Results 51 to 60 of about 115,501 (297)

A procedure for tidal analysis with a Bayesian information criterion [PDF]

Geophysical Journal International, 2007
SUMMARY A computer algorithm for tidal analysis is developed, based on a Bayesian method proposed by Ishiguro ef af. (1983). The basic assumption of the method is smoothness of the drift. This assumption is represented in the form of prior probability in the Bayesian model.
Y. Tamura, T. Sato, M. Ooe, M. Ishiguro
openaire   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Previsão da temperatura média mensal de Uberlândia, MG, com modelos de séries temporais Forecast of monthly mean temperatures in Uberlândia, Minas Gerais, Brazil using time series models

Revista Brasileira de Engenharia Agrícola e Ambiental, 2008
Modelos de séries temporais têm sido amplamente usados no estudo de variáveis climatológicas, como temperatura e precipitação. Diversos são os objetivos traçados neste trabalho a fim de se analisar a série de temperatura média mensal da cidade de ...
Maria I. S. Silva, Ednaldo C. Guimarães, Marcelo Tavares   +2 more
doaj   +1 more source

Multiple Regression Model Selection by Information Criteria [PDF]

المجلة العراقية للعلوم الاحصائية, 2009
In this paper, I considered the problem of selection a model from a collection of candidate models specified by multiple linear regression model. Two criteria are used and compared, they are Akaike information criterion ( ) and Bayesian information ...
Zakaria Y. AL-Jammal
doaj   +1 more source

A bayesian approach for predicting with polynomial regresión of unknown degree. [PDF]

, 2003
This article presents a comparison of four methods to compute the posterior probabilities of the possible orders in polynomial regression models. These posterior probabilities are used for forecasting by using Bayesian model averaging.
Guttman, Irwin, Peña, Daniel, Redondas, María Dolores   +2 more
core  

A new penalty term for the BIC with respect to speaker diarization [PDF]

, 2010
In this paper we examine a new penalty term for the Bayesian Information Criterion (BIC) that is suited to the problem of speaker diarization. Based on our previous approach of penalizing each cluster only with its effective sample size - an approach we ...
Stafylakis, Themos, George Carayannis, Georgios Tzimiropoulos, Themos Stafylakis, Carayannis, George, Stafylakis, T, Tzimiropoulos, Georgios, Katsouros, Vassilis, Katsouros, V, Carayannis, G, Tzimiropoulos, G, Vassilis Katsouros   +11 more
core   +1 more source

Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz, Neha V. Safi, Iliana Pliska‐Bloch, Ulrike W. Kaunzner, Ha Luu, Mert Sisman, Yi Wang, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

Bayesian Model Averaging and Bayesian Predictive Information Criterion for Model Selection

Journal of the Japan Statistical Society, 2008
exaly   +3 more sources

Prior elicitation and variable selection for bayesian quantile regression [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Bayesian subset selection suffers from three important difficulties: assigning priors over model space, assigning priors to all components of the regression
Al-Hamzawi, Rahim Jabbar Thaher
core  

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree, Beatrice Suero, Sarah Walsh, Romain Marignier, John W. Lindsey, Ho Jin Kim, Dewei She, Daniel Cimbora, Dustin Cavida, Friedemann Paul   +9 more
wiley   +1 more source