Mathematics - Statistics Theory

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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

Latest Articles

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

Statistics Theory Conformal Inference: A Flexible Statistical Approach

Learn how conformal inference adapts predictions based on data variations.

Ulysse Gazin

2025-06-03T01:44:56+00:00 ― 5 min read

Methodology New Methods for Assessing Treatment Effects

A fresh approach to evaluating the impact of varying treatment amounts on outcomes.

Kyle Schindl, Shuying Shen, Edward H. Kennedy

2025-06-03T00:54:52+00:00 ― 6 min read

Machine Learning Understanding Neural Networks Through Simple Programs

Learn how neural networks mimic programming concepts for effective predictions.

Sourav Chatterjee, Timothy Sudijono

2025-06-03T00:04:48+00:00 ― 6 min read

Probability High Dimensions and the Law of Large Numbers

Examining how high-dimensional spaces affect light blockage and data behavior.

Haim Bar, Vladimir Pozdnyakov

2025-06-02T13:13:56+00:00 ― 6 min read

Methodology Improving Treatment Effect Estimates in Experiments

New methods enhance reliability in estimating average treatment effects.

Ambarish Chattopadhyay, Guido W. Imbens

2025-06-02T12:23:52+00:00 ― 5 min read

Methodology Estimating Treatment Effects in Randomized Experiments

A two-stage method for accurate treatment effect estimation when participants don’t comply.

Zhen Zhong, Per Johansson, Junni L. Zhang

2025-06-02T01:33:00+00:00 ― 6 min read

Statistics Theory Combining Probability and Nonprobability Samples for Better Population Estimates

A new method improves estimation of population characteristics using mixed sampling data.

Jeremy Flood, Sayed Mostafa

2025-06-01T16:22:16+00:00 ― 5 min read

Machine Learning Revisiting Deep Learning with Component-Based Sketching

A new method optimizes deep learning training for better performance on unseen data.

Di Wang, Shao-Bo Lin, Deyu Meng

2025-06-01T14:42:08+00:00 ― 5 min read

Statistics Theory A New Approach to Two-Sample Testing Using Graphs

This paper presents a graph-based method for comparing two data distributions.

Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani

2025-06-01T07:11:32+00:00 ― 6 min read

Methodology Effective Change Detection in Multi-Sensor Data

A method to identify data changes across sensors with minimal false alarms.

Tingnan Gong, Alon Kipnis, Yao Xie

2025-06-01T06:21:28+00:00 ― 5 min read

Probability Understanding Transport Coefficients in Complex Systems

A look into how transport coefficients reveal system behavior under changing conditions.

Shiva Darshan, Andreas Eberle, Gabriel Stoltz

2025-06-01T01:21:04+00:00 ― 6 min read

Statistics Theory Bayesian Models for Time Series Analysis

A look into Bayesian modeling for time series data with correlated errors.

Claudia Kirch, Alexander Meier, Renate Meyer

2025-05-31T15:20:16+00:00 ― 5 min read

Statistics Theory Hybrid Likelihood: A Flexible Statistical Approach

Combining parametric and nonparametric methods for better data analysis.

Ingrid Dæhlen, Nils Lid Hjort

2025-05-31T14:30:12+00:00 ― 6 min read

Probability The Challenges of District Repetition in Political Redistricting

Examining the impact of Sequential Monte Carlo on districting fairness and reliability.

Sarah Cannon, Daryl DeFord, Moon Duchin

2025-05-31T13:40:08+00:00 ― 7 min read

Statistics Theory Managing Noise in Imaging Systems

Techniques for reducing noise improve imaging quality across various fields.

Reihaneh Malekian, Arian Maleki

2025-05-31T12:50:04+00:00 ― 5 min read

Methodology Advancements in Robust Max Statistics for High-Dimensional Data

A novel approach to analyze heavy-tailed data using robust max statistics.

Mingshuo Liu, Miles E. Lopes

2025-05-30T21:16:38+00:00 ― 5 min read

Machine Learning Evaluating Generative Models: A New Approach

This paper examines methods to compare generative models through embedding-based representations.

Aranyak Acharyya, Michael W. Trosset, Carey E. Priebe

2025-05-30T18:31:22+00:00 ― 6 min read