Results 131 to 140 of about 6,656,167 (244)

Statistical Generalized Derivative Applied to the Profile Likelihood Estimation in a Mixture of Semiparametric Models. [PDF]

Entropy (Basel), 2020
Hirose Y, Liu I.
europepmc   +1 more source

Accurate agreement estimation in crowdsourced relevance assessments via statistical models based on the beta distribution

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract Data crowdsourcing is often used to collect relevance assessments in information retrieval tasks. However, estimating the agreement among crowdworkers is nontrivial, since data is sparse and often collected on a variety of rating scales.
Giuseppe Alfonzetti, Ruggero Bellio, Paolo Vidoni   +2 more
wiley   +1 more source

Mixtures of Neural Network Experts With Application to Phytoplankton Flow Cytometry Data

Environmetrics, Volume 37, Issue 7, October 2026.
ABSTRACT Flow cytometry is a valuable technique that measures the optical properties of particles at a single‐cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton.
Ethan Pawl, François Ribalet, Paul A. Parker, Sangwon Hyun   +3 more
wiley   +1 more source

Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias

Scientific Reports
Accurate modeling of satellite clock bias (SCB) is critical for enhancing high-precision positioning capabilities. Existing approaches, such as semiparametric adjustment models and neural networks, address the nonlinearity and non-stationarity of SCB ...
Lihong Jin, Wanzhuo Zhao, Xiong Pan, Qingsong Ai, Mao Cai, Xiaoli Ruan   +5 more
doaj   +1 more source

Incremental Propensity Score Interventions: A Primer for Pharmacoepidemiologists

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 10, October 2026.
ABSTRACT Background In observational pharmacoepidemiology, estimating average treatment effects (ATEs) is often challenging due to a lack of practical positivity. In highly selective clinical settings, certain patients almost always or never receive treatment, causing ATE estimators to rely on unstable extrapolation.
Byeong Yeob Choi
wiley   +1 more source

Endogenous semiparametric binary choice models with heteroscedasticity [PDF]

In this paper we consider endogenous regressors in the binary choice model under a weak median exclusion restriction, but without further specification of the distribution of the unobserved random components.
Stefan Hoderlein
core  

Generalizing Conditional Average Treatment Effects From Nested Randomized Trials to Trial‐Eligible Individuals

Statistics in Medicine, Volume 45, Issue 23-24, October 2026.
ABSTRACT Randomized controlled trials often enroll participants whose characteristics differ from those of a target population. When the distribution of effect modifiers differs between trial participants and the target population, treatment effects estimated within the trial may not be directly applicable to all trial‐eligible individuals.
Lan Wen, Issa J. Dahabreh, Yu‐Han Chiu
wiley   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

Teaching Statistics, Volume 48, Issue 3, Page 185-197, Autumn (Fall) 2026.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti, Daniele De Martini   +1 more
wiley   +1 more source

An asymptotic theory for model selection inference in general semiparametric problems. [PDF]

Recently, Hjort and Claeskens (2003) developed an asymptotic theory for model selection, model averaging and post-model selection/averaging inference using likelihood methods in parametric models, along with associated confidence statements.
Claeskens, Gerda, Carroll, RJ
core  

Trade Sophistication and Economic Development Stages in the Context of Global Digitalization

The World Economy, Volume 49, Issue 10, Page 2039-2059, October 2026.
ABSTRACT This study aims to explore the relationship between trade sophistication and economic development stages, including in the context of digitalization. We employ nonparametric, semiparametric, and parametric methods, covering the period from 2003 to 2024 across 119 countries, categorized into three income groups.
Kim Hanh Nguyen, Anna Strutt, Mark J. Holmes, Steven Lim   +3 more
wiley   +1 more source