Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Kavita Ramanan"'
Publikováno v:
Stochastic Processes and their Applications. 140:81-114
We consider a countable system of interacting (possibly non-Markovian) stochastic differential equations driven by independent Brownian motions and indexed by the vertices of a locally finite graph G = ( V , E ) . The drift of the process at each ver
Autor:
Kavita Ramanan
Publikováno v:
Queueing Systems. 100:345-347
Autor:
Reza Aghajani, Kavita Ramanan
Publikováno v:
Mathematics of Operations Research. 45:1016-1055
We consider the so-called GI/GI/N queue, in which a stream of jobs with independent and identically distributed service times arrive as a renewal process to a common queue that is served by [Formula: see text] identical parallel servers in a first-co
Publikováno v:
Mathematics of Control, Signals, and Systems. 31:279-332
We study a sequence of many-agent exit time stochastic control problems, parameterized by the number of agents, with risk-sensitive cost structure. We identify a fully characterizing assumption, under which each such control problem corresponds to a
Autor:
Kavita Ramanan, Daniel Lacker
Publikováno v:
Mathematics of Operations Research. 44:400-422
We study a static game played by a finite number of agents, in which agents are assigned independent and identically distributed random types and each agent minimizes its objective function by choosing from a set of admissible actions that depends on
Autor:
Kavita Ramanan, Steven Soojin Kim
Publikováno v:
Journal of Applied Probability. 55:1060-1077
The study of high-dimensional distributions is of interest in probability theory, statistics, and asymptotic convex geometry, where the object of interest is the uniform distribution on a convex set in high dimensions. The ℓp-spaces and norms are o
Publikováno v:
Notices of the American Mathematical Society. 69:1
The hardcore model on a graph $G$ with parameter $\lambda>0$ is a probability measure on the collection of all independent sets of $G$, that assigns to each independent set $I$ a probability proportional to $\lambda^{|I|}$. In this paper we consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9285e0177714dba8d0b1e6327ec6448
http://arxiv.org/abs/2008.09925
http://arxiv.org/abs/2008.09925
Publikováno v:
Electron. J. Probab.
We establish large deviation principles (LDPs) for empirical measures associated with a sequence of Gibbs distributions on $n$-particle configurations, each of which is defined in terms of an inverse temperature $\beta _{n}$ and an energy functional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda458e51b2aa32653699e91f729c3e6
https://projecteuclid.org/euclid.ejp/1587693777
https://projecteuclid.org/euclid.ejp/1587693777
Publikováno v:
Notices of the American Mathematical Society. 64:437-442