Results 81 to 90 of about 122,222 (300)

Marginal Likelihood for Markov-Switching and Change-Point Garch Models [PDF]

GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC methods due to
Arnaud Dufays, Jeroen Rombouts, Luc Bauwens   +2 more
core  

Appendix A. Details for computing the marginal likelihood and obtaining the maximum likelihood estimators. [PDF]

, 2016
Details for computing the marginal likelihood and obtaining the maximum likelihood ...
Richard B. Chandler (2908592), J. Andrew Royle (111267), Kimberly D. Gazenski (2925063), Tabitha A. Graves (111262)   +3 more
core   +1 more source

Exploring age-related physical and cognitive decline in a nationally representative sample of US women

Women's Health
Background: Functional limitations play a critical role in shaping overall health and quality of life. Among women, functional difficulties are influenced by a variety of factors, which may vary across difference life stages.
Elizabeth Evans, Molly Jacobs
doaj   +1 more source

Marginal Likelihood Integrals for Mixtures of Independence Models

J. Mach. Learn. Res., 2008
Inference in Bayesian statistics involves the evaluation of marginal likelihood integrals. We present algebraic algorithms for computing such integrals exactly for discrete data of small sample size. Our methods apply to both uniform priors and Dirichlet priors.
Shaowei Lin, Bernd Sturmfels, Zhiqiang Xu   +2 more
openaire   +3 more sources

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Marginal likelihood calculation for gelfand-dey and Chib Method [PDF]

One advantage of Bayesian estimation is its solid theoretical ground on model comparison, which relies heavily upon the accurate calculation of marginal likelihood.
Liu, Chun
core   +1 more source

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]

We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel, Johansen, Adam M., Doucet, Arnaud   +2 more
core   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Basic Features of the Analysis of Germination Data with Generalized Linear Mixed Models

Data, 2020
Germination data are discrete and binomial. Although analysis of variance (ANOVA) has long been used for the statistical analysis of these data, generalized linear mixed models (GzLMMs) provide a more consistent theoretical framework. GzLMMs are suitable
Alberto Gianinetti
doaj   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown, Giulia Carli, Prabesh Kanel, Stiven Roytman, Jaimie Barr, Nicolaas I. Bohnen, Roger L. Albin   +6 more
wiley   +1 more source