Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Spatial smoothing and hot spot detection for CGH data using the fused lasso - MaRDI portal

Spatial smoothing and hot spot detection for CGH data using the fused lasso

From MaRDI portal
Publication:3634567

DOI10.1093/biostatistics/kxm013zbMath1274.62886OpenAlexW2169043705WikidataQ33285126 ScholiaQ33285126MaRDI QIDQ3634567

Robert Tibshirani, Pei Wang

Publication date: 25 June 2009

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm013




Related Items

Penalized and constrained LAD estimation in fixed and high dimensionSimultaneous variable selection and de-coarsening in multi-path change-point modelsLinearized alternating direction method of multipliers for sparse group and fused Lasso modelsDetection of multiple undocumented change-points using adaptive LassoA semiparametric Bayesian model for comparing DNA copy numbersA heuristic, iterative algorithm for change-point detection in abrupt change modelsFast Markov Chain Monte Carlo for High-Dimensional Bayesian Regression Models With Shrinkage PriorsHorseshoe shrinkage methods for Bayesian fusion estimationOn stepwise pattern recovery of the fused LassoBayesian generalized fused lasso modeling via NEG distributionAlternating direction method of multipliers for nonconvex fused regression problemsShrinkage quantile regression for panel data with multiple structural breaksUniqueness of DRS as the 2 operator resolvent-splitting and impossibility of 3 operator resolvent-splittingA new active zero set descent algorithm for least absolute deviation with generalized LASSO penaltyA modified information criterion for tuning parameter selection in 1d fused LASSO for inference on multiple change pointsInference of Breakpoints in High-dimensional Time SeriesAn extended linearized alternating direction method of multipliers for fused-Lasso penalized linear regressionSplit Bregman method for large scale fused LassoTuning parameter selection in fused lasso signal approximator with false discovery rate controlSparse integrative clustering of multiple omics data setsBayesian fusion estimation via \(t\) shrinkageFused Lasso penalized least absolute deviation estimator for high dimensional linear regressionCovariate assisted screening and estimationHypothesis testing via a penalized-likelihood approachPathwise coordinate optimizationExact post-selection inference for the generalized Lasso pathIdentification of Differential Aberrations in Multiple-Sample Array CGH StudiesMultiscale blind source separationThe generalized Lasso problem and uniquenessFused lasso algorithm for Cox′ proportional hazards and binomial logit models with application to copy number profilesA simple and efficient algorithm for fused lasso signal approximator with convex loss functionReconstructing DNA copy number by penalized estimation and imputationA penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysisIdentifying QTLs and epistasis in structured plant populations using adaptive mixed LASSORegularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancerThe screening and ranking algorithm to detect DNA copy number variationsFDR-control in multiscale change-point segmentationSimultaneous feature selection and clustering based on square root optimizationBayesian multiple change-points detection in a normal model with heterogeneous variancesMultiple change-point detection: a selective overviewDetecting Genomic Aberrations Using Products in a Multiscale AnalysisMultiple Testing of Local Extrema for Detection of Change PointsHigh-dimensional sign-constrained feature selection and groupingA shape-based cutting and clustering algorithm for multiple change-point detectionModular proximal optimization for multidimensional total-variation regularizationChangepoint detection by the quantile Lasso methodSparse group fused Lasso for model segmentation: a hybrid approachDual-density-based reweighted \(\ell_1\)-algorithms for a class of \(\ell_0\)-minimization problemsAlgorithms for Fitting the Constrained LassoFused-MCP With Application to Signal ProcessingNonuniqueness of solutions of a class of \(\ell_0\)-minimization problemsSequential model selection-based segmentation to detect DNA copy number variationA modified generalized Lasso algorithm to detect local spatial clusters for count dataAdaptive gPCA: a method for structured dimensionality reduction with applications to microbiome dataTesting and estimation for clustered signalsA penalized regression approach for DNA copy number study using the sequencing dataMultiscale change-point segmentation: beyond step functionsMultiscale Change Point InferenceInference for single and multiple change-points in time seriesUnnamed Item


Uses Software