A look into causal inference methods and the role of Structural Causal Models.
Lucius E. J. Bynum, Kyunghyun Cho
― 6 min read
Cutting edge science explained simply
A look into causal inference methods and the role of Structural Causal Models.
Lucius E. J. Bynum, Kyunghyun Cho
― 6 min read
A look into predicting soccer match outcomes across different leagues.
Josh Brown, Yutong Bu, Zachary Cheesman
― 8 min read
Investigating how pollution worsens asthma and emergency visits.
Jacob Englert, Stefanie Ebelt, Howard Chang
― 6 min read
Learn how Gaussian Mixture Models enhance GNN performance through data augmentation.
Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer
― 7 min read
New methods reveal interesting migration trends based on age.
Hana Ševčíková, James Raymer, Adrian E. Raftery
― 7 min read
A new approach reveals deeper insights into mortality trends.
Silvio C. Patricio
― 7 min read
A closer look at the benefits and challenges of Propensity Score Matching.
Fei Wan
― 5 min read
Researching patient outcomes to improve treatment effectiveness.
Jimmy Huy Tran, Jan Terje Kvaløy, Hartwig Kørner
― 6 min read
Learn how researchers are speeding up Markov chains for better predictions.
Michael C. H. Choi, Max Hird, Youjia Wang
― 6 min read
Learn how stability selection sharpens focus on important data variables.
Mahdi Nouraie, Samuel Muller
― 5 min read
CLIQUE enhances local variable importance analysis in machine learning.
Kelvyn K. Bladen, Adele Cutler, D. Richard Cutler
― 6 min read
Learn how fdesigns enhances experimental design for scientists.
Damianos Michaelides, Antony Overstall, Dave Woods
― 6 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
Learn how the Quasi-Bayes method improves event counting in real-time.
Stefano Favaro, Sandra Fortini
― 6 min read
Discover how brains process information using decoding techniques and their implications.
Sarah E. Harvey, David Lipshutz, Alex H. Williams
― 7 min read
Learn how to effectively price products offline using innovative strategies.
Zeyu Bian, Zhengling Qi, Cong Shi
― 7 min read
A look into causal inference methods and the role of Structural Causal Models.
Lucius E. J. Bynum, Kyunghyun Cho
― 6 min read
Exploring how machines forecast outcomes using past and future information.
Chao Han, Debabrota Basu, Michael Mangan
― 8 min read
A new method enhances symbol detection in noisy wireless environments.
Li Fan, Jing Yang, Cong Shen
― 6 min read
Learn how stability selection sharpens focus on important data variables.
Mahdi Nouraie, Samuel Muller
― 5 min read
Scientists study the movement of various organisms to reveal hidden patterns.
Jan Albrecht, Manfred Opper, Robert Großmann
― 6 min read
Learn how the Quasi-Bayes method improves event counting in real-time.
Stefano Favaro, Sandra Fortini
― 6 min read
A look into causal inference methods and the role of Structural Causal Models.
Lucius E. J. Bynum, Kyunghyun Cho
― 6 min read
Learn how stability selection sharpens focus on important data variables.
Mahdi Nouraie, Samuel Muller
― 5 min read
Learn how new test methods handle interference in research experiments.
Tingxuan Han, Ke Zhu, Hanzhong Liu
― 6 min read
An overview of the General Linear Threshold model for information diffusion.
Alexander Kagan, Elizaveta Levina, Ji Zhu
― 6 min read
How predictions shape actions and outcomes in everyday life.
Daniele Bracale, Subha Maity, Felipe Maia Polo
― 6 min read
A look at how variation analysis improves our insights into cause and effect.
Drago Plecko
― 6 min read
This article explains discretization errors and a new method to measure them.
Yuto Miyatake, Kaoru Irie, Takeru Matsuda
― 6 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
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