Algorithms for regression and classification: robust regression and genetic association studies
暂无分享,去创建一个
[1] Holger Schwender,et al. Statistical analysis of genotype and gene expression data , 2007 .
[2] Ursula Gather,et al. Repeated median and hybrid filters , 2006, Comput. Stat. Data Anal..
[3] S. Garte,et al. Metabolic susceptibility genes as cancer risk factors: time for a reassessment? , 2001, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[4] Lothar Thiele,et al. Quality Assessment of Pareto Set Approximations , 2008, Multiobjective Optimization.
[5] Donald B. Johnson,et al. Selecting the Kth element in X + Y and X_1 + X_2 + ... + X_m , 1978, SIAM J. Comput..
[6] Colin R. Reeves,et al. Evolutionary computation: a unified approach , 2007, Genetic Programming and Evolvable Machines.
[7] Wolfgang Banzhaf,et al. Genetic Programming: An Introduction , 1997 .
[8] Robert Tibshirani,et al. Estimating the number of clusters in a data set via the gap statistic , 2000 .
[9] J. L. Hodges,et al. Estimates of Location Based on Rank Tests , 1963 .
[10] John R. Koza,et al. Genetic Programming II , 1992 .
[11] Sariel Har-Peled. Constructing cuttings in theory and practice , 1998, SCG '98.
[12] Holger Schwender,et al. Modifying Microarray Analysis Methods for Categorical Data - SAM and PAM for SNPs , 2004, GfKl.
[13] Peter Bro Miltersen,et al. Finding Small OBDDs for Incompletely Specified Truth Tables Is Hard , 2006, COCOON.
[14] J. Wolfowitz,et al. An Introduction to the Theory of Statistics , 1951, Nature.
[15] Nimrod Megiddo,et al. Combinatorial optimization with rational objective functions , 1978, Math. Oper. Res..
[16] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[17] Peter J. Rousseeuw,et al. Robustness of the p-Subset Algorithm for Regression with High Breakdown Point , 1991 .
[18] Francesco Battaglia,et al. Fitting piecewise linear threshold autoregressive models by means of genetic algorithms , 2004, Comput. Stat. Data Anal..
[19] Douglas M. Hawkins,et al. Improved Feasible Solution Algorithms for High Breakdown Estimation , 1999 .
[20] Douglas M. Hawkins,et al. The feasible set algorithm for least median of squares regression , 1993 .
[21] R. Tibshirani,et al. Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[22] P. Tam. The International HapMap Consortium. The International HapMap Project (Co-PI of Hong Kong Centre which responsible for 2.5% of genome) , 2003 .
[23] Mark de Berg,et al. Computational geometry: algorithms and applications , 1997 .
[24] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[25] H R Drew,et al. Structure of a B-DNA dodecamer: conformation and dynamics. , 1981, Proceedings of the National Academy of Sciences of the United States of America.
[26] BRLMM : an Improved Genotype Calling Method for the GeneChip ® Human Mapping 500 K Array Set , 2006 .
[27] V. Spokoiny,et al. Statistical inference for time-inhomogeneous volatility models , 2004, math/0406430.
[28] A. G. Heidema,et al. The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases , 2006, BMC Genetics.
[29] David Haussler,et al. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework , 1988, Artif. Intell..
[30] Thorsten Bernholt,et al. Effiziente Algorithmen und Komplexität in der robusten Statistik , 2006 .
[31] M. F.,et al. Bibliography , 1985, Experimental Gerontology.
[32] P. Rousseeuw,et al. Alternatives to the Median Absolute Deviation , 1993 .
[33] Donald E. Knuth,et al. The art of computer programming, volume 3: (2nd ed.) sorting and searching , 1998 .
[34] T. Bernholt. Robust Estimators are Hard to Compute , 2006 .
[35] S. Muthukrishnan,et al. Data streams: algorithms and applications , 2005, SODA '03.
[36] Richard Cole,et al. On k-hulls and related problems , 1984, STOC '84.
[37] C Kooperberg,et al. Sequence Analysis Using Logic Regression , 2001, Genetic epidemiology.
[38] Jean Dussault,et al. A multivalued switching algebra with Boolean properties , 1976 .
[39] P. Donnelly,et al. Genome-wide strategies for detecting multiple loci that influence complex diseases , 2005, Nature Genetics.
[40] Leah E. Mechanic,et al. Exploring SNP‐SNP interactions and colon cancer risk using polymorphism interaction analysis , 2006, International journal of cancer.
[41] M. Shamos. Geometry and statistics: problems at the interface , 1976 .
[42] Richard A. Davis,et al. Introduction to time series and forecasting , 1998 .
[43] Stefan Droste. Efficient Genetic Programming for Finding Good Generalizing Boolean Functions , 1998 .
[44] Thomas Brüning,et al. ERCC2 genotypes and a corresponding haplotype are linked with breast cancer risk in a German population. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[45] Robin Nunkesser. RFreak – an R package for evolutionary computation , 2008 .
[46] Ricardo J. G. B. Campello,et al. Evolving clusters in gene-expression data , 2006, Inf. Sci..
[47] Vidroha Debroy,et al. Genetic Programming , 1998, Lecture Notes in Computer Science.
[48] Timothy M. Chan. Geometric Applications of a Randomized Optimization Technique , 1998, SCG '98.
[49] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[50] Manuel Blum,et al. Time Bounds for Selection , 1973, J. Comput. Syst. Sci..
[51] David J. Groggel,et al. Practical Nonparametric Statistics , 2000, Technometrics.
[52] I. Dryden,et al. Highly Resistant Regression and Object Matching , 1999, Biometrics.
[53] Peter J. Rousseeuw,et al. Time-Efficient Algorithms for Two Highly Robust Estimators of Scale , 1992 .
[54] Jasjeet S. Sekhon,et al. Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data , 2004 .
[55] F. Hampel. The Influence Curve and Its Role in Robust Estimation , 1974 .
[56] K. Lunetta,et al. Screening large-scale association study data: exploiting interactions using random forests , 2004, BMC Genetics.
[57] Roland Fried,et al. On the robust detection of edges in time series filtering , 2007, Comput. Stat. Data Anal..
[58] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[59] J S Witte,et al. Introduction: Analysis of Sequence Data and Population Structure , 2001, Genetic epidemiology.
[60] Mary C. Meyer. An Evolutionary Algorithm With Applications to Statistics , 2003 .
[61] Christian T. Brownlees,et al. Financial Econometric Analysis at Ultra-High Frequency: Data Handling Concerns , 2006, Comput. Stat. Data Anal..
[62] Timothy J. Purcell. Sorting and searching , 2005, SIGGRAPH Courses.
[63] J. Ott,et al. Mathematical multi-locus approaches to localizing complex human trait genes , 2003, Nature Reviews Genetics.
[64] Conrad C. Huang,et al. UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..
[65] Donald B. Johnson,et al. Lower Bounds for Selection in X + Y and Other Multisets , 1978, JACM.
[66] Ursula Gather,et al. Robust Online Scale Estimation in Time Series: A Regression-Free Approach , 2007 .
[67] Yuichi Mori,et al. Handbook of computational statistics : concepts and methods , 2004 .
[68] S. Stigler. Gauss and the Invention of Least Squares , 1981 .
[69] Toshihiro Tanaka. The International HapMap Project , 2003, Nature.
[70] T. Reich,et al. A perspective on epistasis: limits of models displaying no main effect. , 2002, American journal of human genetics.
[71] J. H. Moore,et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. , 2001, American journal of human genetics.
[72] Randal E. Bryant,et al. Graph-Based Algorithms for Boolean Function Manipulation , 1986, IEEE Transactions on Computers.
[73] Ingo Wegener,et al. Branching Programs and Binary Decision Diagrams , 1987 .
[74] Alberto L. Sangiovanni-Vincentelli,et al. Multiple-Valued Minimization for PLA Optimization , 1987, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[75] PETER J. ROUSSEEUW,et al. Computing LTS Regression for Large Data Sets , 2005, Data Mining and Knowledge Discovery.
[76] Micha Sharir,et al. Efficient algorithms for geometric optimization , 1998, CSUR.
[77] J. Steele,et al. Time- and Space-Efficient Algorithms for Least Median of Squares Regression , 1987 .
[78] Sergei Bespamyatnikh,et al. An Optimal Algorithm for Closest-Pair Maintenance , 1998, Discret. Comput. Geom..
[79] Donald E. Knuth,et al. The art of computer programming: sorting and searching (volume 3) , 1973 .
[80] J. Hodges. Efficiency in normal samples and tolerance of extreme values for some estimates of location , 1967 .
[81] M. Hubert,et al. A Robust Measure of Skewness , 2004 .
[82] Ingo Ruczinski,et al. Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications , 2004 .
[83] M. LeBlanc,et al. Logic Regression , 2003 .
[84] M. AdelsonVelskii,et al. AN ALGORITHM FOR THE ORGANIZATION OF INFORMATION , 1963 .
[85] J. Davies,et al. Molecular Biology of the Cell , 1983, Bristol Medico-Chirurgical Journal.
[86] Holger Schwender,et al. Identification of SNP interactions using logic regression. , 2008, Biostatistics.
[87] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[88] R. Koenker,et al. The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators , 1997 .
[89] Thomas Bartz-Beielstein,et al. Experimental research in evolutionary computation , 2007, GECCO '07.
[90] Enhong Chen,et al. Dynamic Clustering Using Multi-objective Evolutionary Algorithm , 2005, CIS.
[91] Herbert Edelsbrunner,et al. Simulation of simplicity: a technique to cope with degenerate cases in geometric algorithms , 1988, SCG '88.
[92] M. Genton,et al. Highly Robust Estimation of the Autocovariance Function , 2000 .
[93] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[94] H. Edelsbrunner,et al. Computing Least Median of Squares Regression Lines and Guided Topological Sweep , 1990 .
[95] Christina Gloeckner,et al. Modern Applied Statistics With S , 2003 .
[96] Peter Widmayer,et al. k-Violation Linear Programming , 1994, Inf. Process. Lett..
[97] Douglas F. Easton,et al. Association studies for finding cancer-susceptibility genetic variants , 2004, Nature Reviews Cancer.
[98] Stephen Y. H. Su,et al. The Relationship Between Multivalued Switching Algebra and Boolean Algebra Under Different Definitions of Complement , 1972, IEEE Transactions on Computers.
[99] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[100] Humberto Barreto,et al. Least median of squares and regression through the origin , 2006, Comput. Stat. Data Anal..
[101] M. Smid. Maintaining the minimal distance of a point set in less than linear time , 1990 .
[102] José Julio Espina Agulló. An exchange algorithm for computing the least quartile difference estimator , 2002 .
[103] P. Rousseeuw,et al. Generalized S-Estimators , 1994 .
[104] Remco C. Veltkamp,et al. Parametric search made practical , 2002, SCG '02.
[105] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[106] Ingo Wegener,et al. The complexity of Boolean functions , 1987 .
[107] Iain M. Johnstone,et al. The Resistant Line and Related Regression Methods , 1985 .
[108] Ingo Ruczinski,et al. Identifying interacting SNPs using Monte Carlo logic regression , 2005, Genetic epidemiology.
[109] O. Hössjer. Rank-Based Estimates in the Linear Model with High Breakdown Point , 1994 .
[110] Mia Hubert,et al. Recent developments in PROGRESS , 1997 .
[111] Arnold J. Stromberg,et al. Computing the Exact Least Median of Squares Estimate and Stability Diagnostics in Multiple Linear Regression , 1993, SIAM J. Sci. Comput..
[112] Michael Ian Shamos,et al. Computational geometry: an introduction , 1985 .
[113] Leonidas J. Guibas,et al. The power of geometric duality , 1983, 24th Annual Symposium on Foundations of Computer Science (sfcs 1983).