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- 2010 – 2014 (32)
- 2005 – 2009 (16)

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University of Edinburgh

1.
Zhong, Xionghu.
* Bayesian* framework for multiple acoustic source tracking.

Degree: 2010, University of Edinburgh

URL: http://hdl.handle.net/1842/4752

► Acoustic source (speaker) tracking in the room environment plays an important role in many speech and audio applications such as multimedia, hearing aids and hands-free…
(more)

Subjects/Keywords: 621.382; Bayesian filter; particle filtering; tracking

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

APA (6^{th} Edition):

Zhong, X. (2010). Bayesian framework for multiple acoustic source tracking. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4752

Chicago Manual of Style (16^{th} Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Doctoral Dissertation, University of Edinburgh. Accessed March 23, 2019. http://hdl.handle.net/1842/4752.

MLA Handbook (7^{th} Edition):

Zhong, Xionghu. “Bayesian framework for multiple acoustic source tracking.” 2010. Web. 23 Mar 2019.

Vancouver:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Internet] [Doctoral dissertation]. University of Edinburgh; 2010. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1842/4752.

Council of Science Editors:

Zhong X. Bayesian framework for multiple acoustic source tracking. [Doctoral Dissertation]. University of Edinburgh; 2010. Available from: http://hdl.handle.net/1842/4752

University of Waterloo

2.
Datta Gupta, Syamantak.
A Comparative Study of the Particle *Filter* and the Ensemble Kalman * Filter*.

Degree: 2009, University of Waterloo

URL: http://hdl.handle.net/10012/4503

► Non-linear *Bayesian* estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in…
(more)

Subjects/Keywords: Bayesian estimation; non-linear filtering; particle filter; ensemble Kalman filter; Monte Carlo methods; Bayesian inference

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

APA (6^{th} Edition):

Datta Gupta, S. (2009). A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4503

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Thesis, University of Waterloo. Accessed March 23, 2019. http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Datta Gupta, Syamantak. “A Comparative Study of the Particle Filter and the Ensemble Kalman Filter.” 2009. Web. 23 Mar 2019.

Vancouver:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10012/4503.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Datta Gupta S. A Comparative Study of the Particle Filter and the Ensemble Kalman Filter. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4503

Not specified: Masters Thesis or Doctoral Dissertation

3.
Särkkä, Simo.
Recursive *Bayesian* Inference on Stochastic Differential Equations.

Degree: 2006, Helsinki University of Technology

URL: http://lib.tkk.fi/Diss/2006/isbn9512281279/

►

This thesis is concerned with recursive *Bayesian* estimation of non-linear dynamical systems, which can be modeled as discretely observed stochastic differential equations. The recursive real-time…
(more)

Subjects/Keywords: Bayesian inference; continuous-discrete filtering; unscented Kalman filter; particle filter

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

APA (6^{th} Edition):

Särkkä, S. (2006). Recursive Bayesian Inference on Stochastic Differential Equations. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2006/isbn9512281279/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Thesis, Helsinki University of Technology. Accessed March 23, 2019. http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Särkkä, Simo. “Recursive Bayesian Inference on Stochastic Differential Equations.” 2006. Web. 23 Mar 2019.

Vancouver:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Internet] [Thesis]. Helsinki University of Technology; 2006. [cited 2019 Mar 23]. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Särkkä S. Recursive Bayesian Inference on Stochastic Differential Equations. [Thesis]. Helsinki University of Technology; 2006. Available from: http://lib.tkk.fi/Diss/2006/isbn9512281279/

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

4.
Chitchian, M.M.
Adapting Particle *Filter* Algorithms to the GPU Architecture:.

Degree: 2011, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

► The particle *filter* is a *Bayesian* estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian…
(more)

Subjects/Keywords: particle filter; bayesian estimation; CUDA; GPGPU; GPU; bayes filter; non-linear estimation; distributed particle filter; real-time estimation; parallel particle filter

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

APA (6^{th} Edition):

Chitchian, M. M. (2011). Adapting Particle Filter Algorithms to the GPU Architecture:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

Chicago Manual of Style (16^{th} Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Masters Thesis, Delft University of Technology. Accessed March 23, 2019. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

MLA Handbook (7^{th} Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Web. 23 Mar 2019.

Vancouver:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2019 Mar 23]. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

Council of Science Editors:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

George Mason University

5.
Palvai, Anoop Kumar.
Passive RF Localization Based on RSSI Using Non-linear *Bayesian* Estimation
.

Degree: 2009, George Mason University

URL: http://hdl.handle.net/1920/3407

► RF localization has gained prominence because of its potential for supporting various position based applications. Passive RF Localization based on Received Signal Strength Indicator (RSSI)…
(more)

Subjects/Keywords: Localization; Particle Filter; RSSI; Extended Kalman Filter; Non-Liner Bayesian Estimation; Sequential Importance Sampling

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

APA (6^{th} Edition):

Palvai, A. K. (2009). Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/3407

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Palvai, Anoop Kumar. “Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation .” 2009. Thesis, George Mason University. Accessed March 23, 2019. http://hdl.handle.net/1920/3407.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Palvai, Anoop Kumar. “Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation .” 2009. Web. 23 Mar 2019.

Vancouver:

Palvai AK. Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . [Internet] [Thesis]. George Mason University; 2009. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1920/3407.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Palvai AK. Passive RF Localization Based on RSSI Using Non-linear Bayesian Estimation . [Thesis]. George Mason University; 2009. Available from: http://hdl.handle.net/1920/3407

Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

6.
Zilko, A.A.
Non-Parametric *Bayesian* Networks (NPBNs) versus Ensemble Kalman *Filter* (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.

Degree: 2012, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

► Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties…
(more)

Subjects/Keywords: Ensemble Kalman Filter; Non-Parametric Bayesian Networks; Parameter Estimation; Reservoir Engineering; Reservoir Simulation; Bayesian Networks

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

APA (6^{th} Edition):

Zilko, A. A. (2012). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Chicago Manual of Style (16^{th} Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Masters Thesis, Delft University of Technology. Accessed March 23, 2019. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7^{th} Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Web. 23 Mar 2019.

Vancouver:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Mar 23]. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

Council of Science Editors:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Brigham Young University

7.
Havens, Russel William.
Naive *Bayesian* Spam Filters for Log File Analysis.

Degree: MS, 2011, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3813&context=etd

► As computer system usage grows in our world, system administrators need better visibility into the workings of computer systems, especially when those systems have…
(more)

Subjects/Keywords: Russel Havens; log file analysis; Bayesian content filter; spam filter; SpamAssassin; SpamBayes; Bogofilter; filter effectiveness scale; fes; Computer Sciences

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

APA (6^{th} Edition):

Havens, R. W. (2011). Naive Bayesian Spam Filters for Log File Analysis. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3813&context=etd

Chicago Manual of Style (16^{th} Edition):

Havens, Russel William. “Naive Bayesian Spam Filters for Log File Analysis.” 2011. Masters Thesis, Brigham Young University. Accessed March 23, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3813&context=etd.

MLA Handbook (7^{th} Edition):

Havens, Russel William. “Naive Bayesian Spam Filters for Log File Analysis.” 2011. Web. 23 Mar 2019.

Vancouver:

Havens RW. Naive Bayesian Spam Filters for Log File Analysis. [Internet] [Masters thesis]. Brigham Young University; 2011. [cited 2019 Mar 23]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3813&context=etd.

Council of Science Editors:

Havens RW. Naive Bayesian Spam Filters for Log File Analysis. [Masters Thesis]. Brigham Young University; 2011. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3813&context=etd

University of Alberta

8.
Shao, Xinguang.
Particle *Filter* for *Bayesian* State Estimation and Its
Application to Soft Sensor Development.

Degree: PhD, Department of Chemical and Materials Engineering, 2012, University of Alberta

URL: https://era.library.ualberta.ca/files/707957685

► For chemical engineering processes, state estimation plays a key role in various applications such as process monitoring, fault detection, process optimization and model based control.…
(more)

Subjects/Keywords: Bayesian State Estimation; Particle Filter; Oil Sands Extraction; Soft Sensor

Record Details Similar Records

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

APA (6^{th} Edition):

Shao, X. (2012). Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/707957685

Chicago Manual of Style (16^{th} Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Doctoral Dissertation, University of Alberta. Accessed March 23, 2019. https://era.library.ualberta.ca/files/707957685.

MLA Handbook (7^{th} Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Web. 23 Mar 2019.

Vancouver:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Mar 23]. Available from: https://era.library.ualberta.ca/files/707957685.

Council of Science Editors:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/707957685

Texas A&M University

9. Weisman, Ryan Michael 1984-. Nonlinear Transformations and Filtering Theory for Space Operations.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148211

► Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the…
(more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

Record Details Similar Records

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

APA (6^{th} Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Thesis, Texas A&M University. Accessed March 23, 2019. http://hdl.handle.net/1969.1/148211.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 23 Mar 2019.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1969.1/148211.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211

Not specified: Masters Thesis or Doctoral Dissertation

10.
Alvares da Silva, Danilo.
Sequential Monte Carlo methods in *Bayesian* joint models for longitudinal and time-to-event data.

Degree: 2018, TDX

URL: http://hdl.handle.net/10550/59274

► The statistical analysis of the information generated by medical follow-up is a very important challenge in the field of personalised medicine. As the evolutionary course…
(more)

Subjects/Keywords: Bayesian analysis; Joint models; Personalised medicine; Particle filter; UNESCO::MATEMÁTICAS::Estadística

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Alvares da Silva, D. (2018). Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. (Thesis). TDX. Retrieved from http://hdl.handle.net/10550/59274

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Alvares da Silva, Danilo. “Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data.” 2018. Thesis, TDX. Accessed March 23, 2019. http://hdl.handle.net/10550/59274.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Alvares da Silva, Danilo. “Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data.” 2018. Web. 23 Mar 2019.

Vancouver:

Alvares da Silva D. Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. [Internet] [Thesis]. TDX; 2018. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10550/59274.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alvares da Silva D. Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. [Thesis]. TDX; 2018. Available from: http://hdl.handle.net/10550/59274

Not specified: Masters Thesis or Doctoral Dissertation

11. Echeverri, Andrés F. Data Fusion for Vision-Based Robotic Platform Navigation.

Degree: 2016, Marquette University

URL: https://epublications.marquette.edu/theses_open/383

► Data fusion has become an active research topic in recent years. Growing computational performance has allowed the use of redundant sensors to measure a single…
(more)

Subjects/Keywords: Bayesian; Data Fusion; Kalman Filter; Tracking; UAV; Robotics

Record Details Similar Records

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

APA (6^{th} Edition):

Echeverri, A. F. (2016). Data Fusion for Vision-Based Robotic Platform Navigation. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/theses_open/383

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Echeverri, Andrés F. “Data Fusion for Vision-Based Robotic Platform Navigation.” 2016. Thesis, Marquette University. Accessed March 23, 2019. https://epublications.marquette.edu/theses_open/383.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Echeverri, Andrés F. “Data Fusion for Vision-Based Robotic Platform Navigation.” 2016. Web. 23 Mar 2019.

Vancouver:

Echeverri AF. Data Fusion for Vision-Based Robotic Platform Navigation. [Internet] [Thesis]. Marquette University; 2016. [cited 2019 Mar 23]. Available from: https://epublications.marquette.edu/theses_open/383.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Echeverri AF. Data Fusion for Vision-Based Robotic Platform Navigation. [Thesis]. Marquette University; 2016. Available from: https://epublications.marquette.edu/theses_open/383

Not specified: Masters Thesis or Doctoral Dissertation

12.
Alvares da Silva, Danilo.
Sequential Monte Carlo methods in *Bayesian* joint models for longitudinal and time-to-event data.

Degree: 2018, TDX

URL: http://hdl.handle.net/10803/571460

► The statistical analysis of the information generated by medical follow-up is a very important challenge in the field of personalised medicine. As the evolutionary course…
(more)

Subjects/Keywords: Bayesian analysis; Joint models; Personalised medicine; Particle filter; UNESCO::MATEMÁTICAS::Estadística

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Alvares da Silva, D. (2018). Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. (Thesis). TDX. Retrieved from http://hdl.handle.net/10803/571460

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Alvares da Silva, Danilo. “Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data.” 2018. Thesis, TDX. Accessed March 23, 2019. http://hdl.handle.net/10803/571460.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Alvares da Silva, Danilo. “Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data.” 2018. Web. 23 Mar 2019.

Vancouver:

Alvares da Silva D. Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. [Internet] [Thesis]. TDX; 2018. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10803/571460.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alvares da Silva D. Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data. [Thesis]. TDX; 2018. Available from: http://hdl.handle.net/10803/571460

Not specified: Masters Thesis or Doctoral Dissertation

13. Ravet, Alexandre. Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte.

Degree: Docteur es, Systèmes Embarqués et Robotique, 2015, Toulouse, INSA

URL: http://www.theses.fr/2015ISAT0045

► Ces travaux se focalisent sur une problématique fondamentale de la robotique autonome: l'estimation d'état. En effet, la plupart des approches actuelles permettant à un robot…
(more)

Subjects/Keywords: Filtre bayésien; Système physique; Bayesian filter; Physical system; 004; 629.8

Record Details Similar Records

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

APA (6^{th} Edition):

Ravet, A. (2015). Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte. (Doctoral Dissertation). Toulouse, INSA. Retrieved from http://www.theses.fr/2015ISAT0045

Chicago Manual of Style (16^{th} Edition):

Ravet, Alexandre. “Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte.” 2015. Doctoral Dissertation, Toulouse, INSA. Accessed March 23, 2019. http://www.theses.fr/2015ISAT0045.

MLA Handbook (7^{th} Edition):

Ravet, Alexandre. “Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte.” 2015. Web. 23 Mar 2019.

Vancouver:

Ravet A. Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte. [Internet] [Doctoral dissertation]. Toulouse, INSA; 2015. [cited 2019 Mar 23]. Available from: http://www.theses.fr/2015ISAT0045.

Council of Science Editors:

Ravet A. Introducing contextual awareness within the state estimation process : Bayes filters with context-dependent time-heterogeneous distributions : Présentation de sensibilisation contextuelle dans le processus d'estimation d'état : Extension de Bayes filtres avec des distributions de temps hétérogènes dépendant du contexte. [Doctoral Dissertation]. Toulouse, INSA; 2015. Available from: http://www.theses.fr/2015ISAT0045

University of California – San Diego

14. Huang, Chun-Chia. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.

Degree: Engineering Sciences (Mechanical Engineering), 2015, University of California – San Diego

URL: http://www.escholarship.org/uc/item/9c82172m

► The problem of state estimation for a linear, time-varying, gaussian system from measurements which are communicated over an imperfect channel is considered from several perspectives.…
(more)

Subjects/Keywords: Mechanical engineering; Bayesian filtering; Escape time; Kalman filter; packet dropping; quantization

Record Details Similar Records

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

APA (6^{th} Edition):

Huang, C. (2015). State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9c82172m

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Huang, Chun-Chia. “State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.” 2015. Thesis, University of California – San Diego. Accessed March 23, 2019. http://www.escholarship.org/uc/item/9c82172m.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Huang, Chun-Chia. “State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering.” 2015. Web. 23 Mar 2019.

Vancouver:

Huang C. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2019 Mar 23]. Available from: http://www.escholarship.org/uc/item/9c82172m.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang C. State estimation with imperfect communications: escape time formulation and exact quantized-innovations filtering. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/9c82172m

Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

15.
Woodard, Aaron Jacob.
* Bayesian* Estimation of a Single Mass Concentration Within an Asteroid
.

Degree: 2017, University of Arizona

URL: http://hdl.handle.net/10150/625702

► Orbit determination has long relied on the use of the Kalman *filter*, or specifically the extended Kalman *filter*, as a means of accurately navigating spacecraft.…
(more)

Subjects/Keywords: Asteroid; Bayesian Estimation; Gravity Field; Sequential Monte Carlo Filter

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

APA (6^{th} Edition):

Woodard, A. J. (2017). Bayesian Estimation of a Single Mass Concentration Within an Asteroid . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/625702

Chicago Manual of Style (16^{th} Edition):

Woodard, Aaron Jacob. “Bayesian Estimation of a Single Mass Concentration Within an Asteroid .” 2017. Masters Thesis, University of Arizona. Accessed March 23, 2019. http://hdl.handle.net/10150/625702.

MLA Handbook (7^{th} Edition):

Woodard, Aaron Jacob. “Bayesian Estimation of a Single Mass Concentration Within an Asteroid .” 2017. Web. 23 Mar 2019.

Vancouver:

Woodard AJ. Bayesian Estimation of a Single Mass Concentration Within an Asteroid . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10150/625702.

Council of Science Editors:

Woodard AJ. Bayesian Estimation of a Single Mass Concentration Within an Asteroid . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/625702

Vanderbilt University

16.
Weng, Jiannian.
Dynamic *Bayesian* Network Based Fault Diagnosis on Nonlinear Dynamic Systems.

Degree: MS, Computer Science, 2013, Vanderbilt University

URL: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;

► Fault diagnosis approaches for nonlinear real-world systems play a very important role in maintaining dependable, robust operations of safety-critical systems like aircraft, automobiles, power plants…
(more)

Subjects/Keywords: Particle Filter; Fault Diagnosis; Dynamic Bayesian Network; Nonlinear

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APA (6^{th} Edition):

Weng, J. (2013). Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;

Chicago Manual of Style (16^{th} Edition):

Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Masters Thesis, Vanderbilt University. Accessed March 23, 2019. http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.

MLA Handbook (7^{th} Edition):

Weng, Jiannian. “Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems.” 2013. Web. 23 Mar 2019.

Vancouver:

Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Internet] [Masters thesis]. Vanderbilt University; 2013. [cited 2019 Mar 23]. Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;.

Council of Science Editors:

Weng J. Dynamic Bayesian Network Based Fault Diagnosis on Nonlinear Dynamic Systems. [Masters Thesis]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-04012013-232835/ ;

University of Texas – Austin

17. Ramakrishnan, Anurekha. Predicting influenza hospitalizations.

Degree: Statistics, 2012, University of Texas – Austin

URL: http://hdl.handle.net/2152/26598

► Seasonal influenza epidemics are a major public health concern, causing three to five million cases of severe illness and about 250,000 to 500,000 deaths worldwide.…
(more)

Subjects/Keywords: Bayesian estimation; Flu forecasting; Influenza hospitalization prediction; Kalman filter

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

APA (6^{th} Edition):

Ramakrishnan, A. (2012). Predicting influenza hospitalizations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26598

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ramakrishnan, Anurekha. “Predicting influenza hospitalizations.” 2012. Thesis, University of Texas – Austin. Accessed March 23, 2019. http://hdl.handle.net/2152/26598.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ramakrishnan, Anurekha. “Predicting influenza hospitalizations.” 2012. Web. 23 Mar 2019.

Vancouver:

Ramakrishnan A. Predicting influenza hospitalizations. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2152/26598.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramakrishnan A. Predicting influenza hospitalizations. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/26598

Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

18. Nerurkar, Esha. Mobile Robot Localization Under Processing And Communication Constraints.

Degree: PhD, Computer Science, 2016, University of Minnesota

URL: http://hdl.handle.net/11299/180205

► Mobile robot localization is one of the most fundamental problems in robotics. For robots assisting humans in tasks such as surveillance, search and rescue, and…
(more)

Subjects/Keywords: Bayesian estimation; Distributed processing; Kalman filter; Multi-robot; vision-inertial

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

APA (6^{th} Edition):

Nerurkar, E. (2016). Mobile Robot Localization Under Processing And Communication Constraints. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/180205

Chicago Manual of Style (16^{th} Edition):

Nerurkar, Esha. “Mobile Robot Localization Under Processing And Communication Constraints.” 2016. Doctoral Dissertation, University of Minnesota. Accessed March 23, 2019. http://hdl.handle.net/11299/180205.

MLA Handbook (7^{th} Edition):

Nerurkar, Esha. “Mobile Robot Localization Under Processing And Communication Constraints.” 2016. Web. 23 Mar 2019.

Vancouver:

Nerurkar E. Mobile Robot Localization Under Processing And Communication Constraints. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/11299/180205.

Council of Science Editors:

Nerurkar E. Mobile Robot Localization Under Processing And Communication Constraints. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/180205

Virginia Tech

19. Chambers, Micah Christopher. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

URL: http://hdl.handle.net/10919/35143

► Traditional methods of analyzing functional Magnetic Resonance Images use a linear combination of just a few static regressors. This work demonstrates an alternative approach using…
(more)

Subjects/Keywords: BOLD Response; FMRI; Nonlinear Systems; Particle Filter; Bayesian Statistics; System Identification

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APA (6^{th} Edition):

Chambers, M. C. (2010). Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35143

Chicago Manual of Style (16^{th} Edition):

Chambers, Micah Christopher. “Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.” 2010. Masters Thesis, Virginia Tech. Accessed March 23, 2019. http://hdl.handle.net/10919/35143.

MLA Handbook (7^{th} Edition):

Chambers, Micah Christopher. “Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters.” 2010. Web. 23 Mar 2019.

Vancouver:

Chambers MC. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10919/35143.

Council of Science Editors:

Chambers MC. Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/35143

University of Waterloo

20. Mathew, Manoj. Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems.

Degree: 2018, University of Waterloo

URL: http://hdl.handle.net/10012/13268

► As lithium-ion (Li-Ion) battery packs grow in popularity, so do the concerns of its safety, reliability, and cost. An efficient and robust battery management system…
(more)

Subjects/Keywords: lithium-ion; state estimation; parameter estimaton; recursive bayesian filter

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APA (6^{th} Edition):

Mathew, M. (2018). Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13268

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mathew, Manoj. “Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems.” 2018. Thesis, University of Waterloo. Accessed March 23, 2019. http://hdl.handle.net/10012/13268.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mathew, Manoj. “Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems.” 2018. Web. 23 Mar 2019.

Vancouver:

Mathew M. Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10012/13268.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mathew M. Modeling and State Estimation of Lithium-Ion Battery Packs for Application in Battery Management Systems. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13268

Not specified: Masters Thesis or Doctoral Dissertation

University of Virginia

21. Qureshi, Muhammad. Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels.

Degree: MS, Electrical Engineering, 2014, University of Virginia

URL: http://libra.virginia.edu/catalog/libra-oa:7248

► Bidirectional satellite communication between earth terminals on the same frequency at the same time is an emerging means of doubling spectral efficiency on satellite channels.…
(more)

Subjects/Keywords: Nonlinear channel; particle filter; bootstrap filter; MAP; inverter; saleh model; bayesian estimation; satellite communications; adaptive canceller; 16-APSK

Record Details Similar Records

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

APA (6^{th} Edition):

Qureshi, M. (2014). Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels. (Doctoral Dissertation). University of Virginia. Retrieved from http://libra.virginia.edu/catalog/libra-oa:7248

Chicago Manual of Style (16^{th} Edition):

Qureshi, Muhammad. “Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels.” 2014. Doctoral Dissertation, University of Virginia. Accessed March 23, 2019. http://libra.virginia.edu/catalog/libra-oa:7248.

MLA Handbook (7^{th} Edition):

Qureshi, Muhammad. “Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels.” 2014. Web. 23 Mar 2019.

Vancouver:

Qureshi M. Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels. [Internet] [Doctoral dissertation]. University of Virginia; 2014. [cited 2019 Mar 23]. Available from: http://libra.virginia.edu/catalog/libra-oa:7248.

Council of Science Editors:

Qureshi M. Receiver-Based Algorithm for Bidirectional Nonlinear Satcom Channels. [Doctoral Dissertation]. University of Virginia; 2014. Available from: http://libra.virginia.edu/catalog/libra-oa:7248

University of Plymouth

22.
Al-Saadony, Muhannad.
* Bayesian* stochastic differential equation modelling with application to finance.

Degree: PhD, 2013, University of Plymouth

URL: http://hdl.handle.net/10026.1/1530

► In this thesis, we consider some popular stochastic differential equation models used in finance, such as the Vasicek Interest Rate model, the Heston model and…
(more)

Subjects/Keywords: 519.2; Fractional Stochastic Differential Equation, Bayesian inference, Markov chain Monte Carlo, Sequential Monte carlo Methods, Particle Filter, Auxiliary Particle Filter.

Record Details Similar Records

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

APA (6^{th} Edition):

Al-Saadony, M. (2013). Bayesian stochastic differential equation modelling with application to finance. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/1530

Chicago Manual of Style (16^{th} Edition):

Al-Saadony, Muhannad. “Bayesian stochastic differential equation modelling with application to finance.” 2013. Doctoral Dissertation, University of Plymouth. Accessed March 23, 2019. http://hdl.handle.net/10026.1/1530.

MLA Handbook (7^{th} Edition):

Al-Saadony, Muhannad. “Bayesian stochastic differential equation modelling with application to finance.” 2013. Web. 23 Mar 2019.

Vancouver:

Al-Saadony M. Bayesian stochastic differential equation modelling with application to finance. [Internet] [Doctoral dissertation]. University of Plymouth; 2013. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10026.1/1530.

Council of Science Editors:

Al-Saadony M. Bayesian stochastic differential equation modelling with application to finance. [Doctoral Dissertation]. University of Plymouth; 2013. Available from: http://hdl.handle.net/10026.1/1530

23. Champagne, Clara. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.

Degree: Docteur es, Mathématiques aux interfaces, 2018, Paris Saclay

URL: http://www.theses.fr/2018SACLG006

►

L’importance et l’expansion des arboviroses comme la dengue ou le virus Zika nécessite des modèles pour mieux comprendre et prédire leurs dynamiques. La propagation vectorielle… (more)

Subjects/Keywords: Particle filter; Inférence bayésienne; Virus Zika; Dengue; Dengue fever; South-East asia; Particle filter; Bayesian inference; 579.2; 616.9; 00; 62; 92

Record Details Similar Records

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APA (6^{th} Edition):

Champagne, C. (2018). Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2018SACLG006

Chicago Manual of Style (16^{th} Edition):

Champagne, Clara. “Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.” 2018. Doctoral Dissertation, Paris Saclay. Accessed March 23, 2019. http://www.theses.fr/2018SACLG006.

MLA Handbook (7^{th} Edition):

Champagne, Clara. “Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses.” 2018. Web. 23 Mar 2019.

Vancouver:

Champagne C. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. [Internet] [Doctoral dissertation]. Paris Saclay; 2018. [cited 2019 Mar 23]. Available from: http://www.theses.fr/2018SACLG006.

Council of Science Editors:

Champagne C. Mathematical modeling and statistical inference to better understand arbovirus dynamics : Modélisation mathématique et inférence statistique pour une meilleure compréhension des dynamiques des arboviroses. [Doctoral Dissertation]. Paris Saclay; 2018. Available from: http://www.theses.fr/2018SACLG006

University of Cincinnati

24. Aull, Mark J. Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model.

Degree: MS, Engineering and Applied Science: Aerospace Engineering, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833

► Current diagnostics on most gas turbine engines involve off-line processing only. Since failures can cause serious safety and efficiency problems, such as elevated turbine temperatures…
(more)

Subjects/Keywords: Aerospace Materials; Fault Diagnostics; Gas Turbine; Kalman Filter; Bayesian Network; Fuzzy Logic

Record Details Similar Records

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APA (6^{th} Edition):

Aull, M. J. (2011). Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833

Chicago Manual of Style (16^{th} Edition):

Aull, Mark J. “Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model.” 2011. Masters Thesis, University of Cincinnati. Accessed March 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833.

MLA Handbook (7^{th} Edition):

Aull, Mark J. “Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model.” 2011. Web. 23 Mar 2019.

Vancouver:

Aull MJ. Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model. [Internet] [Masters thesis]. University of Cincinnati; 2011. [cited 2019 Mar 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833.

Council of Science Editors:

Aull MJ. Comparison of Fault Detection Strategies on a Low Bypass Turbofan Engine Model. [Masters Thesis]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321368833

Temple University

25. Ackerman, Samuel. A Probabilistic Characterization of Shark Movement Using Location Tracking Data.

Degree: PhD, 2018, Temple University

URL: http://digital.library.temple.edu/u?/p245801coll10,499173

►

Statistics

Our data consist of measurements of 22 sharks' movements within a 366-acre tidal basin. The measurements are made at irregular time points over a… (more)

Subjects/Keywords: Statistics; Biology; Computer science;

Record Details Similar Records

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

APA (6^{th} Edition):

Ackerman, S. (2018). A Probabilistic Characterization of Shark Movement Using Location Tracking Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,499173

Chicago Manual of Style (16^{th} Edition):

Ackerman, Samuel. “A Probabilistic Characterization of Shark Movement Using Location Tracking Data.” 2018. Doctoral Dissertation, Temple University. Accessed March 23, 2019. http://digital.library.temple.edu/u?/p245801coll10,499173.

MLA Handbook (7^{th} Edition):

Ackerman, Samuel. “A Probabilistic Characterization of Shark Movement Using Location Tracking Data.” 2018. Web. 23 Mar 2019.

Vancouver:

Ackerman S. A Probabilistic Characterization of Shark Movement Using Location Tracking Data. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2019 Mar 23]. Available from: http://digital.library.temple.edu/u?/p245801coll10,499173.

Council of Science Editors:

Ackerman S. A Probabilistic Characterization of Shark Movement Using Location Tracking Data. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,499173

University of Texas – Austin

26.
Bond, Mark Arjun.
Using the *filter*-forward backward sampling algorithm in second-order *Bayesian* latent growth modeling.

Degree: Statistics, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/47132

► In educational and social science research, large-scale testing data are frequently collected longitudinally so that researchers can evaluate change over time. Researchers may then wish…
(more)

Subjects/Keywords: MCMC; Markov chain Monte Carlo; Time series; Autoregression; Bayesian estimation; Latent growth modeling; Kalman filter

Record Details Similar Records

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

APA (6^{th} Edition):

Bond, M. A. (2016). Using the filter-forward backward sampling algorithm in second-order Bayesian latent growth modeling. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47132

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bond, Mark Arjun. “Using the filter-forward backward sampling algorithm in second-order Bayesian latent growth modeling.” 2016. Thesis, University of Texas – Austin. Accessed March 23, 2019. http://hdl.handle.net/2152/47132.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bond, Mark Arjun. “Using the filter-forward backward sampling algorithm in second-order Bayesian latent growth modeling.” 2016. Web. 23 Mar 2019.

Vancouver:

Bond MA. Using the filter-forward backward sampling algorithm in second-order Bayesian latent growth modeling. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2152/47132.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bond MA. Using the filter-forward backward sampling algorithm in second-order Bayesian latent growth modeling. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47132

Not specified: Masters Thesis or Doctoral Dissertation

University of British Columbia

27.
Dou, Yiping.
Dynamic *Bayesian* models for modelling environmental space-time fields
.

Degree: 2008, University of British Columbia

URL: http://hdl.handle.net/2429/634

► This thesis addresses spatial interpolation and temporal prediction using air pollution data by several space-time modelling approaches. Firstly, we implement the dynamic linear modelling (DLM)…
(more)

Subjects/Keywords: Bayesian hierarchical modelling; Kalman filter; Dynamic linear modelling; Bayesian spatial prediction; MCMC algorithm; Gibbs sampling; Wishart distributions; Forward filtering; Backward sampling; Bayesian spatial prediction; Bayesian empirical orthogonal functions; Bayesian spatial prediction methods

Record Details Similar Records

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APA (6^{th} Edition):

Dou, Y. (2008). Dynamic Bayesian models for modelling environmental space-time fields . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/634

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dou, Yiping. “Dynamic Bayesian models for modelling environmental space-time fields .” 2008. Thesis, University of British Columbia. Accessed March 23, 2019. http://hdl.handle.net/2429/634.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dou, Yiping. “Dynamic Bayesian models for modelling environmental space-time fields .” 2008. Web. 23 Mar 2019.

Vancouver:

Dou Y. Dynamic Bayesian models for modelling environmental space-time fields . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2429/634.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dou Y. Dynamic Bayesian models for modelling environmental space-time fields . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/634

Not specified: Masters Thesis or Doctoral Dissertation

Loughborough University

28. Daniyan, Abdullahi. Advanced signal processing techniques for multi-target tracking.

Degree: PhD, 2018, Loughborough University

URL: https://dspace.lboro.ac.uk/2134/35277 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763466

► The multi-target tracking problem essentially involves the recursive joint estimation of the state of unknown and time-varying number of targets present in a tracking scene,…
(more)

Subjects/Keywords: Target tracking; Bayesian inference; Bayesian estimation; Signal Processing; Kalman filter; Random finite sets; RFS; Particle filter; PHD filter; Probability hypothesis filter; CPHD filter; Sequential Monte Carlo; Game theory; Regret matching; Correlated equilibrium; Passive radar; Statistical signal processing; Probability; GLMB; Labelled random finite sets; Kalman gain; Poisson mixture; B-spline

Record Details Similar Records

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

APA (6^{th} Edition):

Daniyan, A. (2018). Advanced signal processing techniques for multi-target tracking. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/35277 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763466

Chicago Manual of Style (16^{th} Edition):

Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Doctoral Dissertation, Loughborough University. Accessed March 23, 2019. https://dspace.lboro.ac.uk/2134/35277 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763466.

MLA Handbook (7^{th} Edition):

Daniyan, Abdullahi. “Advanced signal processing techniques for multi-target tracking.” 2018. Web. 23 Mar 2019.

Vancouver:

Daniyan A. Advanced signal processing techniques for multi-target tracking. [Internet] [Doctoral dissertation]. Loughborough University; 2018. [cited 2019 Mar 23]. Available from: https://dspace.lboro.ac.uk/2134/35277 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763466.

Council of Science Editors:

Daniyan A. Advanced signal processing techniques for multi-target tracking. [Doctoral Dissertation]. Loughborough University; 2018. Available from: https://dspace.lboro.ac.uk/2134/35277 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763466

Texas A&M University

29.
Lee, Deok-Jin.
Nonlinear *bayesian* filtering with applications to estimation and navigation.

Degree: 2005, Texas A&M University

URL: http://hdl.handle.net/1969.1/2269

► In principle, general approaches to optimal nonlinear filtering can be described in a unified way from the recursive *Bayesian* approach. The central idea to this…
(more)

Subjects/Keywords: statistical nonlinear filtering; estimation and navigation; Bayesian filter

Record Details Similar Records

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APA (6^{th} Edition):

Lee, D. (2005). Nonlinear bayesian filtering with applications to estimation and navigation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2269

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Lee, Deok-Jin. “Nonlinear bayesian filtering with applications to estimation and navigation.” 2005. Thesis, Texas A&M University. Accessed March 23, 2019. http://hdl.handle.net/1969.1/2269.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Deok-Jin. “Nonlinear bayesian filtering with applications to estimation and navigation.” 2005. Web. 23 Mar 2019.

Vancouver:

Lee D. Nonlinear bayesian filtering with applications to estimation and navigation. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1969.1/2269.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee D. Nonlinear bayesian filtering with applications to estimation and navigation. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2269

Not specified: Masters Thesis or Doctoral Dissertation

University of Exeter

30. Christmas, Jacqueline. Robust spatio-temporal latent variable models.

Degree: PhD, 2011, University of Exeter

URL: http://hdl.handle.net/10036/3051

► Principal Component Analysis (PCA) and Canonical Correlation Analysis (CCA) are widely-used mathematical models for decomposing multivariate data. They capture spatial relationships between variables, but ignore…
(more)

Subjects/Keywords: 005.3; Bayesian inference : variational approximation : Student-t : Principal Component Analysis : autoregression : Canonical Correlation Analysis : Kalman filter/smoother

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

APA (6^{th} Edition):

Christmas, J. (2011). Robust spatio-temporal latent variable models. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10036/3051

Chicago Manual of Style (16^{th} Edition):

Christmas, Jacqueline. “Robust spatio-temporal latent variable models.” 2011. Doctoral Dissertation, University of Exeter. Accessed March 23, 2019. http://hdl.handle.net/10036/3051.

MLA Handbook (7^{th} Edition):

Christmas, Jacqueline. “Robust spatio-temporal latent variable models.” 2011. Web. 23 Mar 2019.

Vancouver:

Christmas J. Robust spatio-temporal latent variable models. [Internet] [Doctoral dissertation]. University of Exeter; 2011. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10036/3051.

Council of Science Editors:

Christmas J. Robust spatio-temporal latent variable models. [Doctoral Dissertation]. University of Exeter; 2011. Available from: http://hdl.handle.net/10036/3051