalling model. [Internet] [Doctoral dissertation]. University of British Columbia; 1987. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2429/26969.

Council of Science Editors:

Campbell A. An empirical study of a financial signalling model. [Doctoral Dissertation]. University of British Columbia; 1987. Available from: http://hdl.handle.net/2429/26969


University of Cambridge

27. Burghi, Thiago. Feedback for neuronal system identification.

Degree: PhD, 2019, University of Cambridge

 In order to estimate reliable models from noisy input-output data, system identification techniques usually require that the data be generated by a process with a… (more)

Subjects/Keywords: System identification; Prediction error method; Contraction theory; Fading memory; Electrophysiology; Neuroscience

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

APA (6th Edition):

Burghi, T. (2019). Feedback for neuronal system identification. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.57543 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814503

Chicago Manual of Style (16th Edition):

Burghi, Thiago. “Feedback for neuronal system identification.” 2019. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://doi.org/10.17863/CAM.57543 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814503.

MLA Handbook (7th Edition):

Burghi, Thiago. “Feedback for neuronal system identification.” 2019. Web. 23 Jan 2021.

Vancouver:

Burghi T. Feedback for neuronal system identification. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 Jan 23]. Available from: https://doi.org/10.17863/CAM.57543 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814503.

Council of Science Editors:

Burghi T. Feedback for neuronal system identification. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://doi.org/10.17863/CAM.57543 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814503


University of British Columbia

28. Freeland, R. Keith. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data.

Degree: PhD, Business Administration, 1998, University of British Columbia

 This thesis examines the statistical properties of the Poisson AR(1) model of Al-Osh and Alzaid (1987) and McKenzie (1988). The analysis includes forecasting, estimation, testing… (more)

Subjects/Keywords: Time-series analysis.; Prediction theory.

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APA (6th Edition):

Freeland, R. K. (1998). Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data. (Doctoral Dissertation). University of British Columbia. Retrieved from http://hdl.handle.net/2429/8500

Chicago Manual of Style (16th Edition):

Freeland, R Keith. “Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data.” 1998. Doctoral Dissertation, University of British Columbia. Accessed January 23, 2021. http://hdl.handle.net/2429/8500.

MLA Handbook (7th Edition):

Freeland, R Keith. “Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data.” 1998. Web. 23 Jan 2021.

Vancouver:

Freeland RK. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data. [Internet] [Doctoral dissertation]. University of British Columbia; 1998. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/2429/8500.

Council of Science Editors:

Freeland RK. Statistical analysis of discrete time series with application to the analysis of workers' compensation claims data. [Doctoral Dissertation]. University of British Columbia; 1998. Available from: http://hdl.handle.net/2429/8500


Michigan State University

29. Sorensen, Roy A. Moore's problem and the prediction paradox : new limits for epistemology.

Degree: PhD, Department of Philosophy, 1982, Michigan State University

Subjects/Keywords: Knowledge, Theory of; Prediction (Logic)

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APA (6th Edition):

Sorensen, R. A. (1982). Moore's problem and the prediction paradox : new limits for epistemology. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:37078

Chicago Manual of Style (16th Edition):

Sorensen, Roy A. “Moore's problem and the prediction paradox : new limits for epistemology.” 1982. Doctoral Dissertation, Michigan State University. Accessed January 23, 2021. http://etd.lib.msu.edu/islandora/object/etd:37078.

MLA Handbook (7th Edition):

Sorensen, Roy A. “Moore's problem and the prediction paradox : new limits for epistemology.” 1982. Web. 23 Jan 2021.

Vancouver:

Sorensen RA. Moore's problem and the prediction paradox : new limits for epistemology. [Internet] [Doctoral dissertation]. Michigan State University; 1982. [cited 2021 Jan 23]. Available from: http://etd.lib.msu.edu/islandora/object/etd:37078.

Council of Science Editors:

Sorensen RA. Moore's problem and the prediction paradox : new limits for epistemology. [Doctoral Dissertation]. Michigan State University; 1982. Available from: http://etd.lib.msu.edu/islandora/object/etd:37078


University of Cambridge

30. Burghi, Thiago. Feedback for neuronal system identification.

Degree: PhD, 2019, University of Cambridge

 In order to estimate reliable models from noisy input-output data, system identification techniques usually require that the data be generated by a process with a… (more)

Subjects/Keywords: System identification; Prediction error method; Contraction theory; Fading memory; Electrophysiology; Neuroscience

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

APA (6th Edition):

Burghi, T. (2019). Feedback for neuronal system identification. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/310449

Chicago Manual of Style (16th Edition):

Burghi, Thiago. “Feedback for neuronal system identification.” 2019. Doctoral Dissertation, University of Cambridge. Accessed January 23, 2021. https://www.repository.cam.ac.uk/handle/1810/310449.

MLA Handbook (7th Edition):

Burghi, Thiago. “Feedback for neuronal system identification.” 2019. Web. 23 Jan 2021.

Vancouver:

Burghi T. Feedback for neuronal system identification. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 Jan 23]. Available from: https://www.repository.cam.ac.uk/handle/1810/310449.

Council of Science Editors:

Burghi T. Feedback for neuronal system identification. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/310449

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