Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `+publisher:"Brown University" +contributor:("Dupuis, Paul")`

.
Showing records 1 – 7 of
7 total matches.

▼ Search Limiters

1. Cai, Yi. Analysis of An Interacting Particle Method for Rare Event Estimation.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297522/

► This thesis is a large deviations study for the performance of an interacting particle method for rare event estimation. The analysis is restricted to a…
(more)

Subjects/Keywords: interacting particle system

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Cai, Y. (2012). Analysis of An Interacting Particle Method for Rare Event Estimation. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297522/

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

Cai, Yi. “Analysis of An Interacting Particle Method for Rare Event Estimation.” 2012. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:297522/.

MLA Handbook (7^{th} Edition):

Cai, Yi. “Analysis of An Interacting Particle Method for Rare Event Estimation.” 2012. Web. 20 Oct 2020.

Vancouver:

Cai Y. Analysis of An Interacting Particle Method for Rare Event Estimation. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:297522/.

Council of Science Editors:

Cai Y. Analysis of An Interacting Particle Method for Rare Event Estimation. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297522/

2. Chowdhary, Kamaljit. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297521/

► This dissertation is divided into two separate parts. In Part I, we develop methods to obtain information on a system when the distributions of some…
(more)

Subjects/Keywords: uncertainty quantification

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Chowdhary, K. (2012). Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297521/

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

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:297521/.

MLA Handbook (7^{th} Edition):

Chowdhary, Kamaljit. “Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements.” 2012. Web. 20 Oct 2020.

Vancouver:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/.

Council of Science Editors:

Chowdhary K. Distinguishing and Integrating Aleatoric and Epistemic Variation in Uncertainty Quantification/ Sparse Gradient Image Reconstruction from Fourier and Edge Measurements. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297521/

3. Johnson, Dane Michael. Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms.

Degree: PhD, Applied Mathematics, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419359/

► We prove a moderate deviations principle for the continuous time linear interpolation of discrete time recursive stochastic processes, and then investigate importance sampling schemes based…
(more)

Subjects/Keywords: Weak Convergence

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Johnson, D. M. (2015). Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419359/

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

Johnson, Dane Michael. “Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms.” 2015. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:419359/.

MLA Handbook (7^{th} Edition):

Johnson, Dane Michael. “Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms.” 2015. Web. 20 Oct 2020.

Vancouver:

Johnson DM. Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:419359/.

Council of Science Editors:

Johnson DM. Moderate Deviations and Subsolution-Based Importance Sampling for Recursive Stochastic Algorithms. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419359/

4. Kim, Steven Soon. Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes.

Degree: Department of Applied Mathematics, 2017, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:733380/

► Convex sets in high-dimensional linear spaces are classical objects of study that have long enjoyed rich connections with probability theory. Interest in these connections has…
(more)

Subjects/Keywords: Applied mathematics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Kim, S. S. (2017). Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733380/

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):

Kim, Steven Soon. “Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes.” 2017. Thesis, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:733380/.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kim, Steven Soon. “Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes.” 2017. Web. 20 Oct 2020.

Vancouver:

Kim SS. Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:733380/.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim SS. Problems at the Interface of Probability and Convex Geometry: Random Projections and Constrained Processes. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733380/

Not specified: Masters Thesis or Doctoral Dissertation

5. Leder, Kevin Z. Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies.

Degree: PhD, Applied Mathematics, 2008, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:271/

► The first two thirds of this thesis are concerned with the properties of a single server using the weighted-serve-the-longest queue policy (WSLQ). It addresses three…
(more)

Subjects/Keywords: Importance Sampling

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Leder, K. Z. (2008). Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:271/

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

Leder, Kevin Z. “Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies.” 2008. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:271/.

MLA Handbook (7^{th} Edition):

Leder, Kevin Z. “Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies.” 2008. Web. 20 Oct 2020.

Vancouver:

Leder KZ. Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies. [Internet] [Doctoral dissertation]. Brown University; 2008. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:271/.

Council of Science Editors:

Leder KZ. Large Deviations and Importance Sampling for Queuing Systems with Discontinuous Service Policies. [Doctoral Dissertation]. Brown University; 2008. Available from: https://repository.library.brown.edu/studio/item/bdr:271/

6. Liu, Yufei. Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo.

Degree: PhD, Applied Mathematics, 2013, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:320522/

► In this thesis, we use the large deviations principle to characterize the rate of convergence of the empirical measures of Markov processes. An explicit formula…
(more)

Subjects/Keywords: empirical measure

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Liu, Y. (2013). Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:320522/

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

Liu, Yufei. “Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo.” 2013. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:320522/.

MLA Handbook (7^{th} Edition):

Liu, Yufei. “Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo.” 2013. Web. 20 Oct 2020.

Vancouver:

Liu Y. Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo. [Internet] [Doctoral dissertation]. Brown University; 2013. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:320522/.

Council of Science Editors:

Liu Y. Large Deviations Rate Functions for the Empirical Measure: Explicit Formulas and an Application to Monte Carlo. [Doctoral Dissertation]. Brown University; 2013. Available from: https://repository.library.brown.edu/studio/item/bdr:320522/

7. Wu, Wei. Large deviations and quasipotential for finite state mean field interacting particle systems.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386248/

► We study a general class of mean field interacting particle systems with a finite state space. Particles evolve as exchangeable jump Markov processes, where finite…
(more)

Subjects/Keywords: interacting particle systems

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Wu, W. (2014). Large deviations and quasipotential for finite state mean field interacting particle systems. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386248/

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

Wu, Wei. “Large deviations and quasipotential for finite state mean field interacting particle systems.” 2014. Doctoral Dissertation, Brown University. Accessed October 20, 2020. https://repository.library.brown.edu/studio/item/bdr:386248/.

MLA Handbook (7^{th} Edition):

Wu, Wei. “Large deviations and quasipotential for finite state mean field interacting particle systems.” 2014. Web. 20 Oct 2020.

Vancouver:

Wu W. Large deviations and quasipotential for finite state mean field interacting particle systems. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:386248/.

Council of Science Editors:

Wu W. Large deviations and quasipotential for finite state mean field interacting particle systems. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386248/