Sciweavers

IOR
2006
91views more  IOR 2006»
13 years 4 months ago
Robust One-Period Option Hedging
The paper considers robust optimization to cope with uncertainty about the stock return process in one period option hedging problems. The robust approach relates portfolio choice ...
Frank Lutgens, Jos F. Sturm, Antoon Kolen
CORR
2006
Springer
76views Education» more  CORR 2006»
13 years 4 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
CCE
2006
13 years 4 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...
CAD
2006
Springer
13 years 4 months ago
Robust parameter synthesis for planar higher pair mechanical systems
We present a parameter synthesis algorithm for planar, higher pair mechanical systems. The input is a parametric model of a mechanical system (part shapes and configurations) with...
Min-Ho Kyung, Elisha Sacks
BMCBI
2006
117views more  BMCBI 2006»
13 years 4 months ago
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineti
Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
ICGA
2008
208views Optimization» more  ICGA 2008»
13 years 4 months ago
Cross-Entropy for Monte-Carlo Tree Search
Recently, Monte-Carlo Tree Search (MCTS) has become a popular approach for intelligent play in games. Amongst others, it is successfully used in most state-of-the-art Go programs....
Guillaume Chaslot, Mark H. M. Winands, Istvan Szit...
BMCBI
2006
146views more  BMCBI 2006»
13 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
BMCBI
2006
202views more  BMCBI 2006»
13 years 4 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
AUTOMATICA
2006
142views more  AUTOMATICA 2006»
13 years 4 months ago
Stability regions in the parameter space: D-decomposition revisited
The challenging problem in linear control theory is to describe the total set of parameters (controller coefficients or plant characteristics) which provide stability of a system....
Elena N. Gryazina, Boris T. Polyak
ALMOB
2006
80views more  ALMOB 2006»
13 years 4 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
Grégory Nuel