Results 31 to 40 of about 1,540,370 (339)
The Annals of Statistics, 1983 The connection between quasi-likelihood functions, exponential family models and nonlinear weighted least squares is examined. Consistency and asymptotic normality of the parameter estimates are discussed under second moment assumptions. The parameter estimates are shown to satisfy a property of asymptotic optimality similar in spirit to, but more ...
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Spatially multi-scale dynamic factor modeling via sparse estimation
International Journal of Mathematics for Industry, 2019 In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
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Occupational stress and body composition of hospital workers: a follow-up study
Frontiers in Public HealthThis study sought to analyze the influence of occupational stress on the body composition of hospital workers after one year of follow-up. This prospective cohort study included 218 workers from one of the leading private hospitals in the municipality of
Carlos Rodrigo Nascimento de Lira +4 more
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Quasi-likelihood for Spatial Point Processes [PDF]
, 2013 Fitting regression models for intensity functions of spatial point processes is of great interest in ecological and epidemiological studies of association between spatially referenced events and geographical or environmental covariates.
Guan, Yongtao +2 more
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Empirical Likelihood for Non‐Smooth Criterion Functions [PDF]
Scandinavian Journal of Statistics, 2009 Abstract. Suppose thatX1,…, Xnis a sequence of independent random vectors, identically distributed as ad‐dimensional random vectorX. Letbe a parameter of interest andbe some nuisance parameter. The unknown, true parameters (μ0,ν0) are uniquely determined by the system of equationsE{g(X,μ0,ν0)} = 0, whereg = (g1,…,gp+q) is a vector ofp+qfunctions.
MOLANES LOPEZ, Elisa Maria +2 more
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Entanglement Distillation Optimization Using Fuzzy Relations for Quantum State Tomography
Algorithms, 2023 Practical entanglement distillation is a critical component in quantum information theory. Entanglement distillation is often utilized for designing quantum computer networks and quantum repeaters.
Timothy Ganesan, Irraivan Elamvazuthi
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Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions [PDF]
Journal of the Optical Society of America A, 2007 Maximum-likelihood (ML) estimation in wavefront sensing requires careful attention to all noise sources and all factors that influence the sensor data. We present detailed probability density functions for the output of the image detector in a wavefront sensor, conditional not only on wavefront parameters but also on various nuisance parameters ...
Harrison H, Barrett +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Maximum Smoothed Likelihood Component Density Estimation in Mixture Models with Known Mixing Proportions [PDF]
, 2014 In this paper, we propose a maximum smoothed likelihood method to estimate the component density functions of mixture models, in which the mixing proportions are known and may differ among observations.
Li, Pengfei, Qin, Jing, Yu, Tao
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