Results 81 to 90 of about 168,901 (276)

Augmentation schemes for particle MCMC [PDF]

Statistics and Computing, 2015
Particle MCMC involves using a particle filter within an MCMC algorithm. For inference of a model which involves an unobserved stochastic process, the standard implementation uses the particle filter to propose new values for the stochastic process, and MCMC moves to propose new values for the parameters.
Fearnhead, Paul, Meligkotsidou, Loukia
openaire   +5 more sources

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source

Model Probit Spasial pada Faktor-Faktor yang Mempengaruhi Klasifikasi IPM di Pulau Jawa

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2013
Human pembagunan Index (HDI) is a composite index that includes three basic dimensions of human development is considered to reflect the status of the population's basic abilities of health, educational attainment, and purchasing power.
Feni Ira Puspita, Vita Ratnasari, Purhadi Purhadi   +2 more
doaj   +1 more source

MCMC METHODS FOR DIFFUSION BRIDGES [PDF]

Stochastics and Dynamics, 2008
We present and study a Langevin MCMC approach for sampling nonlinear diffusion bridges. The method is based on recent theory concerning stochastic partial differential equations (SPDEs) reversible with respect to the target bridge, derived by applying the Langevin idea on the bridge pathspace.
Beskos, Alexandros, Roberts, Gareth, Stuart, Andrew, Voss, Jochen   +3 more
openaire   +3 more sources

Embracing Creative Nonconformists and Promoting Them May Require Leaders' High Control Appraisals

Journal of Organizational Behavior, EarlyView.
ABSTRACT Promoting creative employees is essential to innovation and organizational success. However, leaders do not always embrace the nonconformist nature of creative behaviors. This study examines how leaders' control appraisals—a personal orientation reflecting their belief in their own ability to control situations—influence their receptiveness ...
Xue Peng, Wen Cheng, Man‐Nok Wong
wiley   +1 more source

Application of Markov chain Monte Carlo and machine learning for identifying active modules in biological graphs

Научно-технический вестник информационных технологий, механики и оптики
In biology, information about interactions between the proteins or genes under study can be represented as a biological graph. A connected subgraph, whose vertices perform a common biological function, is called an active module.
D. A. Usoltsev, I. I. Molotkov, M. N. Artomov, A. A. Sergushichev, A. A. Shalyto   +4 more
doaj   +1 more source

Bayesian state-space models with multiple CPUE data: the case of a mullet fishery

Scientia Marina, 2017
We propose a novel Bayesian hierarchical structure of state-space surplus production models that accommodate multiple catch per unit effort (CPUE) data of various fisheries exploiting the same stock.
Rodrigo Sant’Ana, Paul Gerhard Kinas, Laura Villwock de Miranda, Paulo Ricardo Schwingel, Jorge Pablo Castello, João Paes Vieira   +5 more
doaj   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

International Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas, Athanassios Argiriou, Anna Mamara   +2 more
wiley   +1 more source

Simple reparameterization to improve convergence in linear mixed models

Acta Agriculturae Slovenica, 2010
Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and ...
Gregor GORJANC, Tina FLISAR, Jose Carlos MARTÍNEZ-ÁVILA, Luis Alberto GARCÍA-CORTÉS   +3 more
doaj   +1 more source

Efficacy of Lebrikizumab in Patients With Severe Atopic Dermatitis Who Would be Eligible for Treatment Based on the South Korean Reimbursement Criteria

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Lebrikizumab is approved to treat patients with moderate‐to‐severe atopic dermatitis (AD). Objectives This study evaluated the 16‐week efficacy outcomes of lebrikizumab in adults and adolescents with severe AD in ADvocate trials who would be eligible for treatment based on South Korean reimbursement‐like criteria. Methods This was a
Chong Hyun Won, Chun Wook Park, Jiyoung Ahn, Joo Yeon Ko, Sang Hyun Cho, Yang Won Lee, Joo Hee Lee, Khai Jing Ng, Min Young Hong, Jinglin Zhong, Martin Dossenbach, Sang Wook Son   +11 more
wiley   +1 more source