Mathematics - Statistics Theory

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Statistics Theory Understanding the Kolmogorov-Smirnov Test and Its Applications

Learn about the KS test, its types, and implications for data analysis.

Nicolas G. Underwood, Fabien Paillusson

2025-05-30T08:52:56+00:00 ― 5 min read

Statistics Theory Estimating Log-Concave Densities in Statistics

An overview of maximum likelihood estimators for log-concave densities and their properties.

Didier B. Ryter, Lutz Duembgen

2025-05-30T07:30:18+00:00 ― 4 min read

Machine Learning Learning from Unnormalized Distributions: Overview and Techniques

This article discusses methods for learning unnormalized distributions using noise-contrastive estimation.

J. Jon Ryu, Abhin Shah, Gregory W. Wornell

2025-05-30T00:37:08+00:00 ― 5 min read

Statistics Theory Advancements in Clustering Techniques

A look at improved clustering methods and their practical applications.

Yu Zheng, Leo L. Duan, Arkaprava Roy

2025-05-28T21:04:28+00:00 ― 6 min read

Statistics Theory Understanding Change-Points in Time Series Data

Learn how to identify significant shifts in time series data effectively.

Ramkrishna Jyoti Samanta

2025-05-27T23:02:20+00:00 ― 5 min read

Statistics Theory Estimating Jump Densities in Lévy Processes

A look into Lévy processes and jump density estimation methods.

Céline Duval, Taher Jalal, Ester Mariucci

2025-05-26T11:13:52+00:00 ― 6 min read

Methodology Understanding Variance Estimation in Experiments

A look at how variance estimation affects treatment effectiveness in experiments.

Jonas M. Mikhaeil, Donald P. Green

2025-05-26T09:51:14+00:00 ― 6 min read

Statistics Theory Understanding Extreme Events and Their Impact

A look into extreme events and how to prepare for them.

Phyllis Wan

2025-05-25T07:41:12+00:00 ― 5 min read

Statistics Theory Testing Data Fit in a Distributed World

A look at goodness-of-fit testing in data spread across multiple servers.

Lasse Vuursteen

2025-05-24T17:54:52+00:00 ― 6 min read

Methodology Unraveling Genetic Interactions in Cancer Research

Scientists find connections between genes and cancer using new methods.

Xuran Meng, Jingfei Zhang, Yi Li

2025-05-23T21:15:22+00:00 ― 5 min read

Methodology Improving Student Assessment Through Better Models

Examining the importance of accurate models in educational assessments.

Reyhaneh Hosseinpourkhoshkbari, Richard M. Golden

2025-05-23T04:43:46+00:00 ― 6 min read

Machine Learning Modeling Event Timing Amid Uncertainty

A new model addresses the challenge of uncertain event timing in various fields.

Xiuyuan Cheng, Tingnan Gong, Yao Xie

2025-05-22T21:50:36+00:00 ― 5 min read

Machine Learning Model Complexity and Out-of-Distribution Detection

Exploring how model size affects performance in OOD detection.

Mouïn Ben Ammar, David Brellmann, Arturo Mendoza

2025-05-22T12:12:10+00:00 ― 4 min read

Statistics Theory Understanding Signal Estimation in Noisy Environments

Discover techniques for estimating signals amidst noise in various fields.

Dmitrii M. Ostrovskii

2025-05-21T04:31:36+00:00 ― 6 min read

Statistics Theory Understanding Community Detection with the Bethe-Hessian Matrix

A look at how the Bethe-Hessian matrix aids in community detection.

Ludovic Stephan, Yizhe Zhu

2025-05-21T03:08:58+00:00 ― 6 min read

Computer Science and Game Theory Mechanism Design: Simplifying Market Interactions

Learn how mechanism design shapes effective market strategies for sellers.

Yiding Feng, Yaonan Jin

2025-05-20T20:15:48+00:00 ― 6 min read

Methodology Understanding Kernel Density Estimation and Polyspherical Data

A look into kernel density estimation and its significance in complex data analysis.

Eduardo García-Portugués, Andrea Meilán-Vila

2025-05-19T21:34:33+00:00 ― 6 min read

Statistics Theory New Approaches to Understanding Odds Ratios

Learn about innovative models for analyzing odds ratios in various fields.

Idir Arab, Milto Hadjikyriakou, Paulo Eduardo Oliveira

2025-05-19T18:54:02+00:00 ― 6 min read

Statistics Theory Understanding Local Dependence in Statistics

Learn how local dependence functions reveal interactions between random variables.

Ismihan Bayramoglu, Pelin Ersin

2025-05-17T02:41:38+00:00 ― 7 min read

Statistics Theory The Art of Estimation: How We Guess Lifespans

Learn how we make smart guesses about how long things last.

Lakshmi Kanta Patra, Constantinos Petropoulos, Shrajal Bajpai

2025-05-17T00:01:07+00:00 ― 5 min read

Machine Learning Learning from Time Series Data: A New Perspective

Discover methods to improve understanding of complex systems through time series data.

Jeongjin Park, Nicole Yang, Nisha Chandramoorthy

2025-05-15T13:14:24+00:00 ― 8 min read

Statistics Theory Assessing Time Series Data: Is it White Noise?

Learn how to determine if time series data behaves like white noise.

Patrick Bastian

2025-05-14T07:48:43+00:00 ― 5 min read

Statistics Theory The Challenge of Estimating Lifespan

Understanding censoring and estimation in lifespan testing.

Shrajal Bajpai, Lakshmi Kanta Patra

2025-05-14T05:08:12+00:00 ― 7 min read

Statistics Theory Understanding Different Types of Distance in Math

A look into how various distance measurements impact shapes and data.

Carlos Pinzón

2025-05-14T02:27:41+00:00 ― 7 min read

Methodology Understanding Cause and Effect Through Variation Analysis

A look at how variation analysis improves our insights into cause and effect.

Drago Plecko

2025-05-09T23:28:34+00:00 ― 6 min read

Statistics Theory Understanding Importance Sampling and IMH in Data Analysis

Learn how Importance Sampling and IMH estimate distributions in statistics.

George Deligiannidis, Pierre E. Jacob, El Mahdi Khribch

2025-05-08T15:22:22+00:00 ― 7 min read

Statistics Theory Understanding Wasserstein Spatial Depth: A New Approach to Data Analysis

Learn how Wasserstein Spatial Depth helps make sense of complex data.

François Bachoc, Alberto González-Sanz, Jean-Michel Loubes

2025-05-07T12:37:12+00:00 ― 5 min read

Machine Learning Understanding Dense Neural Networks for Data Analysis

Learn how dense neural networks analyze complex data over time and space.

Zhi Zhang, Carlos Misael Madrid Padilla, Xiaokai Luo

2025-05-06T09:52:02+00:00 ― 5 min read

Machine Learning A Fresh Look at Neural Networks with Bayesian Techniques

Introducing an innovative bow tie neural network for better prediction and uncertainty management.

Alisa Sheinkman, Sara Wade

2025-05-05T07:06:52+00:00 ― 6 min read

Machine Learning Tackling Classification Confusion with the Collision Matrix

Learn how the Collision Matrix aids in decision-making across different fields.

Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon

2025-05-04T01:41:11+00:00 ― 7 min read

Statistical Mechanics The Impact of Noise on System Behavior

Exploring the roles of additive and multiplicative noise in various systems.

Ewan T. Phillips, Benjamin Lindner, Holger Kantz

2025-05-02T17:34:59+00:00 ― 6 min read

Methodology A New Approach to Analyzing Messy Data

Learn how partial Gini covariance improves analysis of high-dimensional, heavy-tailed data.

Yilin Zhang, Songshan Yang, Yunan Wu

2025-05-02T14:54:28+00:00 ― 3 min read

Machine Learning How Nearest Neighbor Algorithms Handle Missing Data

Learn how NN algorithms recommend choices even when faced with missing information.

Tathagata Sadhukhan, Manit Paul, Raaz Dwivedi

2025-05-02T01:31:53+00:00 ― 6 min read

Machine Learning Tackling Off-Policy Estimation in Data Science

Examining treatment effects through adaptive methods in existing data.

Jeonghwan Lee, Cong Ma

2025-05-01T22:51:22+00:00 ― 7 min read

Statistics Theory Navigating Unimodal Maps in a Noisy World

Learn how unimodal maps help us predict amidst noise.

Fabrizio Lillo, Stefano Marmi, Matteo Tanzi

2025-04-29T14:40:31+00:00 ― 9 min read

Statistics Theory Outliers in Data Analysis: Understanding the Distinction

Learn about adversarial and heavy-tailed outliers in data analysis.

Yeshwanth Cherapanamjeri, Daniel Lee

2025-04-27T15:32:15+00:00 ― 7 min read

Machine Learning Active Learning: Machines that Choose Wisely

Machines learn efficiently by selecting the most useful data for training.

Frederik Eaton

2025-04-27T07:33:45+00:00 ― 7 min read

Statistics Theory Discovering Communities in Binary Graphical Models

A concise look at community detection within networks and its applications.

Julien Chevallier, Guilherme Ost

2025-04-26T19:36:00+00:00 ― 5 min read

Statistics Theory Federated Learning: Balancing Privacy and Data Insights

A look at federated learning and its role in data privacy.

Jingyang Li, T. Tony Cai, Dong Xia

2025-04-26T15:36:45+00:00 ― 5 min read

Statistics Theory Estimation Techniques in Gaussian Trace Analysis

A look into Gaussian trace estimators and their applications in statistics.

Eric Hallman

2025-04-25T15:41:15+00:00 ― 7 min read