Elastic functional Cox regression model with shape predictors. [PDF]
Chen YT, Kurtek S.
europepmc +1 more source
Detection of the emerging tick-borne pathogen, Tamdy virus, in Dermacentor marginatus ticks, southeastern Türkiye. [PDF]
Dincer E, Timurkan MO.
europepmc +1 more source
Epilepsy, Intellectual and Developmental Disabilities, and Contraception in U.S. Medicaid Claims Data. [PDF]
Kirkpatrick L +12 more
europepmc +1 more source
Multidimensional Digital Literacy and Quality of Life Among Informal Care Dyads in Malaysia: Cross-Sectional Survey. [PDF]
Mohammadzadeh Yazd F +4 more
europepmc +1 more source
Surveillance of Migratory Shorebirds and Seabirds in 2024 in Australia Reveals Incursions of a Diversity of Low Pathogenicity Avian Influenza Viruses, but Not High Pathogenicity Avian Influenza H5N1. [PDF]
Wille M +21 more
europepmc +1 more source
Molecular detection and characterization of Anaplasma phagocytophilum-related strains and Hepatozoon spp. in domestic cats in eastern Türkiye. [PDF]
Akgul O, Oguz B.
europepmc +1 more source
Related searches:
The maximum likelihood and maximum partial likelihood approaches to the proportional hazards model are unified. The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, discrete, or a mixture.
Göran Broström, Marie Lindkvist
openaire +1 more source
A note on a partial empirical likelihood
Biometrika, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zou, F., Fine, J. P.
openaire +1 more source
Stratified partial likelihood estimation
Journal of Econometrics, 1999When multiple durations are generated by a single unit, they may be related in a way that is not fully captured by the regressors. The omitted unit-specific variables might vary over the durations. They might also be correlated with the variables in the regression component.
Ridder, Geert, Tunalı, İnsan
openaire +3 more sources
Partial likelihood for signal processing
IEEE Transactions on Signal Processing, 2003We present partial likelihood (PL) as an effective means for developing nonlinear techniques for signal processing. Posing signal processing problems in a likelihood setting provides a number of advantages, such as allowing the use of powerful tools in statistics and easy incorporation of model order/complexity selection into the problem by use of ...
Tülay Adali, Hongmei Ni
openaire +1 more source

