A new method for measuring inequality across multiple factors offers deeper insights.
Gennaro Auricchio, Paolo Giudici, Giuseppe Toscani
― 6 min read
Mathematics - Statistics Theory
RSSA new method enhances marginal likelihood calculations in Bayesian statistics.
Si-Yang R. Y. Li, David A. van Dyk, Maximilian Autenrieth
― 5 min read
A look at the Ornstein-Uhlenbeck process and its real-world applications.
Vivek Kaushik
― 4 min read
Learn how conformal inference adapts predictions based on data variations.
Ulysse Gazin
― 5 min read
A fresh approach to evaluating the impact of varying treatment amounts on outcomes.
Kyle Schindl, Shuying Shen, Edward H. Kennedy
― 6 min read
Learn how neural networks mimic programming concepts for effective predictions.
Sourav Chatterjee, Timothy Sudijono
― 6 min read
Examining how high-dimensional spaces affect light blockage and data behavior.
Haim Bar, Vladimir Pozdnyakov
― 6 min read
New methods enhance reliability in estimating average treatment effects.
Ambarish Chattopadhyay, Guido W. Imbens
― 5 min read
A two-stage method for accurate treatment effect estimation when participants don’t comply.
Zhen Zhong, Per Johansson, Junni L. Zhang
― 6 min read
A new method improves estimation of population characteristics using mixed sampling data.
Jeremy Flood, Sayed Mostafa
― 5 min read
A new method optimizes deep learning training for better performance on unseen data.
Di Wang, Shao-Bo Lin, Deyu Meng
― 5 min read
This paper presents a graph-based method for comparing two data distributions.
Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani
― 6 min read
A method to identify data changes across sensors with minimal false alarms.
Tingnan Gong, Alon Kipnis, Yao Xie
― 5 min read
A look into how transport coefficients reveal system behavior under changing conditions.
Shiva Darshan, Andreas Eberle, Gabriel Stoltz
― 6 min read
A look into Bayesian modeling for time series data with correlated errors.
Claudia Kirch, Alexander Meier, Renate Meyer
― 5 min read
Combining parametric and nonparametric methods for better data analysis.
Ingrid Dæhlen, Nils Lid Hjort
― 6 min read
Examining the impact of Sequential Monte Carlo on districting fairness and reliability.
Sarah Cannon, Daryl DeFord, Moon Duchin
― 7 min read
Techniques for reducing noise improve imaging quality across various fields.
Reihaneh Malekian, Arian Maleki
― 5 min read
A novel approach to analyze heavy-tailed data using robust max statistics.
Mingshuo Liu, Miles E. Lopes
― 5 min read
This paper examines methods to compare generative models through embedding-based representations.
Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe
― 6 min read
Learn about the KS test, its types, and implications for data analysis.
Nicolas G. Underwood, Fabien Paillusson
― 5 min read
An overview of maximum likelihood estimators for log-concave densities and their properties.
Didier B. Ryter, Lutz Duembgen
― 4 min read
This article discusses methods for learning unnormalized distributions using noise-contrastive estimation.
J. Jon Ryu, Abhin Shah, Gregory W. Wornell
― 5 min read
A look at improved clustering methods and their practical applications.
Yu Zheng, Leo L. Duan, Arkaprava Roy
― 6 min read
Learn how to identify significant shifts in time series data effectively.
Ramkrishna Jyoti Samanta
― 5 min read
A look into Lévy processes and jump density estimation methods.
Céline Duval, Taher Jalal, Ester Mariucci
― 6 min read
A look at how variance estimation affects treatment effectiveness in experiments.
Jonas M. Mikhaeil, Donald P. Green
― 6 min read
A look into extreme events and how to prepare for them.
Phyllis Wan
― 5 min read
A look at goodness-of-fit testing in data spread across multiple servers.
Lasse Vuursteen
― 6 min read
Scientists find connections between genes and cancer using new methods.
Xuran Meng, Jingfei Zhang, Yi Li
― 5 min read
Examining the importance of accurate models in educational assessments.
Reyhaneh Hosseinpourkhoshkbari, Richard M. Golden
― 6 min read
A new model addresses the challenge of uncertain event timing in various fields.
Xiuyuan Cheng, Tingnan Gong, Yao Xie
― 5 min read
Exploring how model size affects performance in OOD detection.
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza
― 4 min read
Discover 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