Please see arxiv for updates (Link)

B. Rajaratnam, S. Roberts, D. Sparks, and O. Dalal. Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2016. (to appear), http://arxiv.org/abs/1401.2480.

D. Guillot, B. Rajaratnam, and J. Emile-Geay. Statistical paleoclimate reconstructions via Markov random fields. Annals of Applied Statistics, 2015. (to appear), http://arxiv.org/abs/1309.6702.

K. Khare, SY. Oh, and B. Rajaratnam. A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2015. (to appear), http://arxiv.org/abs/1307.5381.

L. Janson and B. Rajaratnam. A methodology for robust multiproxy paleoclimate reconstructions and modeling of temperature conditional quantiles. Journal of the American Statistical Association, 109(505):63–77, 2014. http://arxiv.org/abs/1308.5736.

A.H. Hero and B. Rajaratnam. Foundational principles for large scale inference: Illustrations through correlation mining. Proceedings of the IEEE: Special Issue on Big Data (in revision), 2015.

D. Guillot and B. Rajaratnam. Functions preserving positive definiteness for sparse matrices.Transactions of the American Mathematical Society - TAMS, 367:627–649, 2015. http://arxiv.org/abs/1210.3894.

D. Guillot, A. Khare, and Rajaratnam B. Complete characterization of Hadamard powers preserving Loewner positivity, monotonicity, and convexity. Journal of Mathematical Analysis and Applications (to appear), 2015. http://arxiv.org/abs/1210.3894.

P. Diao, D. Guillot, A. Khare, and Rajaratnam B. Differential calculus on graphon space. Journal of Combinatorial Theory: Series A (accepted subject to changes), 2015. http://arxiv.org/abs/1403.3736.

D. Guillot, A. Khare, and Rajaratnam B. Preserving positivity for matrices with sparsity constraints. Transactions of the American Mathematical Society (to appear), 2016. http://arxiv.org/abs/1406.3408.

O. Dalal and B Rajaratnam. G-AMA: Sparse Gaussian Graphical Model Estimation via Alternating Minimization. 2014. (in revision), http://arxiv.org/abs/1405.3034.

B. Naul, B. Rajaratnam, and D. Vincenzi. The role of the isotonizing algorithm in stein’s covariance estimator. Computational Statistics and Data Analysis, 2014. (in revision).

D. Guillot, A. Khare, and B Rajaratnam. The critical exponent conjecture for powers of doubly nonnegative matrices. Linear Algebra and its Applications, 439:2422–2427, 2013. http://arxiv.org/abs/1303.4701.

J. Won, S.J. Kim, J. Lim, and B. Rajaratnam. Condition number-regularized covariance estimation. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 75(3):427–450, 2013. https://statistics.stanford.edu/sites/default/files/2012-10.pdf.

B. Rajaratnam and J. Salzman. Best permutation analysis. Journal of Multivariate Analysis, 121:193 – 223, 2013.

R.A. Olshen and Rajaratnam B. Correction: Successive normalization of rectangular arrays. Annals of Statistics, 41(5):2700–2702, 2013.

B. Rajaratnam, SY. Oh, M. Tsiang, and R.A. Olshen. Successive standardization: Application to case-control studies. In Symposium of the International Chinese Statistical Association, Series: Springer Proceedings in Mathematics & Statistics, volume 55 of Springer Proceedings in Mathematics & Statistics. Springer New York, 2013.

T. Li, C. Gao, M. Xu, and B. Rajaratnam. Detecting the impact area of the deep-water horizon oil spill: An analysis by boosting trees and time varying coefficient logistic models. Computational Statistics, pages 1–17, 2013.

D. Guillot and B Rajaratnam. Retaining positive definiteness in thresholded matrices. Linear Algebra and its Applications, 436:11:4143–4160, 2012. http://arxiv.org/abs/1108.3325.

E. Ben-David and B. Rajaratnam. Positive definite completion problems for directed acyclic graphs. SIAM journal on Matrix Analysis and Applications, 33(2):617–638, 2012. http://arxiv.org/abs/1201.0310.

K. Khare and B. Rajaratnam. Sparse matrix decompositions and graph characterizations. Linear Algebra and its Applications, 437:932–947, 2012. http://arxiv.org/abs/1111.6845.

A.O. Hero and B. Rajaratnam. Hub discovery in partial correlation models. IEEE Transactions on Information Theory, 58(9):6064–6078, 2012. http://arxiv.org/abs/1109.6846.

R.A. Olshen and B. Rajaratnam. Successive normalization of rectangular arrays. Algorithms, 5(1):98–112, 2012.

B. Rajaratnam. Generalized wishart distributions for maximum likelihood and bayesian inference for regression graph models, a discussion note / comments on: Sequences of regressions and their independences. TEST, 21(2):268–273, 2012.

K. Khare and B. Rajaratnam. Wishart distributions for covariance graph models. Annals of Statistics, 39(1):514–555, 2011. http://arxiv.org/abs/1103.1768.

A.O. Hero and Rajaratnam. B. Large scale correlation screening. Journal of the American Statistical Association, 106(496):1540–1552, 2011. http://arxiv.org/abs/1102.1204.

P. Craigmile and B. Rajaratnam. Discussion of statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable? Annals of Applied Statistics, 5:88–90, 2011. http://arxiv.org/abs/1104.4193.

R.A. Olshen and Rajaratnam B. Successive normalization of rectangular arrays. Annals of Statistics, 38(3):1638–1664, 2010. http://arxiv.org/abs/1010.0520.

Reddy K. and B. Rajaratnam. Learning mixture models via component-wise parameter smoothing. Computational Statistics and Data Analysis, 54:732–749, 2010.

K. Khare and B. Rajaratnam. Covariance trees and wishart distributions on cones. American Mathematical Society (AMS) CONM Volume, Algebraic Methods in Statistics and Probability II, 2010.

C.K. Reddy and B. Rajaratnam. Theory and practice of expectation maximization (EM) algorithm. In Encyclopedia of Data Warehousing and Mining, pages 1966–1973. 2009.

B. Rajaratnam, H. Massam, and C. Carvalho. Flexible covariance estimation in graphical models. Annals of Statistics, 36:2818–2849, 2008. http://arxiv.org/abs/0901.3267.

C.K. Reddy, Hsia-Dong C., and B. Rajaratnam. Trust-tech based expectation maximization(EM) for parameter estimation of finite mixture models. IEEE - Transactions on Pattern Analysis and Machine Intelligence, 30(7), 2008.

D. Singh, M. Tsiang, B. Rajaratnam, and N. Diffenbaugh. Observed changes in active and break spells of the south asian summer monsoon. Nature Climate Change, 4:456–461, 2014.

D. Horton, N.C. Johnson, D. Singh, D. Swain, B. Rajaratnam, and N. Diffenbaugh. Detection of robust trends in atmospheric circulation patterns and their contribution to extreme temperature occurrence. Nature (provisionally accepted), 2015.

D.L Swain, D. Singh, , M. Haughen, M. Tsiang, A. Charland, B. Rajaratnam, and N.S. Diffenbaugh. The extraordinary California drought of 2013-2014: character, context, and the role of climate change. Bulletin of the American Meteorological Society- BAMS, 95(9):S3–S7, 2014.

D. Singh, M. Ashfaq, A. Charland, D.E. Horton, N.C. Johnson, R. Mei, D. Rastogi, M. Haughen, M. Tsiang, B. Rajaratnam, and N.S. Diffenbaugh. Severe precipitation in northern India in June 2013: causes, historical context, and changes in probability. Bulletin of the American Meteorological Society- BAMS, 95(9):S58–S61, 2014.

A.H. Hero and B. Rajaratnam. Large scale correlation mining for biomolecular network discovery. In Big Data over Networks, Springer. 2015.

B. Rajaratnam. Reconstructing Past Climates, Contribution to chapter in SIAM monograph. The Mathematics of Planet Earth: An International Year of Scientific and Outreach Activities, edited by Hans G. Kaper and Christiane Rousseau, 2015. (to appear).

Rajaratnam M., B., and K. A novel equity valuation and capital allocation model for use by long-term value-investors. Journal of Banking and Finance, 44(6):483–494, 2014.

Wang J., Emile-Geay J., Guillot D., Smerdon J. E., and Rajaratnam B. Evaluating climate field reconstruction techniques using improved emulations of real-world conditions. Climates of the Past, 10:1–19, 2014.

Yoon. S., T. Assimes, T. Quertermous, H. Chin-Fu, C. Lee-Ming, H. Chi-Min, B. Rajaratnam, and R.A Olshen. Insulin resistance: Regression and clustering. PLOS ONE, 9(6): e94129, 2014.

D. Singh, M. Tsiang, B. Rajaratnam, and N. Diffenbaugh. Precipitation extremes over the continental united states in a transient, high-resolution. Journal of Geophysical Research (JGR), 118(13):7063–7086, 2013.

M Tingley, P.F. Craigmile, M. Haran, B. Li, E. Mannshardt, and B. Rajaratnam. Piecing together the past: Statistical insights into paleoclimatic reconstructions. Quaternary Sci- ence Reviews, 35(5):1–22, 2012. https://statistics.stanford.edu/research/piecing-together-past-statistical-insights-paleoclimatic-reconstructions.

S.J. Mason, M.K. Tippett, A.P. Weigel, L Goddard, and B. Rajaratnam. Reply to ’comments on ”conditional exceedance probabilities”’. Monthly Weather Review, 139:3325–3327, 2011.

S.J. Mason, Goddard L. and Graham N.E. Galpin, J.S. and, and Rajaratnam B. Conditional exceedance probabilities. Monthly Weather Review, 135(2):363–372, 2007.

Chandra V.. and Rajaratnam B. Differences in firm types and obstacles to growth: Insights from investment climate surveys. World Bank, Washington DC, 2004. (paper peer-reviewed and incorporated into the World Development Report).

Chandra V., Moorty L., Rajaratnam B., and Schaefer K. Constraints to growth and employment in south africa, i: Statistics from the large manufacturing firm survey. Washington DC World Bank Southern African department, 2001. Discussion paper No 14 (peer-reviewed).

Chandra V., Moorty L., Rajaratnam B., and Schaefer K. Constraints to growth and employment in south africa, ii: Statistics from the smme manufacturing firm survey. Washington DC World Bank Southern African department, 2001. Discussion paper No 15 (peer-reviewed).

S.J. Mason, P.R. Waylen, G.M. Mimmack, B. Rajaratnam, and J.M. Harrison. Changes in extreme rainfall events in South Africa. Climatic Change, 41:249–257, 1999.

S.Y. Oh, O. Dalal, K. Khare, and B. Rajaratnam. Optimization methods for sparse pseudo- likelihood graphical model selection. In NIPS - Neural Information Processing Systems Foundation (conference proceedings). Montreal, CA, 2014. http://arxiv.org/abs/1409.3768.

J. Wang, J. Emile-Geay, D. Guillot, and B. Rajaratnam. Spatiotemporal patterns of low-frequency variability in a 2000-year long global temperature reconstruction. In Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the Fourth International Workshop on Climate Informatics. NCAR, Boulder, CO, 2014. (in revision).

M Tingley, P.F. Craigmile, M. Haran, B. Li, E. Mannshardt, and B. Rajaratnam. Discriminating between climate model forcing scenarios using Bayesian, proxy-based reconstruction. In Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the Fourth International Workshop on Climate Informatics. NCAR, Boulder, CO, 2014. (in revision).

H. Firouzi, A.O. Hero, and Rajaratnam B. Predictive correlation screening: Application to two- stage predictor design in high dimension. Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics (AISTAT), JMLR WCP, 31:274288, 2013.

H. Firouzi, Rajaratnam B., and A.O. Hero. Two-stage variable selection for molecular prediction of disease. Proceedings of The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013. Nominated for Best Student Paper Award.

H. Firouzi, B. Rajaratnam, and A.O. Hero. Local hub screening for partial correlation graphs. Proceedings of SPIE workshop on Wavelets and Sparsity, 2013.

D. Guillot, B. Rajaratnam, B.T. Rolfs, I. Maleki, and I.H.M Wong. Iterative thresholding algorithm for sparse inverse covariance estimation. In NIPS - Neural Information Processing Systems Foundation (conference proceedings), pages 1583–1591. Lake Tahoe CA, 2012. http://arxiv.org/abs/1211.2532.

K. Sricharan, A.O. Hero, and B. Rajaratnam. A local dependence measure and its application to screening for high correlations in large data sets. IEEE Signal Processing Society: Conferences Proceedings of the 14th International Conference on Information Fusion, 2011.

R.A. Olshen and B. Rajaratnam. Successive normalization of rectangular arrays. Proceeding of the 1st International Conference on Data Compression, Communication and Processing (CCP 2011), 2011.

Reddy C.K. and B. Rajaratnam. Component-wise parameter smoothing for learning mixture models. Proceedings of the International Conference on Pattern Recognition (ICPR), Tampa, Florida, 2008.

Reddy C.K., Chiang H.D., and Rajaratnam B. Stability region based expectation maximization(EM) for model-based clustering. Proceedings of the IEEE/ACM International Conference on Data Mining (ICDM), 2006. (Peer-reviewed, Acceptance Rate: 9%).