Technical Reports

TR# wdt_ID Title Author Year PDF
1187 1 Statistical Machine Learning for Complex Data Sets Xiaowu Dai 2019 tr1187.pdf
1185 2 Kernel Methods in the Analysis Hao Henry Zhou 2019 tr1185.pdf
1184 3 Minimax Optimal Rates of Estimation in Functional ANOVA Models With Derivatives Xiaowu Dai and Peter Chien 2017 tr1184.pdf
1183 4 Emanuel Parzen and a Tale of Two Kernels Grace Wahba 2016 tr1183.pdf
1182 5 Block Testing and Improved Power in Coincident Parameter Settings Vamsi Ithapu, Michael A. Newton, Vikas Singh, Tien Vo 2016 Not Available
1181 6 Bayesian Inference and Latent Partition Models for Grapgh Associated Data Vamsi Ithapu, Michael A. Newton, Vikas Singh, Tien Vo 2016 Not Available
1180 7 Topics on distance correlation, feature screening and lifetime expectancy with application to Beaver Dam Eye Study data Jing Kong 2015 tr1180.pdf
1179 8 Statistical justifications for computationally tractable network data analysis Tai Qin 2015 tr1179.pdf
1178 9 Distance Shrinage and Euclidean Embedding via Regularized Kernel Estimation Grace Wahba, Ming Yuan, Luwan Zhang 2014 tr1178.pdf
1177 10 Using Distance Covariance for Improved Variable Selection Jing Kong, Grace Wahba, Sijian Wang 2014 tr1177.pdf
1176 11 Variable Selection via Penalized Likelihood Zhigeng Geng, Grace Wahba 2014 tr1176.pdf
1175 12 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 tr1175.pdf
1174 13 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 tr1174.pdf
1173 15 Statistical model building, machine learning and the AhHa moment Wahba, G. 2013 tr1173.pdf
1172 16 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 tr1172.pdf
1171 17 Multivariate bernoulli distribution model Dai, B. 2012 1171.pdf
1170 18 Multivariate bernoulli distribution Dai, b>, Ding, S. & Wahba, G. 2012 1170.pdf
1169 19 The highest dimensional stochastic blockmodel with a regularized estimator Rohe, K., Qin, T. & Fan, H. 2012 1169.pdf
1168 20 Learning graph structure with parametric and non-parametric models Ding, S. 2012 tr1168.pdf
1167 21 Co-clustering for Directed Graphs: the Stochastic Co-Blockmodel and a Spectral Algorithm Karl Rohe, Bin Yu 2012 1167.pdf
1166 22 The Partitioned LASSO-Patternsearch Algorithm With Application to Gene Expression Data Shi, W., Wahba, G., Irizarry, R., Corrada Bravo, H., Wright, S. 2012 tr166.pdf
1165 23 Number not used
1164 24 Learning higher-order graph structure with features by structure penalty Ding, S., Wahba, G. & Zhu, X. 2011 tr1164.pdf
1163 25 On the asymptotics of maximum likelihood estimation for spatial linear models on a lattice Zheng, Y. & Zhu, J. 2010 tr1163.pdf
1162 26 Technical report comming soon keles, S. 2012
TR# Title Author Year PDF