Results 1  10
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2,462
Prior distributions for variance parameters in hierarchical models
 Bayesian Analysis
, 2006
"... Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new foldednoncentralt family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative priors i ..."
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Cited by 430 (15 self)
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Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new foldednoncentralt family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative priors
Flocking for MultiAgent Dynamic Systems: Algorithms and Theory
, 2006
"... In this paper, we present a theoretical framework for design and analysis of distributed flocking algorithms. Two cases of flocking in freespace and presence of multiple obstacles are considered. We present three flocking algorithms: two for freeflocking and one for constrained flocking. A compre ..."
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Cited by 436 (2 self)
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fragmentation, whereas the second and third algorithms both lead to flocking. A systematic method is provided for construction of cost functions (or collective potentials) for flocking. These collective potentials penalize deviation from a class of latticeshape objects called αlattices. We use a multi
Monetary Policy Rules Based on RealTime Data
 BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM FINANCE AND ECONOMICS DISCUSSION PAPER SERIES
, 1997
"... In recent years, simple policy rules have received attention as a means to a more transparent and effective monetary policy. Often, however, the analysis is based on unrealistic assumptions about the timeliness of data availability. This permits rule specifications that are not operational and ignor ..."
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Cited by 431 (18 self)
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and ignore difficulties associated with data revisions. This paper examines the magnitude of these informational problems using Taylor's rule as an example. First, I construct a database of current quarter estimates/forecasts of the quantities required by the rule based only on information available
DEVIATION
, 2013
"... In statistics it is of interest to find a better interval estimator of the absolute mean deviation. In this thesis, we focus on using the jackknife, the adjusted and the extended jackknife empirical likelihood methods to construct confidence intervals for the mean absolute deviation θ of a random va ..."
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In statistics it is of interest to find a better interval estimator of the absolute mean deviation. In this thesis, we focus on using the jackknife, the adjusted and the extended jackknife empirical likelihood methods to construct confidence intervals for the mean absolute deviation θ of a random
Oligopolistic Pricing and the Effects of Aggregate Demand on Economic Activity
 Journal of Political Economy
, 1992
"... We construct a dynamic general equilibrium model in which the typical industry colludes by threatening to punish deviations from an implicitly agreed upon pricing path. We argue that models of this type explain better than do competitive models the way in which the economy responds to aggregate dema ..."
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Cited by 263 (7 self)
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We construct a dynamic general equilibrium model in which the typical industry colludes by threatening to punish deviations from an implicitly agreed upon pricing path. We argue that models of this type explain better than do competitive models the way in which the economy responds to aggregate
Texture mapping progressive meshes
, 2001
"... Given an arbitrary mesh, we present a method to construct a progressive mesh (PM) such that all meshes in the PM sequence share a common texture parametrization. Our method considers two important goals simultaneously. It minimizes texture stretch (small texture distances mapped onto large surface d ..."
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Cited by 251 (7 self)
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Given an arbitrary mesh, we present a method to construct a progressive mesh (PM) such that all meshes in the PM sequence share a common texture parametrization. Our method considers two important goals simultaneously. It minimizes texture stretch (small texture distances mapped onto large surface
Trapdoors for Hard Lattices and New Cryptographic Constructions
, 2007
"... We show how to construct a variety of “trapdoor ” cryptographic tools assuming the worstcase hardness of standard lattice problems (such as approximating the shortest nonzero vector to within small factors). The applications include trapdoor functions with preimage sampling, simple and efficient “ha ..."
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Cited by 191 (26 self)
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We show how to construct a variety of “trapdoor ” cryptographic tools assuming the worstcase hardness of standard lattice problems (such as approximating the shortest nonzero vector to within small factors). The applications include trapdoor functions with preimage sampling, simple and efficient
Wavelet Threshold Estimators for Data With Correlated Noise
, 1994
"... Wavelet threshold estimators for data with stationary correlated noise are constructed by the following prescription. First, form the discrete wavelet transform of the data points. Next, apply a leveldependent soft threshold to the individual coefficients, allowing the thresholds to depend on the l ..."
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Cited by 240 (15 self)
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Wavelet threshold estimators for data with stationary correlated noise are constructed by the following prescription. First, form the discrete wavelet transform of the data points. Next, apply a leveldependent soft threshold to the individual coefficients, allowing the thresholds to depend
Deviation Analysis
, 1999
"... : The two general data analytic questions of subgroup mining (B2.2) deal with deviations and associations (C5.2.3, C5.2.4). A deviation pattern describes a deviating behavior (distribution) of a target variable in a subgroup. Target variable and behavior type are selected by the analyst for an indiv ..."
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an uninteresting, not deviating subgroup. Search for deviating subgroups is organized in two phases. In a first brute force search, different search heuristics can be applied to find a set of deviating subgroups. In a second refinement phase, redundancy elimination operators construct a best system of subgroups
Importance sampling, large deviations, and differential games
 Stoch. and Stoch. Reports
"... A heuristic that has emerged in the area of importance sampling is that the changes of measure used to prove large deviation lower bounds give good performance when used for importance sampling. Recent work, however, has suggested that the heuristic is incorrect in many situations. The perspective p ..."
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Cited by 69 (18 self)
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. The result indicates that an adaptive change of measure, rather than a static change of measure, is what the large deviations analysis truly suggests. The proofs utilize a controltheoretic approach to large deviations, which naturally leads to the construction of asymptotically optimal adaptive schemes
Results 1  10
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