Mathematics - Statistics Theory

RSS

Statistics Theory Kurtosis and Its Role in Data Analysis

Learn how kurtosis affects data behavior across various fields.

Bowen Zhou, Peirong Xu, Cheng Wang

2025-06-16T06:50:16+00:00 ― 5 min read

Latest Articles

Statistics Theory Advancing Community Recovery in Network Science

A new spectral algorithm aims to improve community recovery in labeled networks.

Julia Gaudio, Heming Liu

2025-06-15T09:58:36+00:00 ― 6 min read

Applications Advancements in Dynamic Ranking Systems

A new model addresses challenges in ranking with changing data.

Yi Han, Thomas C. M. Lee

2025-06-15T04:08:08+00:00 ― 9 min read

Statistics Theory The Challenge of Achieving Statistical Significance

Examining how added variables influence statistical significance in research findings.

Danielle Tsao, Ronan Perry, Carlos Cinelli

2025-06-14T23:57:48+00:00 ― 5 min read

Statistics Theory Hierarchical Topic Modeling for Text Analysis

A study on using tree structures to enhance topic modeling in text data.

Sunrit Chakraborty, Rayleigh Lei, XuanLong Nguyen

2025-06-14T13:06:56+00:00 ― 5 min read

Methodology Jackknife Empirical Likelihood: A Flexible Statistical Method

A new approach for handling complex data with statistical analysis.

Naresh Garg, Litty Mathew, Isha Dewan

2025-06-14T12:16:52+00:00 ― 4 min read

Metric Geometry Extending Grunbaum's Inequality in Curved Spaces

Exploring the application of Grunbaum's inequality in complex geometric environments.

Victor-Emmanuel Brunel, Shin-ichi Ohta, Jordan Serres

2025-06-13T22:05:44+00:00 ― 7 min read

Statistics Theory Advancements in Filtering Noisy Biological Data

Research improves data filtering techniques for tracking cell movements.

Jan Szalankiewicz, Cristina Martinez-Torres, Wilhelm Stannat

2025-06-13T09:34:44+00:00 ― 4 min read

Machine Learning Harnessing Transfer Learning for Better Performance

Learn how transfer learning improves machine learning outcomes with limited data.

Steve Hanneke, Samory Kpotufe

2025-06-13T06:14:28+00:00 ― 7 min read

Methodology New Tests for Pareto Type-I Distribution

Improved methods for assessing Pareto type-I distribution with censored data.

Avhad Ganesh Vishnu, Ananya Lahiri, Sudheesh K. Kattumannil

2025-06-12T22:43:52+00:00 ― 5 min read

Methodology Quantifying Uncertainty in Interval Health Data

This article discusses the significance of measuring uncertainty in health data analysis.

Carlos García Meixide, Michael R. Kosorok, Marcos Matabuena

2025-06-12T21:53:48+00:00 ― 4 min read

Statistics Theory Advanced Techniques for Variable Selection in High-Dimensional Data

A look into variable selection methods for complex data analysis.

Takashi Takahashi

2025-06-12T17:43:28+00:00 ― 7 min read

Statistics Theory Challenges in Kernel Regression with High-Dimensional Data

A look into kernel regression's challenges and insights in high-dimensional settings.

Weihao Lu, Jialin Ding, Haobo Zhang

2025-06-11T15:01:20+00:00 ― 8 min read

Methodology Analyzing Functional Data Through Directional Regularity

A new method enhances the analysis of functional data by accounting for directionality.

Omar Kassi, Sunny G. W. Wang

2025-06-11T14:11:16+00:00 ― 6 min read

Statistics Theory Analyzing Non-Stationary Random Fields in Various Fields

Discover methods to analyze complex, non-uniform data across different areas.

Yunyi Zhang, Zhou Zhou

2025-06-11T09:10:52+00:00 ― 5 min read

Fluid Dynamics Advancing Heart Disease Treatment with Computer Models

Patient-specific models enhance understanding of heart blood flow and treatment strategies.

Karthik Menon, Andrea Zanoni, Owais Khan

2025-06-10T22:20:00+00:00 ― 6 min read

Statistics Theory Advancements in Density Deconvolution Techniques

New methods improve signal recovery from noisy data without noise distribution knowledge.

Jérémie Capitao-Miniconi, Elisabeth Gassiat, Luc Lehéricy

2025-06-10T17:19:36+00:00 ― 5 min read

Statistics Theory Diverse Selections with Determinantal Point Processes

A look into DPPs and their role in selecting diverse item groups.

Hannah Friedman

2025-06-09T16:17:36+00:00 ― 5 min read

Statistics Theory Sparse Regularized Linear Regression: A Practical Overview

A guide to understanding sparse regularized linear regression and its applications in data analysis.

Jasper Marijn Everink, Yiqiu Dong, Martin Skovgaard Andersen

2025-06-09T15:27:32+00:00 ― 6 min read

Statistics Theory Advancements in Generative Modelling with Quantile Regression

Combining generative modelling and quantile regression for effective data generation.

Johannes Schmidt-Hieber, Petr Zamolodtchikov

2025-06-09T00:26:20+00:00 ― 6 min read

Quantum Physics Estimating Fidelity in Quantum States

Key methods for measuring how close quantum states are to desired outcomes.

Omar Fawzi, Aadil Oufkir, Robert Salzmann

2025-06-08T23:36:16+00:00 ― 5 min read

Statistics Theory Estimating Null Hypothesis Proportion in Dependent Tests

Analyzing how to estimate null hypotheses in dependent statistical tests.

Nabaneet Das

2025-06-08T22:46:12+00:00 ― 5 min read

Statistics Theory Understanding Customer Behavior in Service Queues

Explore customer choices in queues and their impact on service efficiency.

Daniel Podorojnyi, Liron Ravner

2025-06-08T21:56:08+00:00 ― 5 min read

Applications New Approaches to Data Sharing in Clinical Research

Innovative methods protect patient privacy while advancing medical research collaboration.

Mengtong Hu, Xu Shi, Peter X. -K. Song

2025-06-08T11:05:16+00:00 ― 6 min read

Statistics Theory Simplifying Document Formatting with elsarticle.cls

A guide to efficiently format academic submissions using elsarticle.cls.

Avhad Ganesh Vishnu, Ananya Lahiri, Sudheesh K. Kattumannil

2025-06-07T16:43:48+00:00 ― 5 min read

Statistics Theory New Method for Estimating Variance in Markov Chains

Introducing an efficient way to estimate variance in ever-changing systems.

Shubhada Agrawal, Prashanth L. A., Siva Theja Maguluri

2025-06-07T15:53:44+00:00 ― 6 min read

Statistics Theory Efficient Estimation Techniques for Incomplete Data

Learn how to estimate values accurately from incomplete datasets.

Thomas B. Berrett

2025-06-07T15:03:40+00:00 ― 5 min read

Statistics Theory A Fresh Look at Statistical Averages

Exploring new methods for estimating averages in the presence of outliers.

Elina Kresse, Emils Silins, Janis Valeinis

2025-06-07T14:13:36+00:00 ― 4 min read

Statistics Theory Uniform Estimation in Nonparametric M-Estimators

A guide to uniform estimation and inference methods in nonparametric statistics.

Matias D. Cattaneo, Yingjie Feng, Boris Shigida

2025-06-07T13:23:32+00:00 ― 5 min read

Machine Learning Advanced Target Tracking in Sensor Networks

New distributed methods enhance target tracking while reducing energy costs.

Xingchi Liu, Lyudmila Mihaylova, Jemin George

2025-06-06T07:21:08+00:00 ― 5 min read

Methodology Clustering Binned Data with Bayesian Methods

A guide on clustering binned data using Bayesian nonparametric methods.

Asael Fabian Martínez, Carlos Díaz-Avalos

2025-06-05T20:30:16+00:00 ― 6 min read

Machine Learning Improving Anomaly Detection with Neural Networks

This article discusses enhancing unsupervised anomaly detection using classification methods.

Tian-Yi Zhou, Matthew Lau, Jizhou Chen

2025-06-05T19:40:12+00:00 ― 6 min read

Probability New Insights into Transportation Problems in Higher Dimensions

This study examines transportation costs involving random points and advanced mathematical techniques.

Martin Huesmann, Michael Goldman, Dario Trevisan

2025-06-05T07:09:12+00:00 ― 4 min read

Statistics Theory The Remedian: A New Approach to Estimating Medians

A method for estimating medians in real-time data with minimal resources.

Philip T. Labo

2025-06-04T19:28:16+00:00 ― 5 min read

Statistics Theory Navigating Irregular Time Series Data Analysis

Learn to analyze irregular time series data for better predictions and insights.

Mohamedou Ould-Haye, Anne Philippe

2025-06-04T18:38:12+00:00 ― 4 min read

Cryptography and Security Protecting Privacy with Differential Privacy

A look at how differential privacy safeguards individual data in a data-driven world.

Weijie J. Su

2025-06-04T17:48:08+00:00 ― 6 min read

Statistics Theory Improving the Ensemble Kalman Filter for Dynamic Systems

This study enhances the Ensemble Kalman Filter for nonlinear applications.

Edoardo Calvello, Pierre Monmarché, Andrew M. Stuart

2025-06-04T10:17:32+00:00 ― 7 min read

Statistics Theory Bayesian Methods for Mismatched Data

A new approach to accurately match records in error-prone datasets.

Abhisek Chakraborty, Saptati Datta

2025-06-04T01:56:52+00:00 ― 5 min read

Statistics Theory Rethinking Inequality Measurement: A Multivariate Approach

A new method for measuring inequality across multiple factors offers deeper insights.

Gennaro Auricchio, Paolo Giudici, Giuseppe Toscani

2025-06-04T01:06:48+00:00 ― 6 min read

Methodology Advancing Bayesian Models with Moment-Generating Functions

A new method enhances marginal likelihood calculations in Bayesian statistics.

Si-Yang R. Y. Li, David A. van Dyk, Maximilian Autenrieth

2025-06-03T12:35:48+00:00 ― 5 min read

Statistics Theory Understanding the Ornstein-Uhlenbeck Process in Various Fields

A look at the Ornstein-Uhlenbeck process and its real-world applications.

Vivek Kaushik

2025-06-03T02:35:00+00:00 ― 4 min read