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1,378
Testing for Common Trends
 Journal of the American Statistical Association
, 1988
"... Cointegrated multiple time series share at least one common trend. Two tests are developed for the number of common stochastic trends (i.e., for the order of cointegration) in a multiple time series with and without drift. Both tests involve the roots of the ordinary least squares coefficient matrix ..."
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Cited by 464 (7 self)
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has k unit roots and n k distinct stationary linear combinations. Our proposed tests can be viewed alternatively as tests of the number of common trends, linearly independent cointegrating vectors, or autoregressive unit roots of the vector process. Both of the proposed tests are asymptotically
Towards image realism with interactive update rates in complex virtual building environments
 Computer Graphics (1990 Symposium on Interactive 3D Graphics
, 1990
"... Two strategies, precomputation before display and adaptive refinement during display, are used to combine interactivity with high image quality in a virtual building simulation. Precomputation is used in two ways. The hiddensurface problem is partially solved by automatically precomputing potent ..."
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Cited by 265 (3 self)
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to twenty different sets of lights. Linear combinations of these solutions can be manipulated in real time. We use adaptive refinement to trade image realism for interactivity as the situation requires. When the user is stationary we replace a coarse model using few polygons with a more detailed model
MAP estimation via agreement on trees: Messagepassing and linear programming
, 2002
"... We develop and analyze methods for computing provably optimal maximum a posteriori (MAP) configurations for a subclass of Markov random fields defined on graphs with cycles. By decomposing the original distribution into a convex combination of treestructured distributions, we obtain an upper bound ..."
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Cited by 191 (9 self)
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We develop and analyze methods for computing provably optimal maximum a posteriori (MAP) configurations for a subclass of Markov random fields defined on graphs with cycles. By decomposing the original distribution into a convex combination of treestructured distributions, we obtain an upper bound
Coil sensitivity encoding for fast MRI. In:
 Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
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Cited by 193 (3 self)
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of encoding it is clear that image reconstruction must essentially be linear as well. That is, each of n V image values is to be calculated as a linear combination of sample values: where counts the voxels to be resolved. The transform F shall be referred to as the reconstruction matrix. Its size is n V ϫ n C
MAP estimation via agreement on (hyper)trees: Messagepassing and linear programming approaches
 IEEE Transactions on Information Theory
, 2002
"... We develop an approach for computing provably exact maximum a posteriori (MAP) configurations for a subclass of problems on graphs with cycles. By decomposing the original problem into a convex combination of treestructured problems, we obtain an upper bound on the optimal value of the original ..."
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Cited by 147 (10 self)
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configuration must also be a MAP configuration for the original problem. Next we present and analyze two methods for attempting to obtain tight upper bounds: (a) a treereweighted messagepassing algorithm that is related to but distinct from the maxproduct (minsum) algorithm; and (b) a treerelaxed linear
Clustering of timecourse gene expression data using a mixedeffects model with splines
 04, 2002, Rowe Program in Human Genetics, UC Davis School of Medicine
, 2002
"... Motivation: Timecourse gene expression data are often measured to study dynamic biological systems and gene regulatory networks. To account for time dependency of the gene expression measurements over time and the noisy nature of the microarray data, the mixedeffects model using Bsplines was intr ..."
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Cited by 138 (4 self)
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the smooth mean gene expression curve for each cluster. For each gene, we obtained the best linear unbiased smooth estimate of its gene expression trajectory over time, combining data from that gene and other genes in the same cluster. Simulated data indicate that the methods can effectively cluster noisy
Combining Linear And NonLinear Processing In The Time And In The Spectral Domain For NonStationary Noise Filtering
, 1999
"... Through this paper, the combination of linear and nonlinear techniques for noise filtering is proposed. A first linear processing stage in the time domain (an adaptive lattice ladder filter)[2],[5] is followed by a nonlinear processing block in the frequency domain. The association of both procedu ..."
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Through this paper, the combination of linear and nonlinear techniques for noise filtering is proposed. A first linear processing stage in the time domain (an adaptive lattice ladder filter)[2],[5] is followed by a nonlinear processing block in the frequency domain. The association of both
Geometry of Interaction and Linear Combinatory Algebras
, 2000
"... this paper was quite di#erent, stemming from the axiomatics of categories of tangles (although the authors were aware of possible connections to iteration theories. In fact, similar axiomatics in the symmetric case, motivated by flowcharts and "flownomials" had been developed some years ea ..."
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Cited by 61 (10 self)
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;wavestyle", since it concerns the evolution of a global information state or "wave". Formally, this distinction is based on whether the tensor product (i.e. the symmetric monoidal structure) in the underlying category is interpreted as a coproduct (particle style) or as a product (wave style
Linear dependence of stationary distributions in ergodic Markov decision processes
, 2007
"... In ergodic MDPs we consider stationary distributions of policies that coincide in all but n states, in which one of two possible actions is chosen. We give conditions and formulas for linear dependence of the stationary distributions of n + 2 such policies, and show some results about combinations a ..."
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Cited by 2 (1 self)
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In ergodic MDPs we consider stationary distributions of policies that coincide in all but n states, in which one of two possible actions is chosen. We give conditions and formulas for linear dependence of the stationary distributions of n + 2 such policies, and show some results about combinations
Anonymous Hierarchical IdentityBased Encryption (Without Random Oracles). In: Dwork
 CRYPTO 2006. LNCS,
, 2006
"... Abstract We present an identitybased cryptosystem that features fully anonymous ciphertexts and hierarchical key delegation. We give a proof of security in the standard model, based on the mild Decision Linear complexity assumption in bilinear groups. The system is efficient and practical, with sm ..."
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Cited by 119 (10 self)
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operations: delegation and rerandomization. Rerandomization occurs first, conceptually speaking. Very simply, we take a random linear combination of all the rows of the big array on page 10. The first row is treated a bit differently: it does not intervene into any other row's re
Results 1  10
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