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16,030
An Empirical Characterization of the Dynamic Effects of changes in Government Spending and Taxes on Output
 QUARTERLY JOURNAL OF ECONOMICS
, 2002
"... This paper characterizes the dynamic effects of shocks in government spending and taxes on U. S. activity in the postwar period. It does so by using a mixed structural VAR/event study approach. Identification is achieved by using institutional information about the tax and transfer systems to identi ..."
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Cited by 664 (9 self)
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This paper characterizes the dynamic effects of shocks in government spending and taxes on U. S. activity in the postwar period. It does so by using a mixed structural VAR/event study approach. Identification is achieved by using institutional information about the tax and transfer systems
The SmallWorld Phenomenon: An Algorithmic Perspective
 in Proceedings of the 32nd ACM Symposium on Theory of Computing
, 2000
"... Long a matter of folklore, the “smallworld phenomenon ” — the principle that we are all linked by short chains of acquaintances — was inaugurated as an area of experimental study in the social sciences through the pioneering work of Stanley Milgram in the 1960’s. This work was among the first to m ..."
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Cited by 824 (5 self)
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algorithm capable of finding short paths with high probability. More generally, we provide a strong characterization of this family of network models, showing that there is in fact a unique model within the family for which decentralized algorithms are effective.
Functional discovery via a compendium of expression profiles.
 Cell,
, 2000
"... provided that the cellular transcriptional response to frames encode proteins required for sterol metabodisruption of different steps in the same pathway is lism, cell wall function, mitochondrial respiration, or similar, and that there are sufficiently unique transcripprotein synthesis. We also sh ..."
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Cited by 547 (9 self)
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show that the compendium tional responses to the perturbation of most cellular can be used to characterize pharmacological perturpathways, systematic characterization of novel mutants bations by identifying a novel target of the commonly could be carried out with a single genomewide expresused drug
Bayesian Network Classifiers
, 1997
"... Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competitive with stateoftheart classifiers such as C4.5. This fact raises the question of whether a classifier with less restr ..."
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Cited by 796 (20 self)
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Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competitive with stateoftheart classifiers such as C4.5. This fact raises the question of whether a classifier with less
Strong characterizing sequences of countable groups
, 2003
"... András Biró and Vera Sós prove that for any subgroup G of T generated freely by finitely many generators there is a sequence A ⊆ N such that for all β ∈ T we have (‖. ‖ denotes the distance to the nearest integer) β ∈ G ⇒ ∑ ‖nβ ‖ < ∞, β / ∈ G ⇒ lim sup ‖nβ ‖> 0. n∈A,n→∞ n∈A We extend this resu ..."
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Cited by 4 (2 self)
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this result to arbitrary countable subgroups of T. We also show that not only the sum of norms but the sum of arbitrary small powers of these norms can be kept small. Our proof combines ideas from the above article with new methods, involving a filter characterization of subgroups of T. Key words
Strong characterizing sequences of countable groups
"... Andras Biro and Vera Sos prove that for any subgroup G of T generated freely by nitely many generators there is a sequence A N such that for all 2 T we have (k:k denotes the distance to the nearest integer) 2 G) X n2A kn k < 1; =2 G) lim sup n2A;n!1 kn k> 0: We extend this result to arbitra ..."
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to arbitrary countable subgroups of T. We also show that not only the sum of norms but the sum of arbitrary small powers of these norms can be kept small. Our proof combines ideas from the above article with new methods, involving a lter characterization of subgroups of T. Key words: Characterizing sequences
Measuring the information content of stock trades
 Journal of Finance
, 1991
"... This paper suggests that the interactions of security trades and quote revisions be modeled as a vector autoregressive system. Within this framework, a trade's information effect may be meaningfully measured as the ultimate price impact of the trade innovation. Estimates for a sample of NYSE is ..."
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Cited by 469 (11 self)
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of the price impact on these factors, which may be referred to as the extent of the information asymmetry, provides a strong motivation for the empirical determination of this impact. This paper strives to achieve such a determination in a framework that is robust to deviations from the assumptions
Mining δstrong Characterization Rules in Large SAGE Data
"... Abstract. SAGE data provide the levelexpression of a large amount of genes and few biological situations. Geometrical dimensions of such context make difficult the running of data mining methods. In this paper, we propose a new method to extract all the δstrong characterization rules in large data ..."
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Cited by 1 (0 self)
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Abstract. SAGE data provide the levelexpression of a large amount of genes and few biological situations. Geometrical dimensions of such context make difficult the running of data mining methods. In this paper, we propose a new method to extract all the δstrong characterization rules in large
Automatic linguistic indexing of pictures by a statistical modeling approach
 PAMI
"... Automatic linguistic indexing of pictures is an important but highly challenging problem for researchers in computer vision and contentbased image retrieval. In this paper, we introduce a statistical modeling approach to this problem. Categorized images are used to train a dictionary of hundreds of ..."
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Cited by 300 (25 self)
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on the characterizing stochastic process is computed. A high likelihood indicates a strong association. In our experimental implementation, we focus on a particular group of stochastic processes, that is, the twodimensional multiresolution hidden Markov models (2D MHMMs). We implemented and tested our ALIP (Automatic
Hardness vs. randomness
 JOURNAL OF COMPUTER AND SYSTEM SCIENCES
, 1994
"... We present a simple new construction of a pseudorandom bit generator, based on the constant depth generators of [N]. It stretches a short string of truly random bits into a long string that looks random to any algorithm from a complexity class C (eg P, NC, PSPACE,...) using an arbitrary function tha ..."
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Cited by 298 (27 self)
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much weaker assumptions than previously known. The efficiency of the simulations depends on the strength of the assumptions, and may achieve P =BPP. We believe that our results are very strong evidence that the gap between randomized and deterministic complexity is not large. Using the known lower
Results 1  10
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16,030