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» Interval Methods: An Introduction
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VLDB
1987
ACM
78views Database» more  VLDB 1987»
14 years 1 months ago
Measured Performance of Time Interval Concurrency Control Techniques
This paper reports on an implementation of Bayer's Time Interval concurrency control method and compares it to the performance of a conventional timestamp method. The impleme...
Jerre D. Noe, David B. Wagner
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 2 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
SIAMSC
2008
230views more  SIAMSC 2008»
13 years 10 months ago
Augmented Mixed Finite Element Methods for the Stationary Stokes Equations
In this paper we introduce and analyze two augmented mixed finite element methods for a velocity-pressure-stress formulation of the stationary Stokes equations. Our approach, which...
Leonardo E. Figueroa, Gabriel N. Gatica, Antonio M...
SC
2005
ACM
14 years 3 months ago
Leading Computational Methods on Scalar and Vector HEC Platforms
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to build high-end computing (HEC) platforms, primarily because of their generality, ...
Leonid Oliker, Jonathan Carter, Michael F. Wehner,...
CSDA
2011
13 years 5 months ago
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the biascorrected bootst...
Jae H. Kim, Iain Fraser, Rob J. Hyndman