Examining the complexities of NFL draft decisions and the importance of player potential.
Ryan S. Brill, Abraham J. Wyner
― 10 min read
Statistics
RSSExamining how different communities face climate risks globally.
Lidia Cano Pecharroman, Melissa O. Tier, Elke U. Weber
― 5 min read
A look at how cognitive tests can improve forecasting accuracy.
Edgar C. Merkle, Nikolay Petrov, Sophie Ma Zhu
― 6 min read
Exploring the significance of quantiles in data analysis.
Alysha M De Livera, Luke Prendergast, Udara Kumaranathunga
― 6 min read
Understanding how climate models affect wind power predictions.
Sofia Morelli, Nina Effenberger, Luca Schmidt
― 7 min read
How wind influences the orientation of plant patterns on Marion Island.
Marco Mingione, Francesco Lagona, Priyanka Nagar
― 5 min read
A new model improves predictions for energy from distributed sources.
Wenbin Zhou, Shixiang Zhu, Feng Qiu
― 7 min read
A method using sensors to predict machine failures, ensuring smooth operations.
Benjamin Peters, Ayush Mohanty, Xiaolei Fang
― 5 min read
Using machine learning to improve accuracy in numerical model error predictions.
Bozhou Zhuang, Sashank Rana, Brandon Jones
― 7 min read
Exploring the significance of quantiles in data analysis.
Alysha M De Livera, Luke Prendergast, Udara Kumaranathunga
― 6 min read
Innovative methods to estimate stationary distributions in McKean-Vlasov stochastic differential equations.
Elsiddig Awadelkarim, Neil K. Chada, Ajay Jasra
― 6 min read
Discover how the occlusion process enhances sampling efficiency.
Max Hird, Florian Maire
― 8 min read
A practical guide to analyzing compositional data using Bayesian multilevel models.
Flora Le, Dorothea Dumuid, Tyman E. Stanford
― 5 min read
Learn how VEB streamlines data analysis for better insights.
Saikat Banerjee, Peter Carbonetto, Matthew Stephens
― 8 min read
A look into double emulators and their role in enhancing simulator performance.
Conor Crilly, Oliver Johnson, Alexander Lewis
― 5 min read
A simple guide to understanding the Zig-Zag algorithm and its benefits.
Sanket Agrawal, Joris Bierkens, Gareth O. Roberts
― 4 min read
Fairer-NMF aims to ensure equitable data representation for all groups.
Lara Kassab, Erin George, Deanna Needell
― 6 min read
A novel approach helps restore images from limited data.
Benedikt Böck, Sadaf Syed, Wolfgang Utschick
― 6 min read
Learn how G-computation helps maintain fairness in clinical trial evaluations.
Joe de Keizer, Rémi Lenain, Raphaël Porcher
― 5 min read
Adopting personalized methods can improve TB treatment outcomes significantly.
Ethan Wu, Caleb Ellington, Ben Lengerich
― 6 min read
KANs tackle complex data challenges with fewer resources and innovative designs.
Divesh Basina, Joseph Raj Vishal, Aarya Choudhary
― 6 min read
New techniques improve the understanding of causal relationships in data analysis.
Anish Dhir, Ruby Sedgwick, Avinash Kori
― 7 min read
BONE adapts to changing data, enhancing predictive accuracy across various fields.
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff
― 5 min read
New techniques in deep learning to analyze complex data relationships.
Sagar Ghosh, Kushal Bose, Swagatam Das
― 5 min read
New method improves reliability in testing mediation effects with real data.
Asmita Roy, Huijuan Zhou, Ni Zhao
― 4 min read
Researchers tackle missing data in mHealth experiments to improve health nudges.
Jiaxin Yu, Tianchen Qian
― 6 min read
Learn how tensor factorization makes data analysis easier and more effective.
Federica Stolf, Antonio Canale
― 5 min read
Learn how G-computation helps maintain fairness in clinical trial evaluations.
Joe de Keizer, Rémi Lenain, Raphaël Porcher
― 5 min read
Learn how Wasserstein Spatial Depth helps make sense of complex data.
François Bachoc, Alberto González-Sanz, Jean-Michel Loubes
― 5 min read
Examining the clash between energy production and farmland use in the U.S.
Chad Fiechter, Binayak Kunwar, Guy Tchuente
― 6 min read
Learn how LOT and Wasserstein distances make data analysis easier and more effective.
Michael Wilson, Tom Needham, Anuj Srivastava
― 7 min read
APGNN combines physics and data to enhance prediction accuracy in various fields.
David Shulman, Itai Dattner
― 5 min read
Learn how clustering and dimension reduction simplify data organization and analysis.
Araceli Guzmán-Tristán, Antonio Rieser
― 6 min read
Learn how inductive logic guides us in understanding the world.
Hanti Lin
― 7 min read
Discover the debate between two key statistical approaches.
Simon Benhaïem
― 8 min read
Learn how state space models evolve with deep learning.
Jiahe Lin, George Michailidis
― 7 min read
AI tools in education highlight inequalities in access and resources for students.
Monnie McGee, Bivin Sadler
― 6 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