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» Bias and Variance Approximation in Value Function Estimates
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CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
13 years 3 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica
DEXA
2008
Springer
154views Database» more  DEXA 2008»
13 years 10 months ago
Approximate Range-Sum Queries over Data Cubes Using Cosine Transform
In this research, we propose to use the discrete cosine transform to approximate the cumulative distributions of data cube cells' values. The cosine transform is known to have...
Wen-Chi Hou, Cheng Luo, Zhewei Jiang, Feng Yan, Qi...
JCB
2008
106views more  JCB 2008»
13 years 8 months ago
Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison w...
James O. Wrabl, Nick V. Grishin
IOR
2006
192views more  IOR 2006»
13 years 8 months ago
Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
The stochastic differential equations for affine jump diffusion models do not yield exact solutions that can be directly simulated. Discretization methods can be used for simulati...
Mark Broadie, Özgür Kaya
MCS
2010
Springer
13 years 7 months ago
Goal-oriented a posteriori error estimates for transport problems
Some aspects of goal-oriented a posteriori error estimation are addressed in the context of steady convection-diffusion equations. The difference between the exact and approxima...
Dmitri Kuzmin, Sergey Korotov