Technical Reports

TR# Title Author Year PDF
1183 Emanuel Parzen and a Tale of Two Kernels Grace Wahba 2016 PDF icon tr1183.pdf
1182 Block Testing and Improved Power in Coincident Parameter Settings Vamsi Ithapu, Michael A. Newton, Vikas Singh, Tien Vo 2016
1181 Bayesian Inference and Latent Partition Models for Grapgh Associated Data Vamsi Ithapu, Michael A. Newton, Vikas Singh, Tien Vo 2016
1180 Topics on distance correlation, feature screening and lifetime expectancy with application to Beaver Dam Eye Study data Jing Kong 2015 PDF icon tr1180.pdf
1179 Statistical justifications for computationally tractable network data analysis Tai Qin 2015 PDF icon TR1179.pdf
1178 Distance Shrinage and Euclidean Embedding via Regularized Kernel Estimation Grace Wahba, Ming Yuan, Luwan Zhang 2014 PDF icon tr1178.pdf
1177 Using Distance Covariance for Improved Variable Selection Jing Kong, Grace Wahba, Sijian Wang 2014 PDF icon tr1177.pdf
1176 Variable Selection via Penalized Likelihood Zhigeng Geng, Grace Wahba 2014 PDF icon tr1176.pdf
1175 Group Variable Selection via Convex Log-Exp-Sum Penalty with Application to a Breast Cancer Survivor Victoria Champion, Zhigeng Geng, Patrick O. Monahan, Sijian Wang, Grace Wahba 2013 PDF icon tr1175.pdf
1174 A multi-functional analyzer uses parameter constraints to improve the efficiency of model-based gene-set analysis Wang, Z., Qiuling, H., Larget, B. & Newton, M.A. 2013 PDF icon tr1174.pdf
1173 Statistical model building, machine learning and the AhHa moment Wahba, G. 2013 PDF icon tr1173.pdf
1172 Using distance correlation and SS-ANOVA to assess assocations of familial relationships, lifestyles factors, diseases and mortality Kong, J., Klein, B., Klein, R., Lee D. & Wahba, G. 2012 PDF icon tr1172.pdf
1171 Multivariate bernoulli distribution model Dai, B. 2012 PDF icon tr1171.pdf
1170 Multivariate bernoulli distribution Dai, b>, Ding, S. & Wahba, G. 2012 PDF icon tr1170.pdf
1169 The highest dimensional stochastic blockmodel with a regularized estimator Rohe, K., Qin, T. & Fan, H. 2012 PDF icon tr1169.pdf
1168 Learning graph structure with parametric and non-parametric models Ding, S. 2012 PDF icon tr1168.pdf
1167 Co-clustering for Directed Graphs: the Stochastic Co-Blockmodel and a Spectral Algorithm Karl Rohe, Bin Yu 2012 PDF icon tr1167.pdf
1166 The Partitioned LASSO-Patternsearch Algorithm With Application to Gene Expression Data Shi, W., Wahba, G., Irizarry, R., Corrada Bravo, H., Wright, S. 2012 PDF icon tr1166r.pdf
1165 Unavailable Grace Wahba 2011
1164 Learning higher-order graph structure with features by structure penalty Ding, S., Wahba, G. & Zhu, X. 2011 PDF icon tr1164.pdf

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