Comparison of Maximum Statistics for Hypothesis Testing When a Nuisance Parameter Is Present only under the Alternative [PDF]
, 2005 Gang Zheng, Zehua Chen
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Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Journal of Periodontal Research, EarlyView.Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
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Sequential Estimation Through Estimating Equations in the Nuisance Parameter Case [PDF]
, 1982 Pedro Eduardo Ferreira
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Density‐Valued ARMA Models by Spline Mixtures
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
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Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
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Cosmological systematics beyond nuisance parameters: form-filling functions [PDF]
, 2009 T. Kitching +4 more
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The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
Journal of Time Series Analysis, EarlyView.ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
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Nuisance parameter elimination for proportional likelihood ratio models with nonignorable missingness and random truncation. [PDF]
Biometrika, 2013 Chan KC.
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Nuisance parameter free inference on cointegration parameters in the presence of a variance shift [PDF]
, 2010 H. Peter Boswijk
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Seeing the Speaker's Face Enhances Second Language Shadowing: Neural and Behavioral Evidence
Language Learning, EarlyView.Abstract This functional magnetic resonance imaging (fMRI) study investigated how facial cues influence second language (L2) shadowing among 42 Japanese learners of English. Participants completed four conditions that varied by task type (listening vs. shadowing) and visual input (face vs. mosaic).
Hyeonjeong Jeong +7 more
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