Latest Articles for Estimates

GROS combines multiple estimators for improved accuracy in data analysis.

A method to improve estimates from non-probability samples using calibration.

Efforts to improve tracking of antimicrobial resistance worldwide through combined data sources.

A new approach to improve regression analysis with varying data points.

A new system improves efficiency in analyzing graph data patterns.

This study proposes a new method for change point detection in complex datasets.

A new method using Bayesian networks enhances system identification and prediction.

A method for estimating interactions in systems using noisy data.

Explore the role of GLMMs and PQL in analyzing complex data.

Sewage analysis aids in early disease detection and public health decisions.

A new system enhances query performance by addressing selectivity estimate issues.

A guide to parameter identifiability and estimation in real-world modeling.

Learn about Approximate Message Passing and its role in data processing.

Bayes factors help researchers evaluate and compare hypotheses using data-driven evidence.

A new method improves object tracking by merging PHD and PMB filters.

Two new estimators enhance accuracy in analyzing item response data.

An overview of two-way clustering methods for better statistical results.

New methods enhance safety in self-driving cars amid unpredictable obstacles.

An overview of discounted pseudocosts and their role in MILP efficiency.

This article reviews methods for analyzing economic indicators with changing parameters.

A new approach enhances the accuracy of employment data estimates.

A new method offers better estimates for treatment effectiveness in rare diseases.

Exploring the enduring mystery of Goldbach's Conjecture and its implications in mathematics.

A study on refined Strichartz estimates for the Schrödinger equation in curved spaces.

New methods improve accuracy and efficiency in solving inverse problems.

New approach estimates microbial growth without detailed tracking.

An innovative approach to measure child trafficking in the Philippines.

Persistent sampling enhances efficiency in Sequential Monte Carlo methods for data analysis.

This study examines methods for real-time tracking of COVID-19 hospitalizations.

New estimates improve understanding of the Möbius function and its role in number theory.

Introducing a flexible model for estimating volatility across various fields.

Bell numbers help us partition sets, revealing their mathematical significance.

GeoMatching improves treatment effect estimates by considering data geometry.

A new method for estimating true distributions from noisy streaming data.

A new method improves parameter estimation for optical communication systems.

A new algorithm improves coordination among nodes under communication limits.

Combining generative modelling and quantile regression for effective data generation.

A new approach to sampling enhances data collection efforts.

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

This paper discusses methods to reduce bias in observational studies with continuous treatments.