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In regression with unsupervised clustering, the explanatory variables are first clustered, and separate regression models are then built for each cluster. The resulting models are often evaluated using in-cluster prediction criteria, such as the Akaike Information Criterion (AIC) and the Bayesian Information Criterion...
Zhang, Yan · Liao, Jun · Fan, Xinyan · Fang, Kuangnan · y 1 más
In complex systems, networks represent connectivity relationships between nodes through edges. Latent space models are crucial in analyzing network data for tasks like community detection and link prediction due to their interpretability and visualization capabilities. However, when the network size is relatively small...
Methodology (stat.ME)FOS: Computer and information sciencesMethodology
As one of the most powerful tools for examining the association between functional covariates and a response, the functional regression model has been widely adopted in various interdisciplinary studies. Usually, a limited number of functional covariates are assumed in a functional linear regression model. Nevertheless...
Methodology (stat.ME)FOS: Computer and information sciencesMethodologymathematics
Functional regressors complicate inference in linear regression problems so that the bootstrap can play a useful role in quantifying uncertainty and calibrating intervals. The best bootstrap in practice, though, can depend on factors in the data as well as computational considerations and existing bootstraps can have l...
Methodology (stat.ME)FOS: Computer and information sciencesMethodologyStatistics Theory
The two popular systemic risk measures CoVaR (Conditional Value-at-Risk) and CoES (Conditional Expected Shortfall) have recently been receiving growing attention on applications in economics and finance. In this paper, we study the estimations of extreme CoVaR and CoES when the two random variables are asymptotic indep...
Methodology (stat.ME)FOS: Computer and information scienceseconomics and businesssocial sciences
Matrix-valued time series are ubiquitous in modern economics and finance, yet modeling them requires navigating a trade-off between flexibility and parsimony. We propose the Matrix Autoregressive model with Common Factors (MARCF), a unified framework for high-dimensional matrix time series that bridges the structural g...
Methodology (stat.ME)FOS: Computer and information sciencesFOS: Economics and businessMethodology
The survey experiment is widely used in economics and social sciences to evaluate the effects of treatments or programs. In a standard population-based survey experiment, the experimenter randomly draws experimental units from a target population of interest and then randomly assigns the sampled units to treatment or c...
Methodology (stat.ME)FOS: Computer and information sciencessociologysocial sciences
Statistical inference in parametric models (e.g., the Bradley--Terry model and its variants) for paired-comparison data has been explored in the high-dimensional regime, in which the number of items involving in paired comparisons diverges. However, parametric models are highly susceptible to model misspecification. To...
Methodology (stat.ME)FOS: Computer and information sciencesMethodologymathematics
Bidirectional causal relationships arising from mutual interactions between variables are commonly observed within biomedical, econometrical, and social science contexts. When such relationships are further complicated by unobserved factors, identifying causal effects in both directions becomes especially challenging....
Methodology (stat.ME)FOS: Computer and information sciencesMethodologymathematics
Anna Jankowska-Mąkosa · Damian Knecht · Jakub Nicpoń · Józef Nicpoń · y 1 más
Research into the determination of intestinal parasitic levels in free-living animals can provide knowledge enabling action to be taken to improve their health status. The aim of the study was to determine the relationship between the carcass weight of wild boars and the degree of endoparasite infection. The research w...
veterinary science2. Zero hungercarcass weightendoparasites
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