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Showing results 77 to 96 of 112 < previous next >

Issue Date	Title	Author(s)
2014	Rank-based Inference for Independent Component Analysis	Mehta, Chintan
2020	Regret-Minimizing Algorithms Beyond Classical Optimization and Control	Zhang, Cyril
2019	Rethinking the Science of Statistical Privacy	Liu, Changchang
2019	Revealing disease-relevant alteration patterns through data aggregation	Munro, Daniel
2018	Robust Dependence-Adjusted Methods for High Dimensional Data	Bose, Koushiki
2016	Robust High-Dimensional Regression and Factor Models	Wang, Yuyan
2015	The Role of Read Depth in the Design and Analysis of Sequencing Experiments	Robinson, David Garrett
Sep-2013	Russian Military Expenditure: Data, Analysis and Issues	Cooper, Julian
2021	Signaling dynamics shape gene regulation across scales	Jena, Siddhartha Gautama
2019	Smooth Selection Principles, Simplicial Complexes, and Everything in Between	Guillen Pegueroles, Bernat
2016	Some Interactions of Modern Optimization and Statistics	Fang, Xingyuan
2020	Sparse Estimation for High-Dimensional Statistical Problems	Gong, Wenyan
2019	Spectral methods and MLE: a modern statistical perspective	Zhong, Yiqiao
2014	Statistical and Computational Tradeoffs in High-dimensional Problems	Berthet, Quentin
2021	Statistical and Machine Learning Methods For Financial Data	Lu, Kun
2023	STATISTICAL GUARANTEES FOR ADAPTIVE RECURSIVE PARTITIONING BASED ESTIMATORS	Tian, Peter Mingru
2017	Statistical Inference for Big Data	Zhao, Tianqi
2014	Statistical Inference of Variables Driving Systematic Variation in High-Dimensional Biological Data	Chung, Neo Christopher Honghoon
2023	Statistical Learning and Optimal Decision Making under Uncertainty	Yan, Yuling
2022	Statistical Machine Learning Meets Social Science	Tang, Francesca

Showing results 77 to 96 of 112 < previous next >