Giovanni Montana

Maria Vounou, Eva Janousová, Robin Wolz, Jason L. Stein, Paul M. Thompson, Daniel Rueckert, Giovanni Montana: Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage 60(1): 700-716 (2012)

Matt Silver, Eva Janousová, Xue Hua, Paul M. Thompson, Giovanni Montana: Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. NeuroImage 63(3): 1681-1694 (2012)

Brian McWilliams, Giovanni Montana: Multi-view predictive partitioning in high dimensions. Statistical Analysis and Data Mining 5(4): 304-321 (2012)

Maurice Berk, Giovanni Montana: A Skew-t-Normal Multi-level Reduced-Rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data. IDA 2012: 56-66

Maurice Berk, Timothy M. D. Ebbels, Giovanni Montana: A statistical framework for biomarker discovery in metabolomic time course data. Bioinformatics 27(14): 1979-1985 (2011)

Christopher Minas, Simon J. Waddell, Giovanni Montana: Distance-based differential analysis of gene curves. Bioinformatics 27(22): 3135-3141 (2011)

Matt Silver, Giovanni Montana, Thomas E. Nichols: False positives in neuroimaging genetics using voxel-based morphometry data. NeuroImage 54(2): 992-1000 (2011)

Brian McWilliams, Giovanni Montana: Predictive Subspace Clustering. ICMLA (1) 2011: 247-252

Maria Vounou, Thomas E. Nichols, Giovanni Montana: Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach. NeuroImage 53(3): 1147-1159 (2010)

Brian McWilliams, Giovanni Montana: Sparse partial least squares regression for on-line variable selection with multivariate data streams. Statistical Analysis and Data Mining 3(3): 170-193 (2010)

Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris: Flexible least squares for temporal data mining and statistical arbitrage. Expert Syst. Appl. 36(2): 2819-2830 (2009)

Giovanni Montana, Francesco Parrella: Learning to Trade with Incremental Support Vector Regression Experts. HAIS 2008: 591-598

Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris: Data stream mining for market-neutral algorithmic trading. SAC 2008: 966-970

Giovanni Montana, Clive J. Hoggart: Statistical software for gene mapping by admixture linkage disequilibrium. Briefings in Bioinformatics 8(6): 393-395 (2007)

Giovanni Montana: Statistical methods in genetics. Briefings in Bioinformatics 7(3): 297-308 (2006)

Giovanni Montana: HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients. Bioinformatics 21(23): 4309-4311 (2005)