Results 101 to 110 of about 6,398 (252)

On the Bayesian analysis of species sampling mixture models for density estimation [PDF]

open access: yes, 2006
The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
core  

Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method

open access: yesInternational Statistical Review, EarlyView.
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang   +2 more
wiley   +1 more source

Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series [PDF]

open access: yes
This paper establishes a suite of uniform consistency results for nonparametric kernel density and regression estimators when the time series regressors concerned are nonstationary null-recurrent Markov chains. Under suitable conditions, certain rates of
Dag Tjøstheim, Jiti Gao, Degui Li
core   +3 more sources

Semiparametric Estimation in Multivariate Nonstationary Time Series Models [PDF]

open access: yes
A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Peter C.B. Phillips, Jiti Gao
core  

The prevalence of frailty and associated factors in patients with type 2 diabetes mellitus and coronary heart disease: A cross‐sectional study

open access: yesJournal of Diabetes Investigation, EarlyView.
Among 217 participants, 43.8% were frail. Frailty was common among patients with T2DM and CHD. Blood glucose, BNP, anxiety, sleep duration, nutritional risk, history of PCI, and age were independently associated with frailty in patients with T2DM and CHD.
Junwen Ma, Jing Wang, Wei Zhu
wiley   +1 more source

Efficient estimation of parameters in marginals in semiparametric multivariate models [PDF]

open access: yes
Recent literature on semiparametric copula models focused on the situation when the marginals are specified nonparametrically and the copula function is given a parametric form.
Artem Prokhorov, Valentyn Panchenko
core  

Feeding ecology of an Amazonian electric knifefish under altered flood‐pulse dynamics caused by hydroelectric damming

open access: yesJournal of Fish Biology, EarlyView.
Abstract This study evaluated the effects of the controlled flood pulse on diet composition, trophic niche breadth and feeding intensity of Archolaemus janeae, an electric knifefish species with a restricted distribution in the Amazon Basin. Monthly samples were collected from December 2020 to November 2021 in the Volta Grande stretch of the Xingu ...
Ana F. V. N. M. Costa   +8 more
wiley   +1 more source

Reproductive plasticity and environmental tolerance of invasive African catfish (Clarias gariepinus) in a tropical Brazilian river

open access: yesJournal of Fish Biology, EarlyView.
Abstract Invasive alien species (IAS) pose a significant threat to biodiversity, particularly when endowed with high ecological and reproductive plasticity. The African catfish, Clarias gariepinus, is one such species, widely recognized for its ability to colonize and establish in diverse tropical ecosystems.
Michelle Torres Dumith   +1 more
wiley   +1 more source

Nonparametric Econometrics: The np Package [PDF]

open access: yes
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
core   +1 more source

Heterogeneity in Manufacturing Growth Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract We analyze differences in output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multilevel quantile regression approach, we find that industries exhibit heterogeneous increases of downside risk in times of tight financial conditions, while upside potential remains stable.
DAAN OPSCHOOR   +2 more
wiley   +1 more source

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