Outlier Detection in Time Series via Mixed-Integer Conic Quadratic Optimization
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Publication:5010043
DOI10.1137/19M1306233zbMath1476.90207OpenAlexW3184529703MaRDI QIDQ5010043
Publication date: 24 August 2021
Published in: SIAM Journal on Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/19m1306233
Applications of mathematical programming (90C90) Mixed integer programming (90C11) Quadratic programming (90C20)
Related Items (4)
\(2 \times 2\)-convexifications for convex quadratic optimization with indicator variables ⋮ Simultaneous feature selection and outlier detection with optimality guarantees ⋮ A graph-based decomposition method for convex quadratic optimization with indicators ⋮ Supermodularity and valid inequalities for quadratic optimization with indicators
Uses Software
Cites Work
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- Forecasting Sales by Exponentially Weighted Moving Averages
- Exact Spike Train Inference Via $\ell_0$ Optimization
- Approximated perspective relaxations: a project and lift approach
- Best subset selection via a modern optimization lens
- Mixed-integer nonlinear programs featuring ``on/off constraints
- On the least trimmed squares estimator
- Least quantile regression via modern optimization
- A strong conic quadratic reformulation for machine-job assignment with controllable processing times
- Properties and refinements of the fused Lasso
- Lifting inequalities: a framework for generating strong cuts for nonlinear programs
- Quadratic mixed integer programming and support vectors for deleting outliers in robust regression
- Deriving convex hulls through lifting and projection
- Strong formulations for quadratic optimization with M-matrices and indicator variables
- Quadratic cone cutting surfaces for quadratic programs with on-off constraints
- Computational study of a family of mixed-integer quadratic programming problems
- Least trimmed squares regression, least median squares regression, and mathematical program\-ming
- A brief history of linear and mixed-integer programming computation
- Convex programming for disjunctive convex optimization
- On mathematical programming with indicator constraints
- Perspective cuts for a class of convex 0-1 mixed integer programs
- Deleting outliers in robust regression with mixed integer programming
- Perspective reformulations of mixed integer nonlinear programs with indicator variables
- SDP diagonalizations and perspective cuts for a class of nonseparable MIQP
- Introduction to Time Series and Forecasting
- The Class of Inverse $M$-Matrices Associated to Random Walks
- Multi-Label Markov Random Fields as an Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization
- Projected Perspective Reformulations with Applications in Design Problems
- Improving the Performance of MIQP Solvers for Quadratic Programs with Cardinality and Minimum Threshold Constraints: A Semidefinite Program Approach
- Cutting-Planes for Optimization of Convex Functions over Nonconvex Sets
- Optimal Properties of Exponentially Weighted Forecasts
- The Fundamental Theorem of Exponential Smoothing
- Least Median of Squares Regression
- Bayesian analysis of some outlier problems in time series
- A Faster Algorithm Solving a Generalization of Isotonic Median Regression and a Class of Fused Lasso Problems
- Sparsity and Smoothness Via the Fused Lasso
- Joint Estimation of Model Parameters and Outlier Effects in Time Series
- On Valid Inequalities for Quadratic Programming with Continuous Variables and Binary Indicators
- Decompositions of Semidefinite Matrices and the Perspective Reformulation of Nonseparable Quadratic Programs
- Scalable Algorithms for the Sparse Ridge Regression
- Quadratic Convex Reformulations for Semicontinuous Quadratic Programming
- An efficient algorithm for image segmentation, Markov random fields and related problems
- A General Qualitative Definition of Robustness
- New algorithms for computing the least trimmed squares regression estimator
- Supermodularity and valid inequalities for quadratic optimization with indicators
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