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You searched for `+publisher:"Brown University" +contributor:("Ramanan, Kavita")`

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Showing records 1 – 11 of
11 total matches.

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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

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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 29, 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. 29 Oct 2020.

Vancouver:

Cai Y. Analysis of An Interacting Particle Method for Rare Event Estimation. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 29]. 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. Aghajani, Mohammadreza. Infinite-Dimensional Scaling Limits of Stochastic Networks.

Degree: PhD, Applied Mathematics, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:674202/

► Large-scale stochastic networks arise in a variety of real world applications such as telecommunications, service systems, computer networks, health care, and biological systems. Such networks…
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Subjects/Keywords: Stochastic Networks

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APA (6^{th} Edition):

Aghajani, M. (2016). Infinite-Dimensional Scaling Limits of Stochastic Networks. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674202/

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

Aghajani, Mohammadreza. “Infinite-Dimensional Scaling Limits of Stochastic Networks.” 2016. Doctoral Dissertation, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:674202/.

MLA Handbook (7^{th} Edition):

Aghajani, Mohammadreza. “Infinite-Dimensional Scaling Limits of Stochastic Networks.” 2016. Web. 29 Oct 2020.

Vancouver:

Aghajani M. Infinite-Dimensional Scaling Limits of Stochastic Networks. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:674202/.

Council of Science Editors:

Aghajani M. Infinite-Dimensional Scaling Limits of Stochastic Networks. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674202/

3. Lee, Chia Ying. Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus.

Degree: PhD, Applied Mathematics, 2011, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:11267/

► This thesis studies the application of the Wiener chaos expansion in the analysis of stochastic partial differential equations (SPDEs). Specifically, linear parabolic SPDEs and the…
(more)

Subjects/Keywords: Wiener chaos expansion

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

APA (6^{th} Edition):

Lee, C. Y. (2011). Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11267/

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

Lee, Chia Ying. “Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus.” 2011. Doctoral Dissertation, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11267/.

MLA Handbook (7^{th} Edition):

Lee, Chia Ying. “Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus.” 2011. Web. 29 Oct 2020.

Vancouver:

Lee CY. Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11267/.

Council of Science Editors:

Lee CY. Effective approximations of stochastic partial differential equations based on Wiener chaos expansions and the Malliavin calculus. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11267/

4. 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…
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Subjects/Keywords: empirical measure

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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 29, 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. 29 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 29]. 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/

5. 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

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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 29, 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. 29 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 29]. 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

6. Loper, Jackson Hoy. Theory and Computation for Modern Probabilistic Models.

Degree: Department of Applied Mathematics, 2017, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:733424/

► Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces…
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Subjects/Keywords: Machine Learning

Record Details Similar Records

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APA (6^{th} Edition):

Loper, J. H. (2017). Theory and Computation for Modern Probabilistic Models. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733424/

Not specified: Masters Thesis or Doctoral Dissertation

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

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Thesis, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:733424/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Web. 29 Oct 2020.

Vancouver:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/

Not specified: Masters Thesis or Doctoral Dissertation

7. 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

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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 29, 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. 29 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 29]. 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/

8. 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

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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 29, 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. 29 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 29]. 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/

9. Klobusicky, Joe J. Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386230/

► The subject of this thesis is the development of a stochastic process that can be interpreted as a model of grain coarsening, a central problem…
(more)

Subjects/Keywords: grain coarsening

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

APA (6^{th} Edition):

Klobusicky, J. J. (2014). Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386230/

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

Klobusicky, Joe J. “Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening.” 2014. Doctoral Dissertation, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:386230/.

MLA Handbook (7^{th} Edition):

Klobusicky, Joe J. “Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening.” 2014. Web. 29 Oct 2020.

Vancouver:

Klobusicky JJ. Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:386230/.

Council of Science Editors:

Klobusicky JJ. Kinetic Limits of Piecewise Deterministic Markov Processes and Grain Boundary Coarsening. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386230/

10. Setayeshgar, Leila. Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297528/

► This thesis considers a feed-forward network with a single server station serving jobs with multiple levels of priority. The service discipline is preemptive in that…
(more)

Subjects/Keywords: Weak Convergence

Record Details Similar Records

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

APA (6^{th} Edition):

Setayeshgar, L. (2012). Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297528/

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

Setayeshgar, Leila. “Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue.” 2012. Doctoral Dissertation, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:297528/.

MLA Handbook (7^{th} Edition):

Setayeshgar, Leila. “Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue.” 2012. Web. 29 Oct 2020.

Vancouver:

Setayeshgar L. Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:297528/.

Council of Science Editors:

Setayeshgar L. Large Deviations for a Feed-forward Network & Importance Sampling for a Single Server Priority Queue. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297528/

11. Li, Zhongyang. Vertex Models, Ising Models and Fisher Graphs.

Degree: PhD, Mathematics, 2011, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:11314/

► In Chapter 1, we study planar ``vertex'' models, which are probability measures onedge subsets of a planar graph, satisfying certain constraints ateach vertex, examples including…
(more)

Subjects/Keywords: Local Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Li, Z. (2011). Vertex Models, Ising Models and Fisher Graphs. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11314/

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

Li, Zhongyang. “Vertex Models, Ising Models and Fisher Graphs.” 2011. Doctoral Dissertation, Brown University. Accessed October 29, 2020. https://repository.library.brown.edu/studio/item/bdr:11314/.

MLA Handbook (7^{th} Edition):

Li, Zhongyang. “Vertex Models, Ising Models and Fisher Graphs.” 2011. Web. 29 Oct 2020.

Vancouver:

Li Z. Vertex Models, Ising Models and Fisher Graphs. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2020 Oct 29]. Available from: https://repository.library.brown.edu/studio/item/bdr:11314/.

Council of Science Editors:

Li Z. Vertex Models, Ising Models and Fisher Graphs. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11314/