Statistics - Statistics Theory

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Machine Learning Simplifying Data Analysis with BENN

Learn how BENN enhances dimension reduction in data analysis.

Yin Tang, Bing Li

2025-02-27T14:45:34+00:00 ― 6 min read

Statistics Theory Revolutionizing Data Analysis with Inferential Models

Discover a fresh approach to measuring uncertainty in data analysis.

Ryan Martin, Jonathan P. Williams

2025-02-24T20:38:11+00:00 ― 5 min read

Methodology Simplifying Statistical Models with Random Projections

A fresh approach to check statistical models in high-dimensional data.

Wen Chen, Jie Liu, Heng Peng

2025-02-23T03:56:43+00:00 ― 5 min read

Methodology Revolutionizing Patient Care with Surrogate Outcomes

Integrating surrogate outcomes improves individual treatment effect predictions in medical research.

Chenyin Gao, Peter B. Gilbert, Larry Han

2025-02-18T01:52:19+00:00 ― 6 min read

Methodology Navigating Tree-Based Models with Partial Likelihood

Learn how partial likelihood improves tree-based models in data analysis.

Li Ma, Benedetta Bruni

2025-02-17T20:47:08+00:00 ― 7 min read

Methodology Understanding Causal Invariance Learning

A look into how we learn about cause and effect in various fields.

Zhenyu Wang, Yifan Hu, Peter Bühlmann

2025-02-17T00:26:24+00:00 ― 6 min read

Machine Learning New Method Boosts Biological Data Analysis

A novel framework improves understanding of complex biological systems using multi-omics data.

Sungdong Lee, Joshua Bang, Youngrae Kim

2025-02-16T04:05:40+00:00 ― 6 min read

Probability The Dance of Correlation and Coskewness

Discover how correlation and coskewness reveal hidden relationships in data.

Carole Bernard, Jinghui Chen, Steven Vanduffel

2025-02-14T11:24:12+00:00 ― 6 min read

Statistics Theory Tackling Challenges in Nonparametric Regression

A fresh approach to analyzing complex data with creative methods.

Prem Talwai, David Simchi-Levi

2025-02-11T07:06:27+00:00 ― 5 min read

Machine Learning Classifying Nodes: A Semi-Supervised Approach

Learn how limited information aids in node classification using semi-supervised learning.

Hai-Xiao Wang, Zhichao Wang

2025-02-09T14:24:59+00:00 ― 6 min read

Probability The Hidden Shapes of Nature's Barriers

Discover how scientists uncover the shapes of semipermeable barriers influencing movement.

Alexander Van Werde, Jaron Sanders

2025-02-07T21:43:31+00:00 ― 5 min read

Methodology The Challenge of Hypothesis Testing in Classrooms

Learn about the complexities of hypothesis testing with strategic participants in classrooms.

Flora C. Shi, Stephen Bates, Martin J. Wainwright

2025-02-03T21:05:02+00:00 ― 8 min read

Methodology MATES: A New Way to Compare Data

Discover how MATES improves data comparison through multiple perspectives.

Zexi Cai, Wenbo Fei, Doudou Zhou

2025-02-01T23:18:23+00:00 ― 6 min read

Statistics Theory Navigating Complexity: The Adaptive Elastic-Net in Statistical Analysis

Learn how Adaptive Elastic-Net enhances predictions in complex data systems.

Alessandro De Gregorio, Dario Frisardi, Francesco Iafrate

2025-02-01T18:13:12+00:00 ― 6 min read

Statistics Theory Unraveling Functional Data: The FICA Advantage

FICA transforms complex functional data into clear insights across various fields.

Marc Vidal, Marc Leman, Ana M. Aguilera

2025-01-29T08:50:16+00:00 ― 7 min read

Methodology Understanding Connections: The Role of N-SDE

Explore how Network Stochastic Differential Equations enhance our grasp of interconnected systems.

Francesco Iafrate, Stefano Iacus

2025-01-29T03:45:05+00:00 ― 5 min read

Statistics Theory Making Sense of Matrix Data Relationships

Bivariate Matrix-Valued Linear Regression helps analyze complex data connections.

Nayel Bettache

2025-01-28T22:39:54+00:00 ― 5 min read

Computation Constrained Sampling: A New Approach to Data Collection

Learn about constrained sampling and the powerful MAPLA technique.

Vishwak Srinivasan, Andre Wibisono, Ashia Wilson

2025-01-26T04:32:31+00:00 ― 6 min read

Statistics Theory Bridging Statistics with Geometry: Empirical Likelihood and Fréchet Means

Explore the link between empirical likelihood and Fréchet means in complex data spaces.

Karthik Bharath, Huiling Le, Andrew T A Wood

2025-01-25T03:06:36+00:00 ― 6 min read

Statistics Theory Federated Learning: The Future of Privacy in Data

A look into federated learning and its role in maintaining privacy while improving data accuracy.

Tony Cai, Abhinav Chakraborty, Lasse Vuursteen

2025-01-24T16:56:14+00:00 ― 5 min read

Econometrics Unpacking Markov-Switching Models: A Simple Guide

Learn how Markov-switching models reveal hidden patterns in data.

Frederik Krabbe

2025-01-23T00:14:46+00:00 ― 5 min read

Probability Harnessing Reflected McKean-Vlasov SDEs: A Guide

Explore the power of reflected McKean-Vlasov SDEs in complex systems.

P. D. Hinds, A. Sharma, M. V. Tretyakov

2025-01-20T21:22:56+00:00 ― 6 min read

Probability Navigating the Landscape of Concentration Inequalities

Understanding random events and their predictions in various fields.

Arun Kumar Kuchibhotla

2025-01-20T11:12:34+00:00 ― 7 min read

Statistics Theory E-Values: A Shift in Hypothesis Testing

Discover how e-values change the game in modern hypothesis testing.

Eugenio Clerico

2025-01-18T13:25:55+00:00 ― 5 min read

Statistics Theory Uncovering Insights with Sparse PCA

Learn how Sparse PCA helps make sense of complex data.

Michael J. Feldman, Theodor Misiakiewicz, Elad Romanov

2025-01-18T08:20:44+00:00 ― 5 min read