News
Congratulations to our 2021 Ph.D. Graduates!
Congratulations to our 2021 Ph.D. Graduates!

Congratulations To Our 2021 Ph.D. Graduates! Ph.D. Students Successfully Defend Their Doctoral Dissertations.

Click here to view a list of our 2021 Ph.D....

Read more

Celebrating Exceptional Women During Math and Statistics Awareness Month
Celebrating Exceptional Women During Math and Statistics Awareness Month

This year’s Math and Statistics Awareness Month (2021) is upon us. With that in mind, the team at  OnlineEngineeringPrograms.com is highlighting a great guide we published in honor of it titled Celebrating Exceptional Women During Math and Statistics Awareness Month which includes an interview with Ruth Charney, PhD, President of the American Mathematical Society (AMS). ...

Read more

Using Big Data to Map Forests, Tree by Tree by Professor Tian Zheng
Using Big Data to Map Forests, Tree by Tree by Professor Tian Zheng

Tropical forests are made up of hundreds of tree species. Knowing what forests are made of at the individual tree level can unlock many secrets, not least how forests respond to the effects of climate change....

Read more

Congratulations to Miguel Ángel Garrido on being selected as one of the recipients of the 2021 Presidential Award for Outstanding Teaching by a Graduate Student Instructor
Congratulations to Miguel Ángel Garrido on being selected as one of the recipients of the 2021 Presidential Award for Outstanding Teaching by a Graduate Student Instructor

Congratulations to Miguel Ángel Garrido on being selected as one of the recipients of the 2021 Presidential Award for Outstanding Teaching by a Graduate Student Instructor....

Read more

Siddhartha Dalal, Professor of Professional Practice in SPS and in the Statistics Department, has been awarded a Meritorious Civilian Service Medal by the U.S. Army for his work with the Army Science Board.
Siddhartha Dalal, Professor of Professional Practice in SPS and in the Statistics Department, has been awarded a Meritorious Civilian Service Medal by the U.S. Army for his work with the Army Science Board.

Siddhartha Dalal, Professor of Professional Practice in SPS and in the Statistics Department, has been awarded a Meritorious Civilian Service Medal by the U.S....

Read more

Congratulations to Professor Samory Kpotufe for being named a 2021 Sloan Fellow
Congratulations to Professor Samory Kpotufe for being named a 2021 Sloan Fellow

Congratulations to Professor Samory Kpotufe for being named a 2021 Sloan Fellow

Please click here for the Columbia news coverage...

Read more

Introducing Our New Faculty
Introducing Our New Faculty

Carsten Chong Starting from Fall 2020, I am an Assistant Professor in the Department of Statistics at Columbia University. Prior to this, I did my Ph.D....

Read more

New Book by Professor Demissie Alemayehu, Emir Birol and Michael Gaffney "Interface between Regulation and Statistics in Drug Development" available on Amazon
New Book by Professor Demissie Alemayehu, Emir Birol and Michael Gaffney “Interface between Regulation and Statistics in Drug Development” available on Amazon

New Book by Professor Demissie Alemayehu, Emir Birol and Michael Gaffney “Interface between Regulation and Statistics in Drug Development” (Chapman & Hall/CRC Biostatistics Series) available on Amazon...

Read more

« Previous Page
Next Page »

Quick Links

Upcoming Events

Recent Faculty Publications

Privacy-preserving parametric inference: a case for robust statistics. Journal of the American Statistical Association, 116(534), 969-983.
Avella-Medina, M. (2021).
A Proxy Variable View of Shared Confounding. In International Conference on Machine Learning (pp. 10697-10707). PMLR.
Wang, Y., & Blei, D. (2021, July).
Count time series: A methodological review. Journal of the American Statistical Association, 1-15.
Davis, R. A., Fokianos, K., Holan, S. H., Joe, H., Livsey, J., Lund, R., ... & Ravishanker, N. (2021).
High-frequency analysis of parabolic stochastic PDEs. The Annals of Statistics, 48(2), 1143-1167.
Chong, C. (2020).
The continuous categorical: a novel simplex-valued exponential family. In International Conference on Machine Learning (pp. 3637-3647). PMLR.
Gordon-Rodriguez, E., Loaiza-Ganem, G., & Cunningham, J. (2020, November).
On the bias and variance of odds ratio, relative risk and false discovery proportion. Communications in Statistics-Theory and Methods, 1-31.
Pang, G., Alemayehu, D., de la Peña, V., & Klass, M. J. (2020).
Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1-26.
van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., ... & Yau, C. (2021).
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis. Journal of the American Statistical Association, (just-accepted), 1-39.
Gu, Y., & Xu, G. (2021).
Self-Tuning Bandits over Unknown Covariate-Shifts. In Algorithmic Learning Theory (pp. 1114-1156). PMLR.
Suk, J., & Kpotufe, S. (2021, March).
An adaptable generalization of Hotelling’s $ T^{2} $ test in high dimension. The Annals of Statistics, 48(3), 1815-1847.
Li, H., Aue, A., Paul, D., Peng, J., & Wang, P. (2020).
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Images. arXiv preprint arXiv:2106.06911.
Lo, S. H., & Yin, Y. (2021).
Latent feature extraction for process data via multidimensional scaling. psychometrika, 85(2), 378-397.
Tang, X., Wang, Z., He, Q., Liu, J., & Ying, Z. (2020).
Joint estimation of parameters in Ising model. The Annals of Statistics, 48(2), 785-810.
Ghosal, P., & Mukherjee, S. (2020).
Convergence to the mean-field game limit: a case study. The Annals of Applied Probability, 30(1), 259-286.
Nutz, M., San Martin, J., & Tan, X. (2020).
Neural clustering processes. In International Conference on Machine Learning (pp. 7455-7465). PMLR.
Pakman, A., Wang, Y., Mitelut, C., Lee, J., & Paninski, L. (2020, November).
Credit Risk, Liquidity, and Bubbles. International Review of Finance, 20(3), 737-746.
Jarrow, R., & Protter, P. (2020).
An asymptotic rate for the LASSO loss. In International Conference on Artificial Intelligence and Statistics (pp. 3664-3673). PMLR.
Rush, C. (2020, June).
Multivariate rank-based distribution-free nonparametric testing using measure transportation. Journal of the American Statistical Association, (just-accepted), 1-45.
Deb, N., & Sen, B. (2021).
Asset pricing with general transaction costs: Theory and numerics. Mathematical Finance, 31(2), 595-648.
Gonon, L., Muhle‐Karbe, J., & Shi, X. (2021).
Estimating causal effects in studies of human brain function: New models, methods and estimands. The annals of applied statistics, 14(1), 452.
Sobel, M. E., & Lindquist, M. A. (2020).
A note on the Screaming Toes game. arXiv preprint arXiv:2006.04805.
Tavaré, S. (2020).
Testing for stationarity of functional time series in the frequency domain. The Annals of Statistics, 48(5), 2505-2547.
Aue, A., & Van Delft, A. (2020).
Distinguishing cause from effect using quantiles: Bivariate quantile causal discovery. In International Conference on Machine Learning (pp. 9311-9323). PMLR.
Tagasovska, N., Chavez-Demoulin, V., & Vatter, T. (2020, November).
Robust estimation of superhedging prices. The Annals of Statistics, 49(1), 508-530
Obłój, J., & Wiesel, J. (2021).
Optimal stopping and worker selection in crowdsourcing: An adaptive sequential probability ratio test framework. Statistica Sinica, 31(1), 519-546.
Li, X., Chen, Y., Chen, X., Liu, J., & Ying, Z. (2021)
Revisiting colocalization via optimal transport. Nature Computational Science, 1(3), 177-178.
Wang, S., & Yuan, M. (2021).
Large‐scale, image‐based tree species mapping in a tropical forest using artificial perceptual learning. Methods in Ecology and Evolution, 12(4), 608-618.
Tang, C., Uriarte, M., Jin, H., C Morton, D., & Zheng, T. (2021).
From Decoupling and Self-Normalization to Machine Learning
Victor H. de la Pena
Stabilized Sparse Online Learning for Sparse Data
Yuting Ma, Tian Zheng
Capacity-Achieving Sparse Superposition Codes via Approximate Message Passing Decoding
Cynthia Rush, Adam Greig, Ramji Venkataramanan
Slice Sampling on Hamiltonian Trajectories
John P. Cunningham, Benjamin Bloem-Reddy
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
Fan, J., Feng, Y., Jiang, J. and Tong, X.
Topic-adjusted visibility metric for scientific articles. Ann. Appl. Stat. 10 (2016), no. 1, 1--31.
Linda S. L. Tan, Aik Hui Chan, and Tian Zheng
Boosted Sparse Non-linear Distance Metric Learning
Yuting Ma and Tian Zheng
Columbia University
In the City of New York
116th Street and Broadway, New York, NY 10027
© 2014 Columbia University

Website by Sunray Computer
DEPARTMENT OF STATISTICS
Columbia University
Room 1005 SSW, MC 4690
1255 Amsterdam Avenue
New York, NY 10027

Phone: 212.851.2132
Fax: 212.851.2164

Department of Statistics on LinkedIn