首页 | 本学科首页   官方微博 | 高级检索  
     


Encoding dissimilarity data for statistical model building
Authors:Grace Wahba
Affiliation:Department of Statistics, University of Wisconsin-Madison, USA
Abstract:We summarize, review and comment upon three papers which discuss the use of discrete, noisy, incomplete, scattered pairwise dissimilarity data in statistical model building. Convex cone optimization codes are used to embed the objects into a Euclidean space which respects the dissimilarity information while controlling the dimension of the space. A “newbie” algorithm is provided for embedding new objects into this space. This allows the dissimilarity information to be incorporated into a smoothing spline ANOVA penalized likelihood model, a support vector machine, or any model that will admit reproducing kernel Hilbert space components, for nonparametric regression, supervised learning, or semisupervised learning. Future work and open questions are discussed. The papers are:
Keywords:Dissimilarity data   Reproducing kernel Hilbert spaces   Regularized kernel estimation   Regularization manifold unfolding   Penalized likelihood   Support vector machines   Radial basis functions
本文献已被 ScienceDirect 等数据库收录！
相似文献(共20条):
[1]、Ericm.Hillson Jaxk H.Reeves Charlotte A.Mcmillan.A statistical signalling model for use in surveillance of adverse drug reaction data[J].Journal of applied statistics,1998,25(1):23-40.
[2]、Bayesian statistical inference of the loglogistic model with interval-censored lifetime data[J].Journal of Statistical Computation and Simulation
[3]、Angela D\'Elia.A statistical model for orientation mechanism[J].Statistical Methods and Applications,2001,10(1-3):157-174.
[4]、Maurizio Rafanelli.Aggregate statistical data: models for their representation[J].Statistics and Computing,1995,5(1):3-24.
[5]、Thaung Lwin.Parameter estimation in first-order autoregressive model for statistical process monitoring in the presence of data autocorrelation[J].Journal of statistical planning and inference,2011,141(8):2556-2575.
[6]、Qunfang Xu.Semiparametric statistical inferences for longitudinal data with nonparametric covariance modelling[J].Statistics,2017,51(6):1280-1303.
[7]、Jingyun Yang.Using SAS for data management,statistical analysis and graphics[J].Pharmaceutical statistics,2012,11(4):346-346.
[8]、Theda A. Foster,Donna L. Mohr,Robert C. Elston.A statistical model of tracking[J].统计学通讯:理论与方法,2013,42(8):2861-2881.
[9]、Georgi, N., Boshnakov.Using R for data management,statistical analysis,and graphics[J].Journal of applied statistics,2012,39(6):1382-1383.
[10]、Luca De Angelis.Latent class models for financial data analysis: some statistical developments[J].Statistical Methods and Applications,2013,22(2):227-242.
[11]、The performance of several statistical tests for seasonality in monthly data[J].Journal of Statistical Computation and Simulation
[12]、J., Mazucheli,J., A., Achcar,E., A., Coelho-Barros,F., Louzada-Neto.Infant mortality model for lifetime data[J].Journal of applied statistics,2009,36(9):1029-1036.
[13]、Gabi Gayer,Omer Yaffe.Similarity-based model for ordered categorical data[J].Econometric Reviews,2019,38(3):263-278.
[14]、Yu-Mei Chang,Pao-Sheng Shen.Adaptive-Cox model averaging for right-censored data[J].统计学通讯:理论与方法,2017,46(19):9364-9376.
[15]、Debajyoti Sinha.Time-discrete beta-process model for interval-censored survival data[J].Revue canadienne de statistique,1997,25(4):445-456.
[16]、G. K. Kanji.A mixture model for wind shear data[J].Journal of applied statistics,1985,12(1):49-58.
[17]、Charlotte Laclau,Mohamed Nadif.Diagonal latent block model for binary data[J].Statistics and Computing,2017,27(5):1145-1163.
[18]、Statistical model and inference for pharmacokinetic data[J].Journal of Statistical Computation and Simulation
[19]、A second order model for cylindrical data[J].Journal of Statistical Computation and Simulation
[20]、De Beer J.A time series model for cohort data[J].Journal of the American Statistical Association,1985,80(391):525-530.
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号