Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Srikanth K. Iyer"'
Publikováno v:
Statistica, Vol 76, Iss 4, Pp 327-339 (2016)
We are interested in estimating the distribution of lifetimes, also called survival times, subject to a general censoring scheme called ``middle censoring'' (see Jammalamadaka and Mangalam (2003)). Both the Cox proportional hazards (Cox PH) and accel
Externí odkaz:
https://doaj.org/article/99235bd358a04e46b141186c35c13752
Autor:
Rahul Vaze, Srikanth K. Iyer
Publikováno v:
IEEE Transactions on Wireless Communications. 18:1490-1503
In this paper, a tractable model of cellular wireless networks is considered, where both the basestation (BS) and mobile user (MU) locations are distributed as independent Poisson point processes, and each MU connects to its nearest BS. Each packet f
Autor:
D. Yogeshwaran, Srikanth K. Iyer
Publikováno v:
Ann. Inst. H. Poincaré Probab. Statist. 56, no. 3 (2020), 1869-1897
Nous etudions la connectivite combinatoire pour deux modeles de complexes geometriques aleatoires. Ces deux modeles – les complexes de $\v{C}$ech et de Vietoris–Rips – sont construits sur la base d’un processus de Poisson homogene d’intensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c19f64ccd8baf0a0bb5997a9a33ce18
https://projecteuclid.org/euclid.aihp/1593137312
https://projecteuclid.org/euclid.aihp/1593137312
Autor:
Sanjoy Kr. Jhawar, Srikanth K. Iyer
We study an inhomogeneous random connection model in the connectivity regime. The vertex set of the graph is a homogeneous Poisson point process $\mathcal{P}_s$ of intensity $s>0$ on the unit cube $S=\left(-\frac{1}{2},\frac{1}{2}\right]^{d},$ $d \ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ebf705528ecd2f6599a15660bd520bf
Autor:
Srikanth K. Iyer
Publikováno v:
Random Structures & Algorithms. 52:283-300
Consider the random graph G(Pn,r) whose vertex set Pn is a Poisson point process of intensity n on (-12,12]d,d2. Any two vertices Xi,XjPn are connected by an edge with probability g(d(Xi,Xj)r), independently of all other edges, and independent of the
Publikováno v:
Communications in Statistics-Theory and Methods, vol 46, iss 5
Communication in Statistics-Theory and Methods, vol 46, iss 5
Communication in Statistics-Theory and Methods, vol 46, iss 5
We consider the problem of estimating the lifetime distributions of survival times subject to a general censoring scheme called ``middle censoring''. The lifetimes are assumed to follow a parametric family of distributions, such as the Gamma or Weibu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbfb783f53608a2cda151bf824f4ba7d
https://escholarship.org/uc/item/4sg7436x
https://escholarship.org/uc/item/4sg7436x
Many animal groups are heterogeneous and may even consist of individuals of different species, called mixed-species flocks. Mathematical and computational models of collective animal movement behaviour, however, typically assume that groups and popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65f14d771036911c6d4a23b96cf7281
Publikováno v:
Asia-Pacific Financial Markets. 20:243-259
We conduct an empirical comparison of hedging strategies for two different stochastic volatility models proposed in the literature. One is an asymptotic expansion approach and the other is the risk-minimizing approach applied to a Markov-switched geo
Autor:
D. Yogeshwaran, Srikanth K. Iyer
Publikováno v:
[Research Report] 2009
Adv. in Appl. Probab. 44, no. 1 (2012), 21-41
Adv. in Appl. Probab. 44, no. 1 (2012), 21-41
Given two independent Poisson point processes $\Phi^{(1)},\Phi^{(2)}$ in $R^d$, the continuum AB percolation model is the graph with points of $\Phi^{(1)}$ as vertices and with edges between any pair of points for which the intersection of balls of r
Autor:
Srikanth K. Iyer, Tamal Banerjee
Publikováno v:
Stochastics. 85:98-110
We study coverage in sensor networks having two types of nodes, namely, sensor nodes and backbone nodes. Each sensor is capable of transmitting information over relatively small distances. The backbone nodes collect information from the sensors. This