Statistics - Computation

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Computation Estimating Uncertainty in MCMC Simulations

A guide to methods for estimating asymptotic covariance in MCMC simulations.

James M. Flegal, Rebecca P. Kurtz-Garcia

2025-06-14T04:46:16+00:00 ― 5 min read

Latest Articles

Computation Advancing Survival Analysis with NetSurvival.jl

Discover a new tool for efficient survival analysis in medical research.

Rim Alhajal, Oskar Laverny

2025-06-13T14:35:08+00:00 ― 6 min read

Computation Advancing Data Analysis with SCRAMBLE Method

SCRAMBLE enhances data analysis by managing outliers and promoting clarity.

Pia Pfeiffer, Laura Vana-Gür, Peter Filzmoser

2025-06-13T12:04:56+00:00 ― 5 min read

Neurons and Cognition New Method Measures Memory Utilization in Neural Systems

A fresh approach sheds light on how memory works in the brain and heart.

Gorana Mijatovic, Sebastiano Stramaglia, Luca Faes

2025-06-13T10:24:48+00:00 ― 5 min read

Populations and Evolution Advancements in Disease Modeling for Outbreak Response

New methods improve tracking and response to disease outbreaks.

Dhorasso Temfack, Jason Wyse

2025-06-13T08:44:40+00:00 ― 5 min read

Computation Effective Sampling in Bayesian Inverse Problems

A new method for sampling from posterior distributions in inverse problems using Laplace priors.

Rafael Flock, Yiqiu Dong, Felipe Uribe

2025-06-12T23:33:56+00:00 ― 6 min read

Methodology Understanding Nonparanormal Models in Data Analysis

Nonparanormal models provide insights into complex, non-normal data relationships.

Torsten Hothorn

2025-06-12T11:53:00+00:00 ― 5 min read

Methodology Improving Language Placement Tests with Advanced Models

Studying how to group students for effective language placement tests.

Vincent Brault, Frédérique Letué, Marie-José Martinez

2025-06-11T21:41:52+00:00 ― 5 min read

Computation Improving Computer Simulators with Bayesian Active Learning

A method to enhance simulations using Bayesian ideas and active learning.

Chao Dang, Marcos A. Valdebenito, Nataly A. Manque

2025-06-11T20:51:48+00:00 ― 6 min read

Computation Effective Dimensionality Reduction with psvmSDR Package

Explore the psvmSDR package for efficient variable reduction in data analysis.

Jungmin Shin, Seung Jun Shin, Andreas Artemiou

2025-06-11T10:51:00+00:00 ― 5 min read

Computation Evaluating Spillover Effects in Social Networks

This study assesses the impact of social connections on individual outcomes.

Vanessa McNealis, Erica E. M. Moodie, Nema Dean

2025-06-11T10:00:56+00:00 ― 9 min read

Computation Optimizing Temperature Selection in Parallel Tempering MCMC

A new method enhances temperature selection for efficient statistical sampling.

Daniel Zhao, Natesh S. Pillai

2025-06-11T08:20:48+00:00 ― 6 min read

Machine Learning Dataset Distillation: A New Approach to Data Efficiency

This article discusses dataset distillation and its importance in various fields.

Vyacheslav Kungurtsev, Yuanfang Peng, Jianyang Gu

2025-06-11T05:50:36+00:00 ― 7 min read

Quantitative Methods Understanding Agent-Based Modeling in Health Research

Learn how agent-based modeling and random numbers aid health research.

Daniel J. Klein, Romesh G. Abeysuriya, Robyn M. Stuart

2025-06-10T18:09:40+00:00 ― 7 min read

Computation Addressing Challenges in Bayesian Inverse Problems

A new method to improve sampling in complex Bayesian inverse problems.

Zhihang Xu, Xiaoyu Zhu, Daoji Li

2025-06-10T06:28:44+00:00 ― 5 min read

Computation Analyzing Panel Data with POMP Models

Learn how to analyze panel data using partially observed Markov processes.

Carles Breto, Jesse Wheeler, Aaron A. King

2025-06-09T17:57:44+00:00 ― 7 min read

Populations and Evolution Advancements in Phylogenetic Analysis Using SBNs

New models improve understanding of evolutionary relationships among species.

Tianyu Xie, Musu Yuan, Minghua Deng

2025-06-08T02:44:36+00:00 ― 6 min read

Machine Learning The Essence of Causal Discovery in Data Analysis

Discover how causal relationships impact decisions in various fields.

Ziyang Jiao, Ce Guo, Wayne Luk

2025-06-07T03:22:44+00:00 ― 8 min read

Machine Learning E2Tree: A Clearer Path in Ensemble Learning

E2Tree enhances explainability in ensemble models, improving insights into decision-making processes.

Massimo Aria, Agostino Gnasso, Carmela Iorio

2025-06-06T11:31:28+00:00 ― 6 min read

Computation Advancements in Data Assimilation Techniques

New methods improve predictions in complex systems, especially in geoscience.

Hamza Ruzayqat, Omar Knio

2025-06-06T00:40:36+00:00 ― 5 min read

Computation Advancing CT Imaging with a Novel Sampling Method

A new method improves image reconstruction in noisy medical data.

Xiongwen Ke, Yanan Fan, Qingping Zhou

2025-06-05T21:20:20+00:00 ― 7 min read

Machine Learning Machine Learning Methods for Two-Sample Testing with Censored Data

Innovative approaches enhance statistical testing accuracy with incomplete data.

Petr Philonenko, Sergey Postovalov

2025-06-05T17:10:00+00:00 ― 7 min read

Machine Learning Improving Data Sampling with Localization Techniques

Local sampling offers a new way to handle complex data efficiently.

Georg A. Gottwald, Sebastian Reich

2025-06-05T16:19:56+00:00 ― 6 min read

Methodology Identifying Risk Distributions in Prediction Modeling

A method to determine risk distributions using mean and c-statistic.

Mohsen Sadatsafavi, Tae Yoon Lee, John Petkau

2025-06-05T14:39:48+00:00 ― 6 min read

Computation Simplifying Shape Graphs for Biological Insights

Reducing complexity in shape graphs aids biological analysis and classification.

Benjamin Beaudett, Anuj Srivastava

2025-06-05T13:49:44+00:00 ― 5 min read

Methodology New Dynamic Bayesian Network Model for Financial Insights

A new approach to gradual changes in financial networks enhances investment strategies.

Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So

2025-06-05T12:59:40+00:00 ― 6 min read

Machine Learning Introducing Multi-Forests for Multi-Class Outcomes

A new method to analyze multiple class outcomes using variable importance measures.

Roman Hornung, Alexander Hapfelmeier

2025-06-05T02:58:52+00:00 ― 5 min read

Information Theory Analyzing Vision-Based Localization Using Random Patterns

A new framework to evaluate the effectiveness of vision-based positioning systems.

Haozhou Hu, Harpreet S. Dhillon, R. Michael Buehrer

2025-06-04T16:58:04+00:00 ― 7 min read

Methodology Understanding Cure Rate Models for Various Events

Cure rate models help analyze events over time, impacting fields like medicine and social science.

Panagiotis Papastamoulis, Fotios Milienos

2025-06-04T04:27:04+00:00 ― 6 min read

Machine Learning Comparing Neural Networks: MLPs vs. KANs

This article examines MLPs and KANs in low-data environments.

Farhad Pourkamali-Anaraki

2025-06-03T21:46:32+00:00 ― 7 min read

Computation Enhancing Gaussian Processes with LoopH Loss Function

A new method improves Gaussian Process predictions by handling outliers effectively.

Juliette Mukangango, Amanda Muyskens, Benjamin W. Priest

2025-06-03T18:26:16+00:00 ― 6 min read

Computational Physics The Role of Random Numbers in Monte Carlo Simulations

This article examines the impact of random number generators on Monte Carlo simulations.

Anton Lebedev, Annika Möslein, Olha I. Yaman

2025-06-03T13:25:52+00:00 ― 5 min read

Computation Choosing Better Model Settings with RIS-CV

A new method enhances model selection for improved predictions.

David Kepplinger, Siqi Wei

2025-06-02T17:24:16+00:00 ― 6 min read

Computation Simplifying SHAP for Medical Research

A new library enhances SHAP interpretation for medical data analysis.

Youngro Lee, Kyungjin Kim, Jongmo Seo

2025-06-02T14:54:04+00:00 ― 5 min read

Computation New Method for Efficient Data Smoothing

Introducing grid point approximation for handling large datasets effectively.

Yuan Gao, Rui Pan, Feng Li

2025-06-01T18:52:28+00:00 ― 7 min read

Numerical Analysis Bayesian Filtering: A Tool for State Estimation

Learn how Bayesian filtering tackles noisy observations to estimate system states.

Kasper Bågmark, Adam Andersson, Stig Larsson

2025-06-01T10:31:48+00:00 ― 5 min read

Computation Advancements in Bayesian Computation with MLMC and GDMs

Combining MLMC and GDMs improves efficiency in complex problem-solving.

Abdul-Lateef Haji-Ali, Marcelo Pereyra, Luke Shaw

2025-06-01T02:11:08+00:00 ― 7 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

Machine Learning Harmonic Path Integral Diffusion: A New Sampling Method

Introducing H-PID, a method for efficient sampling from complex data distributions.

Hamidreza Behjoo, Michael Chertkov

2025-06-01T00:31:00+00:00 ― 4 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

Methodology A New Method for Analyzing Ecological Data

Researchers develop an efficient way to study species interactions with environmental factors.

Lorenzo Mauri, David B. Dunson

2025-05-31T05:32:26+00:00 ― 5 min read