Exploring how model size affects performance in OOD detection.
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza
― 4 min read
Statistics - Statistics Theory
RSSDiscover techniques for estimating signals amidst noise in various fields.
Dmitrii M. Ostrovskii
― 6 min read
A look at how the Bethe-Hessian matrix aids in community detection.
Ludovic Stephan, Yizhe Zhu
― 6 min read
Learn how mechanism design shapes effective market strategies for sellers.
Yiding Feng, Yaonan Jin
― 6 min read
A look into kernel density estimation and its significance in complex data analysis.
Eduardo García-Portugués, Andrea Meilán-Vila
― 6 min read
Learn about innovative models for analyzing odds ratios in various fields.
Idir Arab, Milto Hadjikyriakou, Paulo Eduardo Oliveira
― 6 min read
Learn how local dependence functions reveal interactions between random variables.
Ismihan Bayramoglu, Pelin Ersin
― 7 min read
Learn how we make smart guesses about how long things last.
Lakshmi Kanta Patra, Constantinos Petropoulos, Shrajal Bajpai
― 5 min read
Discover methods to improve understanding of complex systems through time series data.
Jeongjin Park, Nicole Yang, Nisha Chandramoorthy
― 8 min read
Learn how to determine if time series data behaves like white noise.
Patrick Bastian
― 5 min read
Understanding censoring and estimation in lifespan testing.
Shrajal Bajpai, Lakshmi Kanta Patra
― 7 min read
A look into how various distance measurements impact shapes and data.
Carlos Pinzón
― 7 min read
A look at how variation analysis improves our insights into cause and effect.
Drago Plecko
― 6 min read
Learn how Importance Sampling and IMH estimate distributions in statistics.
George Deligiannidis, Pierre E. Jacob, El Mahdi Khribch
― 7 min read
Learn how Wasserstein Spatial Depth helps make sense of complex data.
François Bachoc, Alberto González-Sanz, Jean-Michel Loubes
― 5 min read
Learn how dense neural networks analyze complex data over time and space.
Zhi Zhang, Carlos Misael Madrid Padilla, Xiaokai Luo
― 5 min read
Introducing an innovative bow tie neural network for better prediction and uncertainty management.
Alisa Sheinkman, Sara Wade
― 6 min read
Learn how the Collision Matrix aids in decision-making across different fields.
Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon
― 7 min read
Exploring the roles of additive and multiplicative noise in various systems.
Ewan T. Phillips, Benjamin Lindner, Holger Kantz
― 6 min read
Learn how partial Gini covariance improves analysis of high-dimensional, heavy-tailed data.
Yilin Zhang, Songshan Yang, Yunan Wu
― 3 min read
Learn how NN algorithms recommend choices even when faced with missing information.
Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi
― 6 min read
Examining treatment effects through adaptive methods in existing data.
Jeonghwan Lee, Cong Ma
― 7 min read
Learn how unimodal maps help us predict amidst noise.
Fabrizio Lillo, Stefano Marmi, Matteo Tanzi
― 9 min read
Learn about adversarial and heavy-tailed outliers in data analysis.
Yeshwanth Cherapanamjeri, Daniel Lee
― 7 min read
Machines learn efficiently by selecting the most useful data for training.
Frederik Eaton
― 7 min read
A concise look at community detection within networks and its applications.
Julien Chevallier, Guilherme Ost
― 5 min read
A look at federated learning and its role in data privacy.
Jingyang Li, T. Tony Cai, Dong Xia
― 5 min read
A look into Gaussian trace estimators and their applications in statistics.
Eric Hallman
― 7 min read
Explore the significance of Spearman’s rank correlation for analyzing complex data relationships.
Hantao Chen, Cheng Wang
― 5 min read
Discover how adaptive MCMC adjusts settings for effective problem-solving.
Austin Brown, Jeffrey S. Rosenthal
― 6 min read
A new model enhances predictions of extreme weather events using advanced statistical methods.
Aiden Farrell, Emma F. Eastoe, Clement Lee
― 5 min read
Learn how statistics helps us make sense of data and uncertainty.
Mahdi Zamani
― 9 min read
CARA improves personalized medicine by aligning treatments with patient characteristics.
Jiahui Xin, Wei Ma
― 6 min read
Learn how Bayesian methods can improve neural network training.
Curtis McDonald, Andrew R. Barron
― 5 min read
Analyzing the link between diabetes and Chronic Kidney Disease amidst various health factors.
Abhishek Ojha, Naveen N. Narisetty
― 8 min read
Learn how researchers estimate in a world full of complex data.
Jana Gauss, Thomas Nagler
― 6 min read
Learn how researchers estimate income trends despite missing data.
Xijia Liu, Kreske Ecker, Lina Schelin
― 6 min read
Analyzing how regions influence one another through dynamic spatial autoregressive models.
Zetai Cen, Yudong Chen, Clifford Lam
― 7 min read
A new method enhances boundary detection amid noise challenges.
Dhruv Kohli, Jesse He, Chester Holtz
― 5 min read
Learn how semiparametric models enhance data analysis through flexibility and simplicity.
Stefan Franssen, Jeanne Nguyen, Aad van der Vaart
― 7 min read