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7,598
A Performance Comparison of MultiHop Wireless Ad Hoc Network Routing Protocols
, 1998
"... An ad hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any existing network infrastructure or centralized administration. Due to the limited transmission range of wireless network interfaces, multiple network "hops " ma ..."
Abstract

Cited by 1819 (25 self)
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An ad hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any existing network infrastructure or centralized administration. Due to the limited transmission range of wireless network interfaces, multiple network "hops &
Dynamic source routing in ad hoc wireless networks
 Mobile Computing
, 1996
"... An ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any established infrastructure or centralized administration. In such an environment, it may be necessary for one mobile host to enlist the aid of other hosts in forwarding a packet to its desti ..."
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Cited by 3108 (31 self)
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An ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any established infrastructure or centralized administration. In such an environment, it may be necessary for one mobile host to enlist the aid of other hosts in forwarding a packet to its
Verbal reports as data
 Psychological Review
, 1980
"... The central proposal of this article is that verbal reports are data. Accounting for verbal reports, as for other kinds of data, requires explication of the mechanisms by which the reports are generated, and the ways in which they are sensitive to experimental factors (instructions, tasks, etc.). W ..."
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Cited by 513 (3 self)
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The central proposal of this article is that verbal reports are data. Accounting for verbal reports, as for other kinds of data, requires explication of the mechanisms by which the reports are generated, and the ways in which they are sensitive to experimental factors (instructions, tasks, etc
Hydrodynamical Limits for Epidemic Models
"... Hydrodynamical limits of a spatial epidemic model are studied through the representation of the process as a projection of a higher dimensional Poisson process. The standardized process (I n (t)) of infected individuals in a box of volume one at time t converges to a deterministic process (I(t)). Mo ..."
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Numbers and Central Limit Theorem type results for the density process of infected individual...
"Random" Random Matrix Products
"... . The paper deals with compositions of independent random bundle maps whose distributions form a stationary process which leads to study of Markov processes in random environments. A particular case of this situation is a product of independent random matrices with stationarily changing distribution ..."
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Cited by 1 (1 self)
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distributions. I obtain results concerning invariant ltrations for such systems, positivity and simplicity of the largest Lyapunov exponent, as well as the central limit theorem type results. An application to random harmonic functions and measures is also considered. Continuous time versions of these results
HOMOGENIZATION AND TWOSCALE CONVERGENCE
, 1992
"... Following an idea of G. Nguetseng, the author defines a notion of "twoscale" convergence, which is aimed at a better description of sequences of oscillating functions. Bounded sequences in L2(f) are proven to be relatively compact with respect to this new type of convergence. A corrector ..."
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Cited by 451 (14 self)
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theorem (i.e., which permits, in some cases, replacing a sequence by its "twoscale " limit, up to a strongly convergent remainder in L2(12)) is also established. These results are especially useful for the homogenization of partial differential equations with periodically oscillating
Microeconomic Origins of Macroeconomic Tail Risks
, 2014
"... We document that even though the normal distribution is a good approximation to the nature of aggregate fluctuations, it severely underpredicts the frequency of large economic downturns. We then provide a model that can explain these facts simultaneously. Our model shows that the propagation of mic ..."
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output linkages (where some sectors or firms play a much more important role than others as inputs suppliers to the rest of the economy) may exhibit deep recessions as frequently as economies that are subject to heavytailed shocks. This is despite the fact that a central limit theoremtype result would imply
MODGAUSSIAN CONVERGENCE AND ITS APPLICATIONS FOR MODELS OF STATISTICAL MECHANICS
"... ABSTRACT. In this paper we complete our understanding of the role played by the limiting (or residue) function in the context of modGaussian convergence. The question about the probabilistic interpretation of such functions was initially raised by Marc Yor. After recalling our recent result which ..."
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interprets the limiting function as a measure of "breaking of symmetry " in the Gaussian approximation in the framework of general central limit theorems type results, we introduce the framework of L1modGaussian convergence in which the residue function is obtained as (up to a normalizing factor
Decay of Correlations
, 1993
"... this paper I describe a technique, originally due to G. Birkhoff [9], [10], that permits a direct study of the PerronFrobenius operator, and I show that its field of applicability is wider than that of Markov partitions. In essence, it is possible to construct systematically metrics (Hilbert metric ..."
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Cited by 93 (13 self)
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the technique works in the simplest example: a one dimensional uniformly hyperbolic map. It also mentions other consequences that can be obtained (e.g. Central Limit Theorem type results). In sections 3 I show how to extend the approach to the multidimensional casethe smooth case is trea...
Optimal stopping and strong approximation theorems
, 2006
"... Strong approximation theorems known also as (strong) invariance principles provide uniform (in time) almost sure or in average approximations (as opposed to the convergence in distribution) in the central limit theorem type results which is done by redefining in certain ways corresponding random v ..."
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Cited by 7 (2 self)
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Strong approximation theorems known also as (strong) invariance principles provide uniform (in time) almost sure or in average approximations (as opposed to the convergence in distribution) in the central limit theorem type results which is done by redefining in certain ways corresponding random
Results 1  10
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7,598