Dynamical Gene-Environment Networks Under Ellipsoidal Uncertainty: Set-Theoretic Regression Analysis Based on Ellipsoidal OR

DOI10.1007/978-3-642-11456-4_35zbMath1246.90112OpenAlexW174778293MaRDI QIDQ2908451

Selma Belen, Erik Kropat, Gerhard-Wilhelm Weber

Publication date: 5 September 2012

Published in: Dynamics, Games and Science I (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-11456-4_35

Mathematics Subject Classification ID

General nonlinear regression (62J02) Mixed integer programming (90C11) Quadratic programming (90C20) Genetics and epigenetics (92D10)

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Uses Software

• CMARS

Cites Work

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• CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization
• Cooperative games under bubbly uncertainty
• A survey on OR and mathematical methods applied on gene-environment networks
• Generalized semi-infinite programming: a tutorial
• Optimization of gene-environment networks in the presence of errors and uncertainty with Chebychev approximation
• Cooperation under interval uncertainty
• On optimization, dynamics and uncertainty: A tutorial for gene-environment networks
• Ellipsoidal calculus for estimation and control
• Robust optimization-methodology and applications
• Sparse regression with exact clustering
• Modeling, inference and optimization of regulatory networks based on time series data
• Optimization and dynamics of gene-environment networks with intervals
• A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
• On generalized semi-infinite optimization of genetic networks
• Regulatory Networks under Ellipsoidal Uncertainty – Data Analysis and Prediction by Optimization Theory and Dynamical Systems
• Hybrid hierarchical clustering with applications to microarray data
• Mathematical contributions to dynamics and optimization of gene-environment networks
• An algorithmic approach to analyse genetic networks and biological energy production: an introduction and contribution where OR meets biology†
• Lectures on Stochastic Programming
• Some results on cooperative interval games
• New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology
• Multicategory Support Vector Machines
• The elements of statistical learning. Data mining, inference, and prediction
• Multi-input multi-output ellipsoidal state bounding.